CN106789879A - Deep learning personal information management system based on vast capacity FPGA - Google Patents
Deep learning personal information management system based on vast capacity FPGA Download PDFInfo
- Publication number
- CN106789879A CN106789879A CN201611014875.2A CN201611014875A CN106789879A CN 106789879 A CN106789879 A CN 106789879A CN 201611014875 A CN201611014875 A CN 201611014875A CN 106789879 A CN106789879 A CN 106789879A
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- China
- Prior art keywords
- information
- fpga
- user terminal
- memory module
- deep learning
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- 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.)
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
-
- 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
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
Abstract
The invention discloses the deep learning personal information management system based on vast capacity FPGA, including：APP information receiving modules, for user terminal record information to be transmitted to FPGA deep learnings module and memory module；Memory module, for stored record information and privacy information；FPGA deep learning modules, record information for receiving the input of APP information receiving modules, filter out the privacy information in record information, privacy information is stored in memory module, when user terminal needs to carry out authentication, server communicates with FPGA deep learning modules, and FPGA deep learnings module proposes Authentication Questions at random according to the privacy information being stored in the memory module, and is sent to user terminal Authentication Questions by server.The present invention can be that the fund security of user provides safeguard in the case where the mobile phone of user terminal is obtained by people or mobile phone card information is replicated.
Description
Technical field
The present invention relates to personal information management technical field, the deep learning of vast capacity FPGA is more specifically based on
Personal information management system.
Background technology
With developing rapidly for electronic industry, this kind of product for carrying a large amount of personal information of such as mobile phone has penetrated into life
Each corner living, also brings many potential threats while being offered convenience to us.
Mobile-phone payment is now very universal, and its range of application is also quite varied, for example, for mobile phones such as Alipay, wechats
Client pays, and present payment verification link generally uses point-to-point verification mode, i.e. client to determine to place an order, and message is passed
To the public cloud of server, server end retransmits a string of identifying codes, allows client to be input into, it is ensured that server end is by client
End request can only so ensure the security of server rather than being attacked, and the personal security of client cannot but ensure.One
The personal mobile phone of denier loses or Mobile phone card is replicated, and many important personal information will be completely exposed, even personal money
Product is seriously threatened.Therefore need a kind of a kind of new technical scheme of offer to give to solve.
The content of the invention
The present invention is to avoid the weak point existing for above-mentioned prior art, there is provided the depth based on vast capacity FPGA
Study personal information management system.
The technical proposal for solving the technical problem of the invention is：
Deep learning personal information management system based on vast capacity FPGA, including：
APP information receiving modules, for user terminal record information to be transmitted to FPGA deep learnings module and memory module；
Memory module, for stored record information and privacy information；
FPGA deep learning modules, the record information for receiving the input of APP information receiving modules, filter out record information
In privacy information, privacy information is stored in memory module, when user terminal needs to carry out authentication, server with
FPGA deep learnings module is communicated, and FPGA deep learnings module is carried at random according to the privacy information being stored in the memory module
Go out Authentication Questions, and sent to user terminal Authentication Questions by server.
Further, after the user terminal completes authentication, server by authentication result be stored in storage mould
Privacy information in block is compared, and as a result correct to be proved to be successful, as a result mistake is authentication failed.
Further, the APP information receiving modules are communicated with the APP of user terminal.
Operation principle of the invention is：
User terminal APP passes through APP information receiving modules to memory module and FPGA deep learning module transfer record informations,
And continuously all record informations deliver to memory module storage, FPGA deep learnings module can constantly in record information
In filter out the privacy informations such as personal habits, hobby and the scope of activities of user, so when user terminal needs checking message
When, the deep learning personal information management system based on vast capacity FPGA communicates with server end, is then sent out to user terminal again
Send certificate message, after user terminal completes authentication, server by authentication result be stored in memory module
Privacy information is compared, and as a result correct to be proved to be successful, as a result mistake is authentication failed.
Compared with prior art, beneficial effects of the present invention are embodied in：
Different from traditional information authentication, the deep learning personal information management system based on vast capacity FPGA is by depositing
Storage privacy information in a storage module proposes Authentication Questions at random, then by server by Authentication Questions send to
User terminal, accordingly even when the mobile phone of user terminal is obtained by people or mobile phone card information is replicated, the user terminal such as mobile phone is user
One is logined instrument, it is impossible to decode certificate message, it is ensured that the fund security of user.
Brief description of the drawings
Fig. 1 is the structural representation of deep learning personal information management system of the present invention based on vast capacity FPGA.
Specific embodiment
Referring to Fig. 1, the deep learning personal information management system based on vast capacity FPGA, including：
APP information receiving modules, for user terminal record information to be transmitted to FPGA deep learnings module and memory module；
Memory module, for stored record information and privacy information；
FPGA deep learning modules, for receiving APP information receiving modules input information, filter out hidden in record information
Personal letter is ceased, and privacy information is stored in memory module, when user terminal needs to carry out authentication, server and FPGA depth
Study module communicates, and FPGA deep learnings module proposes that identity is tested at random according to the privacy information being stored in the memory module
Card problem, and sent to user terminal Authentication Questions by server.
After the user terminal completes authentication, server is by authentication result and the privacy being stored in memory module
Information is compared, and as a result correct to be proved to be successful, as a result mistake is authentication failed.
The APP information receiving modules are communicated with the APP of user terminal.
The deep learning personal information management system based on vast capacity FPGA that the present invention is provided passes through such a way
Work：User terminal APP passes through APP information receiving modules to memory module and FPGA deep learning module transfer record informations, and
All record informations are continuously delivered to memory module storage, FPGA deep learnings module can constantly in record information
The privacy informations such as personal habits, hobby and the scope of activities of user are filtered out, so when user terminal needs checking message
When, the deep learning personal information management system based on vast capacity FPGA communicates with server end, is then sent out to user terminal again
Send certificate message, after user terminal completes authentication, server by authentication result be stored in memory module
Privacy information is compared, and as a result correct to be proved to be successful, as a result mistake is authentication failed.
Technical solution of the present invention is exemplarily described above in conjunction with accompanying drawing to the present invention, it is clear that the present invention is specific real
Now it is not subject to the restrictions described above, as long as employing the various unsubstantialities that method of the present invention design and technical scheme are carried out
Improve, or it is not improved the design of invention and technical scheme are directly applied into other occasions, in protection model of the invention
Within enclosing.
Claims (3)
1. the deep learning personal information management system of vast capacity FPGA is based on, including：
APP information receiving modules, for user terminal record information to be transmitted to FPGA deep learnings module and memory module；
Memory module, for stored record information and privacy information；
FPGA deep learning modules, the record information for receiving the input of APP information receiving modules, in filtering out record information
Privacy information, privacy information is stored in memory module, when user terminal needs to carry out authentication, server and FPGA depths
Degree study module communication, FPGA deep learnings module proposes identity at random according to the privacy information being stored in the memory module
Validation problem, and sent to user terminal Authentication Questions by server.
2. the deep learning personal information management system based on vast capacity FPGA according to claim 1, its feature exists
In：After the user terminal completes authentication, server is by authentication result and the privacy information being stored in memory module
Compare, as a result correct to be proved to be successful, as a result mistake is authentication failed.
3. the deep learning personal information management system based on vast capacity FPGA according to claim 1, its feature exists
In：The APP information receiving modules are communicated with the APP of user terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611014875.2A CN106789879A (en) | 2016-11-18 | 2016-11-18 | Deep learning personal information management system based on vast capacity FPGA |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611014875.2A CN106789879A (en) | 2016-11-18 | 2016-11-18 | Deep learning personal information management system based on vast capacity FPGA |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106789879A true CN106789879A (en) | 2017-05-31 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611014875.2A Pending CN106789879A (en) | 2016-11-18 | 2016-11-18 | Deep learning personal information management system based on vast capacity FPGA |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101887499A (en) * | 2010-07-08 | 2010-11-17 | 北京九合创胜网络科技有限公司 | User identity management method and system |
| US7899674B1 (en) * | 2006-08-11 | 2011-03-01 | The United States Of America As Represented By The Secretary Of The Navy | GUI for the semantic normalization of natural language |
| CN103455763A (en) * | 2013-07-29 | 2013-12-18 | 北京盛世光明软件股份有限公司 | Internet surfing log recording system and method capable of protecting personal privacies of users |
| CN103533546A (en) * | 2013-10-29 | 2014-01-22 | 无锡赛思汇智科技有限公司 | Implicit user verification and privacy protection method based on multi-dimensional behavior characteristics |
-
2016
- 2016-11-18 CN CN201611014875.2A patent/CN106789879A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7899674B1 (en) * | 2006-08-11 | 2011-03-01 | The United States Of America As Represented By The Secretary Of The Navy | GUI for the semantic normalization of natural language |
| CN101887499A (en) * | 2010-07-08 | 2010-11-17 | 北京九合创胜网络科技有限公司 | User identity management method and system |
| CN103455763A (en) * | 2013-07-29 | 2013-12-18 | 北京盛世光明软件股份有限公司 | Internet surfing log recording system and method capable of protecting personal privacies of users |
| CN103533546A (en) * | 2013-10-29 | 2014-01-22 | 无锡赛思汇智科技有限公司 | Implicit user verification and privacy protection method based on multi-dimensional behavior characteristics |
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Application publication date: 20170531 |