IN2014MU00871A - - Google Patents

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Publication number
IN2014MU00871A
IN2014MU00871A IN871MU2014A IN2014MU00871A IN 2014MU00871 A IN2014MU00871 A IN 2014MU00871A IN 871MU2014 A IN871MU2014 A IN 871MU2014A IN 2014MU00871 A IN2014MU00871 A IN 2014MU00871A
Authority
IN
India
Prior art keywords
time
data
series data
distribution
detecting
Prior art date
Application number
Inventor
Arijit Ukil
Soma Bandyopadhyay
Arpan Pal
Original Assignee
Tata Consultancy Services Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Priority to IN871MU2014 priority Critical patent/IN2014MU00871A/en
Priority to US14/618,280 priority patent/US10268836B2/en
Priority to EP15156007.5A priority patent/EP2918976B1/en
Publication of IN2014MU00871A publication Critical patent/IN2014MU00871A/en

Links

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
    • 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
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D4/00—Tariff metering apparatus
    • G01D4/002—Remote reading of utility meters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2209/00—Additional information or applications relating to cryptographic mechanisms or cryptographic arrangements for secret or secure communication H04L9/00
    • H04L2209/04—Masking or blinding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2209/00—Additional information or applications relating to cryptographic mechanisms or cryptographic arrangements for secret or secure communication H04L9/00
    • H04L2209/42—Anonymization, e.g. involving pseudonyms
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/30—Smart metering, e.g. specially adapted for remote reading
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

A system and method for detecting sensitivity content in time-series data is disclosed. The method comprises receiving the time-series data from a source. The data is received for one or more instances. The method further comprises detecting the sensitivity content in the time-series data. The sensitivity content indicates presence of an anomaly. The detecting comprises determining a kurtosis value corresponding to the time-series data. The detecting further comprises comparing the kurtosis value with a reference value. The detecting further comprises processing the data using a first filtering means or a second filtering means. The first filtering means is used when the data distribution of the time-series data is either of a platykurtic distribution or a mesokurtic distribution. The second filtering means is used when the data distribution of the time-series data is a leptokurtic distribution.
IN871MU2014 2014-03-14 2014-03-14 IN2014MU00871A (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
IN871MU2014 IN2014MU00871A (en) 2014-03-14 2014-03-14
US14/618,280 US10268836B2 (en) 2014-03-14 2015-02-10 System and method for detecting sensitivity content in time-series data
EP15156007.5A EP2918976B1 (en) 2014-03-14 2015-02-20 Smart meter Privacy Analyzer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN871MU2014 IN2014MU00871A (en) 2014-03-14 2014-03-14

Publications (1)

Publication Number Publication Date
IN2014MU00871A true IN2014MU00871A (en) 2015-09-25

Family

ID=52629370

Family Applications (1)

Application Number Title Priority Date Filing Date
IN871MU2014 IN2014MU00871A (en) 2014-03-14 2014-03-14

Country Status (3)

Country Link
US (1) US10268836B2 (en)
EP (1) EP2918976B1 (en)
IN (1) IN2014MU00871A (en)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10225308B1 (en) * 2015-02-12 2019-03-05 Cloud & Stream Gears Llc Decremental Z-score calculation for big data or streamed data using components
EP3107000A3 (en) * 2015-06-17 2016-12-28 Tata Consultancy Services Limited System and method for detecting outliers in real-time for a univariate time-series signal
US10510126B2 (en) 2015-10-30 2019-12-17 Global Design Corporation Ltd. Energy consumption alerting system, platform and method
US10600307B2 (en) * 2015-10-30 2020-03-24 Global Design Corporation Ltd. Energy consumption alerting method, energy consumption alerting system and platform
US10515308B2 (en) 2015-10-30 2019-12-24 Global Design Corporation Ltd. System, method and cloud-based platform for predicting energy consumption
US20200257608A1 (en) * 2015-11-19 2020-08-13 Siemens Aktiengesellschaft Anomaly detection in multiple correlated sensors
EP3436985A1 (en) * 2016-03-31 2019-02-06 Schneider Electric USA, Inc. Semantic search systems and methods for a distributed data system
US10571290B2 (en) * 2016-07-15 2020-02-25 Tata Consultancy Services Limited Method and system for vehicle speed profile generation
US10545817B2 (en) * 2017-08-28 2020-01-28 Ca, Inc. Detecting computer system anomaly events based on modified Z-scores generated for a window of performance metrics

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0829811A1 (en) * 1996-09-11 1998-03-18 Nippon Telegraph And Telephone Corporation Method and system for information retrieval
US6882912B2 (en) * 2002-03-19 2005-04-19 Ford Global Technologies, Llc Real time stamping synchronization system
US7706852B2 (en) 2006-01-30 2010-04-27 Nellcor Puritan Bennett Llc System and method for detection of unstable oxygen saturation
US10079839B1 (en) * 2007-06-12 2018-09-18 Icontrol Networks, Inc. Activation of gateway device
EP1993053A1 (en) 2007-03-20 2008-11-19 British Telecommunications Public Limited Company Detecting abnormal events
EP2665410B1 (en) 2011-01-21 2017-08-30 Worcester Polytechnic Institute Physiological parameter monitoring with a mobile communication device
WO2013072930A2 (en) * 2011-09-28 2013-05-23 Tata Consultancy Services Limited System and method for database privacy protection

Also Published As

Publication number Publication date
EP2918976B1 (en) 2020-04-01
EP2918976A1 (en) 2015-09-16
US20150261963A1 (en) 2015-09-17
US10268836B2 (en) 2019-04-23

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