US20010054142A1 - Secure database system - Google Patents
Secure database system Download PDFInfo
- Publication number
- US20010054142A1 US20010054142A1 US09/079,117 US7911798A US2001054142A1 US 20010054142 A1 US20010054142 A1 US 20010054142A1 US 7911798 A US7911798 A US 7911798A US 2001054142 A1 US2001054142 A1 US 2001054142A1
- Authority
- US
- United States
- Prior art keywords
- database
- record
- information
- personal
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
- G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2211/00—Indexing scheme relating to details of data-processing equipment not covered by groups G06F3/00 - G06F13/00
- G06F2211/007—Encryption, En-/decode, En-/decipher, En-/decypher, Scramble, (De-)compress
Definitions
- This invention relates to secure databases.
- the object of the present invention is to provide a way of overcoming this problem.
- a computer system comprises:
- a server having a database including at least one personal information table and at least one further table containing information relating to persons whose details are stored in the personal information table;
- each client including an encryption process for converting a personal identifier value, which identifies a record relating to a particular person in said personal information table, into a pseudo-identifier value, which identifies a record relating to the same person in said further table.
- FIG. 1 is a block diagram showing a computer system incorporating a secure database.
- FIG. 2 shows a skeleton model of the database.
- this shows a distributed computer system comprising a server 10 and a number of clients 11 , interconnected by a network 12 .
- the server is a central hospital computer, and the clients are personal computers (PCs), located on individual users' desks.
- the server 10 runs a database application 13 , which may be any database system; for example, it may be an Oracle database.
- Each client 11 runs a client application 14 , which enables an authorised user to communicate with the database, and to access data from it.
- the database 13 holds a number of tables. Each of these tables has a primary key (indicated by “pk”), which uniquely identifies each record in the table. This primary key is a numeric figure, starting with 1 (one) for the first record written in the table and incremented by 1 (one) for each subsequent record inserted into that table. Some of the tables also include foreign keys (indicated by “fk”), which identify connections between the tables.
- the first group contains personal data about patients and users, and the data defining the periods of care. Only the data in this group is required in order to establish if a user is allowed to access the records for a particular patient.
- This group comprises the following tables:
- the information includes such things as name, login name, and doctor's specialism.
- the second group of tables holds medical data. It consists of a large number of tables, each of which holds one and only one group of facts. Some examples of tables in this second group are as follows:
- Each of the tables in this second group has a primary key which is in no way related to the primary keys of the patient or user. Therefore, even if a hacker manages to obtain access to one of these tables, it is not possible for the hacker to relate the medical data to a particular patient or user.
- PIDs pseudo-identifiers
- the PIDs are stored in extra columns of the tables.
- the PID values are calculated from the patients' and users' primary keys, using a cryptographic algorithm.
- the cryptographic algorithm is available only on the clients; the algorithm is not recorded in the database, and so cannot be discovered by a hacker who gains access to the server.
- the algorithm uses a master encryption key, which is different for each hospital.
- the PID values are calculated using a different encryption protocol for each PID in each table. This is achieved by assigning a unique identifier number nr_PID to each PID in each table, and using this number as an input parameter for the cryptographic algorithm.
- the encryption algorithm for a particular PID uses the following three parameters:
- unique identifier numbers nr_PID may be assigned to the PIDs as follows: Table PID nr PID CarePeriod User 34 Registration Patient 47 Registration User 23 Appointment User 127 Medication User 18 PatientNote User 5
- Free-text columns in the database such as in the PatientNote table, present a particular problem, since a user is free to put any text in these columns, and may therefore include the patient's name. This would be of great assistance to a hacker. This problem is overcome by storing such free text in encrypted form, using an encryption algorithm resident on the client.
- the client application first prompts the user to enter his or her login name and password, and sends a login message to the database application.
- the database application receives this message, it authenticates the user.
- Techniques for authentication of users are well known, and so will not be described in any further detail.
- the database application searches the User table, to find the record that matches the user's login name. From this record, the database application obtains the user's primary key.
- the client application then encrypts the user's primary key, using the appropriate nr_PID (34 for example) as a parameter, to generate a user PID value for accessing the CarePeriod table.
- the PID is sent to the database application.
- the database application searches the CarePeriod table, to find all rows containing this PID. This identifies all the patients currently in the care of this particular user.
- the database application uses the patient keys from these rows to access the corresponding rows of the Patient table.
- the patients' personal details are read from the Patient table, and are returned to the client application, where they are displayed to the user.
- This section describes the operation of the system when a user wishes to obtain details of a particular patient's medication. It is assumed that the user has logged in to the system and has obtained the patient's primary key as described above.
- the client application encrypts the patient's primary key, using the appropriate nr_PID (47 for example) as a parameter, so as to generate a patient PID value for accessing the Registration table.
- the patient PID is sent to the database application.
- the database application searches the Registration table to find the row that contains this patient PID value. It then uses the Registration key from this row to access the corresponding row in the Medication table. The medication record of the patient is then read from this row, and is returned to the client application, for displaying to the user.
- This section describes the operation of the system when a user wishes to obtain details of a patient's appointments with a particular doctor. It is assumed that the user has logged in to the system and has obtained the patient's primary key as described above.
- the user primary key for the doctor is first read from a look-up table into the client application.
- the client application then encrypts the patient primary key, using the appropriate nr_PID (47 for example) as a parameter, so as to generate a patient PID value for accessing the Registration table.
- the client application also encrypts the user primary key, using the appropriate nr_PID (23 for example) as a parameter, so as to generate a user PID value for accessing the Registration table.
- the calculated PID values are sent to the database application.
- the database application searches the Registration table, to find a row containing both of these PID values. It then uses the Registration primary key from this row to access the corresponding row in the Appointments table. Details of the appointment are then read from this row, and returned to the client application, for displaying to the user.
- This section describes the operation of the system when a user wishes to view a free-text note relating to a particular patient. It is assumed that the user has logged in to the system and has obtained the patient's primary key as described above.
- the client application first encrypts the patient primary key, using the appropriate nr_PID (47 for example) as a parameter, so as to generate a patient PID value for accessing the Registration table.
- the PID is sent to the database application.
- the database application searches the Registration table, to find the row that contains this patient PID value. It then uses the Registration primary key from this row to access the corresponding row in the PatientNote table. This row contains the (encrypted) free-form text notes relating to the patient, and is returned to the client application. The client application then decrypts the notes, and displays them to the user.
- the user can also update the text, or create new text, using a conventional word processor.
- the client application encrypts this text, and sends it to the database application, for writing into the PatientNote table.
- all traffic over the network 12 is encrypted, to protect it against eavesdropping. It should be noted that this encryption is additional to the encryption processes described above. Encryption techniques for networks are well known, and so will not be described in any further detail in this specification.
- the login procedure may be enhanced with some sort of software for user authentication. This process will involve an extra database server. It is envisaged that the authentication process will, on a positive authentication, return the encryption key or keys to be used by the client application to calculate the required PIDs.
Abstract
A secure database system comprises a server having a database including at least one personal information table and at least one further table containing information relating to the persons whose details are stored in the personal information table. The keys of the tables in the database are unrelated, so that it is impossible to determine solely from information in the server which record in the further table corresponds to which record in the personal information table. Thus, even if a hacker obtains access to the database, the hacker will not be able to relate information in the different tables. Each legitimate client uses an encryption process to convert a personal identifier value, which identifies the record relating to a particular person in the personal information table, into a pseudo-identifier value, which identifies a record relating to the same person in the further table.
Description
- This invention relates to secure databases.
- Many countries have legislation for controlling the way in which personal data may be stored and used on computer systems. For example, the Dutch Personal Data Registration Act (“Wet Persoonsregistraties”) demands (among other things) that the database must be secured against hackers who have succeeded in getting unauthorised access to the database despite all security applied to it. However, it has been found that conventional database systems do not satisfy this requirement. For example, in conventional hospital information systems, if a hacker gains access to a medical history record, the hacker can obtain the patient's key from this record and use this key to access any other records containing information about the same patient, such as the patient's name and address.
- The object of the present invention is to provide a way of overcoming this problem.
- According to the invention a computer system comprises:
- (a) a server having a database including at least one personal information table and at least one further table containing information relating to persons whose details are stored in the personal information table; and
- (b) a plurality of clients, for accessing said database;
- (c) said tables in said database having keys that are unrelated to each other, whereby it is impossible to determine solely from information in the server which record in said further table corresponds to which record in said personal information table; and
- (d) each client including an encryption process for converting a personal identifier value, which identifies a record relating to a particular person in said personal information table, into a pseudo-identifier value, which identifies a record relating to the same person in said further table.
- It can be seen that, even if a hacker obtains access to the database, the hacker will not be able to relate information in the different tables. In a hospital information system for example, if a hacker obtains access to a medical history record, the hacker cannot relate this record to a particular patient.
- FIG. 1 is a block diagram showing a computer system incorporating a secure database.
- FIG. 2 shows a skeleton model of the database.
- One embodiment of the invention will now be described by way of example with reference to the accompanying drawings. This consists of a hospital records system which stores information about patients and their treatments, and which can only be accessed by authorised users, such as doctors, nurses and administrators. However, it will be appreciated that the invention can also be used in other applications where there is a need to protect personal data. For example, the invention could also be used in an insurance company database for storing personal data about customers and details about their claims.
- Overall view of the system
- Referring to FIG. 1, this shows a distributed computer system comprising a
server 10 and a number ofclients 11, interconnected by anetwork 12. The server is a central hospital computer, and the clients are personal computers (PCs), located on individual users' desks. Theserver 10 runs adatabase application 13, which may be any database system; for example, it may be an Oracle database. Eachclient 11 runs aclient application 14, which enables an authorised user to communicate with the database, and to access data from it. - Referring to FIG. 2, the
database 13 holds a number of tables. Each of these tables has a primary key (indicated by “pk”), which uniquely identifies each record in the table. This primary key is a numeric figure, starting with 1 (one) for the first record written in the table and incremented by 1 (one) for each subsequent record inserted into that table. Some of the tables also include foreign keys (indicated by “fk”), which identify connections between the tables. - There are two groups of tables. The first group contains personal data about patients and users, and the data defining the periods of care. Only the data in this group is required in order to establish if a user is allowed to access the records for a particular patient. This group comprises the following tables:
- Patient Personal, non-medical data about individual patients, such as the patient's name, address and telephone number.
- User Information about authorised users of the system.
- The information includes such things as name, login name, and doctor's specialism.
- CarePeriod Information about which users are currently responsible for the care of individual patients.
- The second group of tables holds medical data. It consists of a large number of tables, each of which holds one and only one group of facts. Some examples of tables in this second group are as follows:
- Registration Information about registration of individual patients. There is one row in this table for each patient currently under active care.
- Appointment Information about appointments that have been arranged for individual patients.
- Medication Information about medication that has been prescribed for individual patients.
- PatientNote Free-text medical notes on individual patients.
- Each of the tables in this second group has a primary key which is in no way related to the primary keys of the patient or user. Therefore, even if a hacker manages to obtain access to one of these tables, it is not possible for the hacker to relate the medical data to a particular patient or user.
- To enable authorised users to relate the information in this second group of tables to the patients or users, the system uses so-called pseudo-identifiers (PIDs). The PIDs are stored in extra columns of the tables. The PID values are calculated from the patients' and users' primary keys, using a cryptographic algorithm. The cryptographic algorithm is available only on the clients; the algorithm is not recorded in the database, and so cannot be discovered by a hacker who gains access to the server. The algorithm uses a master encryption key, which is different for each hospital.
- The PID values are calculated using a different encryption protocol for each PID in each table. This is achieved by assigning a unique identifier number nr_PID to each PID in each table, and using this number as an input parameter for the cryptographic algorithm. In other words, the encryption algorithm for a particular PID uses the following three parameters:
- the primary key being encrypted,
- the hospital's master encryption key,
- the unique identifier number nr_PID for the PID.
- Thus, it is guaranteed that records relating to the same patient have different PID values in different tables, and records with the same PID in different tables do not relate to the same patient.
- For example, in the database of FIG. 2, unique identifier numbers nr_PID may be assigned to the PIDs as follows:
Table PID nr PID CarePeriod User 34 Registration Patient 47 Registration User 23 Appointment User 127 Medication User 18 PatientNote User 5 - Free-text columns in the database, such as in the PatientNote table, present a particular problem, since a user is free to put any text in these columns, and may therefore include the patient's name. This would be of great assistance to a hacker. This problem is overcome by storing such free text in encrypted form, using an encryption algorithm resident on the client.
- Login
- This section describes the operation of the system when a user logs in.
- The client application first prompts the user to enter his or her login name and password, and sends a login message to the database application. When the database application receives this message, it authenticates the user. Techniques for authentication of users are well known, and so will not be described in any further detail.
- Assuming that the user has been correctly authenticated, the database application then searches the User table, to find the record that matches the user's login name. From this record, the database application obtains the user's primary key.
- The client application then encrypts the user's primary key, using the appropriate nr_PID (34 for example) as a parameter, to generate a user PID value for accessing the CarePeriod table. The PID is sent to the database application.
- The database application then searches the CarePeriod table, to find all rows containing this PID. This identifies all the patients currently in the care of this particular user. The database application then uses the patient keys from these rows to access the corresponding rows of the Patient table. The patients' personal details are read from the Patient table, and are returned to the client application, where they are displayed to the user.
- Medication table
- This section describes the operation of the system when a user wishes to obtain details of a particular patient's medication. It is assumed that the user has logged in to the system and has obtained the patient's primary key as described above.
- The client application encrypts the patient's primary key, using the appropriate nr_PID (47 for example) as a parameter, so as to generate a patient PID value for accessing the Registration table. The patient PID is sent to the database application.
- The database application searches the Registration table to find the row that contains this patient PID value. It then uses the Registration key from this row to access the corresponding row in the Medication table. The medication record of the patient is then read from this row, and is returned to the client application, for displaying to the user.
- Appointment table
- This section describes the operation of the system when a user wishes to obtain details of a patient's appointments with a particular doctor. It is assumed that the user has logged in to the system and has obtained the patient's primary key as described above.
- The user primary key for the doctor is first read from a look-up table into the client application.
- The client application then encrypts the patient primary key, using the appropriate nr_PID (47 for example) as a parameter, so as to generate a patient PID value for accessing the Registration table. The client application also encrypts the user primary key, using the appropriate nr_PID (23 for example) as a parameter, so as to generate a user PID value for accessing the Registration table. The calculated PID values are sent to the database application.
- The database application then searches the Registration table, to find a row containing both of these PID values. It then uses the Registration primary key from this row to access the corresponding row in the Appointments table. Details of the appointment are then read from this row, and returned to the client application, for displaying to the user.
- PatientNote table
- This section describes the operation of the system when a user wishes to view a free-text note relating to a particular patient. It is assumed that the user has logged in to the system and has obtained the patient's primary key as described above.
- The client application first encrypts the patient primary key, using the appropriate nr_PID (47 for example) as a parameter, so as to generate a patient PID value for accessing the Registration table. The PID is sent to the database application.
- The database application then searches the Registration table, to find the row that contains this patient PID value. It then uses the Registration primary key from this row to access the corresponding row in the PatientNote table. This row contains the (encrypted) free-form text notes relating to the patient, and is returned to the client application. The client application then decrypts the notes, and displays them to the user.
- The user can also update the text, or create new text, using a conventional word processor. The client application encrypts this text, and sends it to the database application, for writing into the PatientNote table.
- Network encryption
- Preferably, all traffic over the
network 12 is encrypted, to protect it against eavesdropping. It should be noted that this encryption is additional to the encryption processes described above. Encryption techniques for networks are well known, and so will not be described in any further detail in this specification. - Some possible modifications
- It will be appreciated that many modifications may be made to the system described above without departing from the scope of the present invention. For example, instead of using the same encryption algorithm for all the tables, a different encryption algorithm may be used for each table.
- The login procedure may be enhanced with some sort of software for user authentication. This process will involve an extra database server. It is envisaged that the authentication process will, on a positive authentication, return the encryption key or keys to be used by the client application to calculate the required PIDs.
Claims (10)
1. A computer system comprising:
(a) a server having a database including at least one personal information table and at least one further table containing information relating to persons whose details are stored in the personal information table; and
(b) a plurality of clients, for accessing said database;
(c) said tables in said database having keys that are unrelated to each other, whereby it is impossible to determine solely from information in the server which record in said further table corresponds to which record in said personal information table; and
(d) each client including an encryption process for converting a personal identifier value, which identifies a record relating to a particular person in said personal information table, into a pseudo-identifier value, which identifies a record relating to the same person in said further table.
2. A computer system according to wherein said encryption process uses a different encryption protocol for each said pseudo-identifier value.
claim 1
3. A computer system according to wherein the encryption process uses the following parameters:
claim 2
the personal identifier value being encrypted,
an encryption key, and
a unique identifier number for the pseudo-identifier.
4. A computer system according to wherein the database includes at least one free text table containing free text information, and wherein said client includes means for encrypting text before writing it into said free text table and for decrypting text when read from said free text table.
claim 1
5. A computer system according to including means for encrypting information while in transit between said client and said server.
claim 1
6. A method of securely storing data in a database, comprising:
(a) storing in a server a database including at least one personal information table and at least one further table containing information relating to persons whose details are stored in the personal information table;
(b) providing said tables with keys that are unrelated to each other, whereby it is impossible to determine solely from information in the server which record in said further table corresponds to which record in said personal information table;
(c) operating a plurality of clients to access said database; and
(d) performing, in each said client, an encryption process which converts a personal identifier value, identifying a record relating to a particular person in said personal information table, into a pseudo-identifier value, which identifies a record relating to the same person in said further table.
7. A method according to wherein a different encryption protocol is used for each said pseudo-identifier value.
claim 6
8. A method according to wherein said encryption process uses the following parameters:
claim 7
the personal identifier value being encrypted,
an encryption key, and
a unique identifier number for the pseudo-identifier.
9. A method according to wherein said database includes at least one free text table containing free text information, and wherein each said client encrypts text before writing it into said free text table and decrypts text when read from said free text table.
claim 6
10. A method according to wherein information is encrypted while in transit between said client and said server.
claim 6
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GBGB9712459.8A GB9712459D0 (en) | 1997-06-14 | 1997-06-14 | Secure database system |
GB9712459.8 | 1997-06-14 | ||
GB9712459 | 1997-06-14 |
Publications (2)
Publication Number | Publication Date |
---|---|
US20010054142A1 true US20010054142A1 (en) | 2001-12-20 |
US6360324B2 US6360324B2 (en) | 2002-03-19 |
Family
ID=10814200
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/079,117 Expired - Lifetime US6360324B2 (en) | 1997-06-14 | 1998-05-14 | Secure database system |
Country Status (4)
Country | Link |
---|---|
US (1) | US6360324B2 (en) |
EP (1) | EP0884670B1 (en) |
DE (1) | DE69804539T2 (en) |
GB (1) | GB9712459D0 (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030055824A1 (en) * | 2001-09-19 | 2003-03-20 | Andrea Califano | Distributed personalized genetic safe |
US20090070434A1 (en) * | 1999-07-15 | 2009-03-12 | Himmelstein Richard B | System and method for efficiently accessing internet resources |
US20090300140A1 (en) * | 1999-07-15 | 2009-12-03 | Himmelstein Richard B | System and Method for Efficiently Accessing Internet Resources |
US20100251354A1 (en) * | 2009-03-24 | 2010-09-30 | Kyocera Mita Corporation | Image forming apparatus and image forming system |
US20130246813A1 (en) * | 2011-11-11 | 2013-09-19 | Nec Corporation | Database encryption system, method, and program |
US20140372320A1 (en) * | 2013-06-17 | 2014-12-18 | Sivanne Goldfarb | Systems and methods for emv chip and pin payments |
US10284535B2 (en) * | 2016-12-13 | 2019-05-07 | Chronicle Llc | Secure database |
US20190392059A1 (en) * | 2018-06-22 | 2019-12-26 | Rubrik Inc. | Data discovery in relational databases |
Families Citing this family (47)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1026603A3 (en) * | 1999-02-02 | 2002-01-30 | SmithKline Beecham Corporation | Apparatus and method for depersonalizing information |
US6654724B1 (en) * | 1999-02-12 | 2003-11-25 | Adheris, Inc. | System for processing pharmaceutical data while maintaining patient confidentially |
GB9920644D0 (en) * | 1999-09-02 | 1999-11-03 | Medical Data Service Gmbh | Novel method |
US8473452B1 (en) | 1999-09-20 | 2013-06-25 | Ims Health Incorporated | System and method for analyzing de-identified health care data |
US7093137B1 (en) * | 1999-09-30 | 2006-08-15 | Casio Computer Co., Ltd. | Database management apparatus and encrypting/decrypting system |
AU7780700A (en) * | 1999-10-01 | 2001-05-10 | Glaxo Group Limited | Remote patient assessment system |
US6449621B1 (en) * | 1999-11-03 | 2002-09-10 | Ford Global Technologies, Inc. | Privacy data escrow system and method |
US6397224B1 (en) * | 1999-12-10 | 2002-05-28 | Gordon W. Romney | Anonymously linking a plurality of data records |
GB2366051B (en) * | 2000-05-02 | 2005-01-05 | Ibm | Method, system and program product for private data access or use based on related public data |
US6874085B1 (en) * | 2000-05-15 | 2005-03-29 | Imedica Corp. | Medical records data security system |
ATE283516T1 (en) * | 2000-09-04 | 2004-12-15 | Enigma Health Uk Plc | IMPROVEMENTS IN DATA MANAGEMENT SYSTEMS |
US7362868B2 (en) * | 2000-10-20 | 2008-04-22 | Eruces, Inc. | Hidden link dynamic key manager for use in computer systems with database structure for storage of encrypted data and method for storage and retrieval of encrypted data |
US20030021417A1 (en) | 2000-10-20 | 2003-01-30 | Ognjen Vasic | Hidden link dynamic key manager for use in computer systems with database structure for storage of encrypted data and method for storage and retrieval of encrypted data |
DE10105206B4 (en) * | 2001-01-30 | 2011-12-15 | UNISERV GmbH für Unternehmensberatung, Softwareentwicklung und Datenverarbeitung | Data processing system and method for managing data bases of a user organized in at least one database |
US6795554B2 (en) * | 2001-04-05 | 2004-09-21 | Inner Vision Imaging, Llc | Method of transmitting medical information over a network |
US20030033168A1 (en) * | 2001-04-13 | 2003-02-13 | Andrea Califano | Methods and systems for managing informed consent processes |
US20030039362A1 (en) * | 2001-08-24 | 2003-02-27 | Andrea Califano | Methods for indexing and storing genetic data |
FI20020808A (en) * | 2002-04-29 | 2003-10-30 | Mediweb Oy | Saving sensitive data |
GB0216831D0 (en) | 2002-07-19 | 2002-08-28 | Glaxo Group Ltd | Medicament dispenser |
US7958144B2 (en) | 2002-08-30 | 2011-06-07 | Boss Logic, Llc | System and method for secure reciprocal exchange of data |
GB0222896D0 (en) * | 2002-10-03 | 2002-11-13 | Avoca Systems Ltd | Method of and apparatus for transferring data |
FI116170B (en) * | 2003-04-11 | 2005-09-30 | Jouko Kronholm | Method of conveying return information from a feedback system, as well as data transmission system |
US20070282870A1 (en) * | 2004-05-28 | 2007-12-06 | Koninklijke Philips Electronics, N.V. | Method Of And Device For Querying Of Protected Structured Data |
US7681042B2 (en) | 2004-06-17 | 2010-03-16 | Eruces, Inc. | System and method for dis-identifying sensitive information and associated records |
US7797342B2 (en) * | 2004-09-03 | 2010-09-14 | Sybase, Inc. | Database system providing encrypted column support for applications |
US7743069B2 (en) * | 2004-09-03 | 2010-06-22 | Sybase, Inc. | Database system providing SQL extensions for automated encryption and decryption of column data |
KR100639993B1 (en) | 2004-12-07 | 2006-10-31 | 한국전자통신연구원 | Method and system for updating of user identifier |
WO2006062289A1 (en) * | 2004-12-07 | 2006-06-15 | Electronics And Telecommunications Research Institute | System and method for updating user identifiers (ids) |
FR2881248A1 (en) * | 2005-01-26 | 2006-07-28 | France Telecom | Personal medical data management system for insured patient, has computing subsystem with units to generate common key from identification data of person, and another subsystem with database associating sensitive personal data to key |
SE0500541L (en) * | 2005-03-08 | 2006-09-09 | Inator Kb | Authorization system and method |
US7522751B2 (en) | 2005-04-22 | 2009-04-21 | Daon Holdings Limited | System and method for protecting the privacy and security of stored biometric data |
DE602005018548D1 (en) * | 2005-04-22 | 2010-02-04 | Daon Holdings Ltd | SYSTEM AND PROCEDURE FOR PRIVACY PROTECTION U |
US8135948B2 (en) * | 2006-01-27 | 2012-03-13 | Imperva, Inc. | Method and system for transparently encrypting sensitive information |
US7761384B2 (en) * | 2006-03-16 | 2010-07-20 | Sushil Madhogarhia | Strategy-driven methodology for reducing identity theft |
US8396804B1 (en) | 2006-07-19 | 2013-03-12 | Mvisum, Inc. | System for remote review of clinical data |
US7974924B2 (en) | 2006-07-19 | 2011-07-05 | Mvisum, Inc. | Medical data encryption for communication over a vulnerable system |
US8380631B2 (en) | 2006-07-19 | 2013-02-19 | Mvisum, Inc. | Communication of emergency medical data over a vulnerable system |
US9355273B2 (en) | 2006-12-18 | 2016-05-31 | Bank Of America, N.A., As Collateral Agent | System and method for the protection and de-identification of health care data |
US9158933B2 (en) * | 2007-08-17 | 2015-10-13 | Sybase, Inc. | Protection of encryption keys in a database |
JP4640410B2 (en) * | 2007-12-25 | 2011-03-02 | カシオ計算機株式会社 | Database management apparatus and recording medium |
US7522723B1 (en) | 2008-05-29 | 2009-04-21 | Cheman Shaik | Password self encryption method and system and encryption by keys generated from personal secret information |
EP2166484A1 (en) * | 2008-09-19 | 2010-03-24 | SCP Asclépios | Method of accessing personal information, such as a personalised medical record, using a local generation agent |
US8213589B1 (en) | 2011-12-15 | 2012-07-03 | Protect My Database, Inc. | Data security seeding system |
US9367684B2 (en) | 2011-12-15 | 2016-06-14 | Realsource, Inc. | Data security seeding system |
CN108319862B (en) * | 2017-01-16 | 2022-05-17 | 阿里云计算有限公司 | Data file processing method and device |
US10842897B2 (en) | 2017-01-20 | 2020-11-24 | Éclair Medical Systems, Inc. | Disinfecting articles with ozone |
US20200356559A1 (en) | 2019-05-08 | 2020-11-12 | Datameer, Inc. | Query Combination In A Hybrid Multi-Cloud Database Environment |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5191611A (en) * | 1989-04-03 | 1993-03-02 | Lang Gerald S | Method and apparatus for protecting material on storage media and for transferring material on storage media to various recipients |
US5163097A (en) * | 1991-08-07 | 1992-11-10 | Dynamicserve, Ltd. | Method and apparatus for providing secure access to a limited access system |
SE501128C2 (en) * | 1993-11-30 | 1994-11-21 | Anonymity Prot In Sweden Ab | Device and method for storing data information |
US6029160A (en) * | 1995-05-24 | 2000-02-22 | International Business Machines Corporation | Method and means for linking a database system with a system for filing data |
US5956400A (en) * | 1996-07-19 | 1999-09-21 | Digicash Incorporated | Partitioned information storage systems with controlled retrieval |
DE69735486T2 (en) * | 1996-07-22 | 2006-12-14 | Cyva Research Corp., San Diego | TOOL FOR SAFETY AND EXTRACTION OF PERSONAL DATA |
US5924094A (en) * | 1996-11-01 | 1999-07-13 | Current Network Technologies Corporation | Independent distributed database system |
-
1997
- 1997-06-14 GB GBGB9712459.8A patent/GB9712459D0/en active Pending
-
1998
- 1998-05-06 DE DE69804539T patent/DE69804539T2/en not_active Expired - Lifetime
- 1998-05-06 EP EP98303558A patent/EP0884670B1/en not_active Expired - Lifetime
- 1998-05-14 US US09/079,117 patent/US6360324B2/en not_active Expired - Lifetime
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9607041B2 (en) * | 1999-07-15 | 2017-03-28 | Gula Consulting Limited Liability Company | System and method for efficiently accessing internet resources |
US20090070434A1 (en) * | 1999-07-15 | 2009-03-12 | Himmelstein Richard B | System and method for efficiently accessing internet resources |
US20090300140A1 (en) * | 1999-07-15 | 2009-12-03 | Himmelstein Richard B | System and Method for Efficiently Accessing Internet Resources |
US8645552B2 (en) | 1999-07-15 | 2014-02-04 | Axp Research Limited Liability Company | System and method for efficiently accessing internet resources |
US10158640B2 (en) | 1999-07-15 | 2018-12-18 | Gula Consulting Limited Liability Company | System and method for efficiently accessing internet resources |
US20030055824A1 (en) * | 2001-09-19 | 2003-03-20 | Andrea Califano | Distributed personalized genetic safe |
US20100251354A1 (en) * | 2009-03-24 | 2010-09-30 | Kyocera Mita Corporation | Image forming apparatus and image forming system |
US8799995B2 (en) * | 2009-03-24 | 2014-08-05 | Kyocera Document Solutions Inc. | Image forming method |
US20130246813A1 (en) * | 2011-11-11 | 2013-09-19 | Nec Corporation | Database encryption system, method, and program |
US20150006908A1 (en) * | 2011-11-11 | 2015-01-01 | Nec Corporation | Database encryption system, method, and program |
US9349023B2 (en) * | 2011-11-11 | 2016-05-24 | Nec Corporation | Database encryption system, method, and program |
US8812877B2 (en) * | 2011-11-11 | 2014-08-19 | Nec Corporation | Database encryption system, method, and program |
US20140372320A1 (en) * | 2013-06-17 | 2014-12-18 | Sivanne Goldfarb | Systems and methods for emv chip and pin payments |
US10535066B2 (en) * | 2013-06-17 | 2020-01-14 | Paypal, Inc. | Systems and methods for securing pins during EMV chip and pin payments |
US10284535B2 (en) * | 2016-12-13 | 2019-05-07 | Chronicle Llc | Secure database |
US20190392059A1 (en) * | 2018-06-22 | 2019-12-26 | Rubrik Inc. | Data discovery in relational databases |
US11314713B2 (en) * | 2018-06-22 | 2022-04-26 | Rubrik, Inc. | Data discovery in relational databases |
US11762833B2 (en) | 2018-06-22 | 2023-09-19 | Rubrik, Inc. | Data discovery of personal data in relational databases |
Also Published As
Publication number | Publication date |
---|---|
EP0884670A1 (en) | 1998-12-16 |
US6360324B2 (en) | 2002-03-19 |
DE69804539T2 (en) | 2002-09-26 |
GB9712459D0 (en) | 1997-08-20 |
EP0884670B1 (en) | 2002-04-03 |
DE69804539D1 (en) | 2002-05-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6360324B2 (en) | Secure database system | |
US6131090A (en) | Method and system for providing controlled access to information stored on a portable recording medium | |
US6336121B1 (en) | Method and apparatus for securing and accessing data elements within a database | |
US20030039362A1 (en) | Methods for indexing and storing genetic data | |
US6789195B1 (en) | Secure data processing method | |
US7392536B2 (en) | System and method for unified sign-on | |
CN1175358C (en) | Secure database manugement system for confidential records | |
US7362868B2 (en) | Hidden link dynamic key manager for use in computer systems with database structure for storage of encrypted data and method for storage and retrieval of encrypted data | |
TWI388183B (en) | System and method for dis-identifying sensitive information and associated records | |
CN1833398B (en) | Secure data parser method and system | |
EP2731043B1 (en) | Computer system for storing and retrieval of encrypted data items, client computer, computer program product and computer-implemented method | |
US5734718A (en) | NIS+ password update protocol | |
US20200259637A1 (en) | Management and distribution of keys in distributed environments | |
CA2345688A1 (en) | Automatic recovery of forgotten passwords | |
EP0894377A1 (en) | A method for providing a secure non-reusable one-time password | |
JP2005505863A (en) | Data processing system for patient data | |
US8352999B1 (en) | Method for managing data in a shared computing environment | |
US20070118733A1 (en) | Secure synchronization and sharing of secrets | |
US20070180259A1 (en) | Secure Personal Medical Process | |
WO2012092172A1 (en) | Tokenization of multiple-field records | |
US11405200B1 (en) | Multilevel split keys for wallet recovery | |
JP2003527035A (en) | Automatic identification protection system with remote third party monitoring | |
US20020147917A1 (en) | Distribution of secured information | |
JPH10111897A (en) | Clinical consultation information sharing method | |
JP2002111659A (en) | File encryption system, file encryption program and storage medium having recorded data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: INTERNATIONAL COMPUTERS LIMITED, ENGLAND Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:VAN BLARKOM, GILLES WILLEM;REEL/FRAME:009345/0986 Effective date: 19980626 |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
FPAY | Fee payment |
Year of fee payment: 4 |
|
FEPP | Fee payment procedure |
Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
FPAY | Fee payment |
Year of fee payment: 8 |
|
FPAY | Fee payment |
Year of fee payment: 12 |