SG11201907140UA - Multi-signal analysis for compromised scope identification - Google Patents

Multi-signal analysis for compromised scope identification

Info

Publication number
SG11201907140UA
SG11201907140UA SG11201907140UA SG11201907140UA SG11201907140UA SG 11201907140U A SG11201907140U A SG 11201907140UA SG 11201907140U A SG11201907140U A SG 11201907140UA SG 11201907140U A SG11201907140U A SG 11201907140UA SG 11201907140U A SG11201907140U A SG 11201907140UA
Authority
SG
Singapore
Prior art keywords
microsoft
llc
international
redmond
washington
Prior art date
Application number
SG11201907140UA
Other languages
English (en)
Inventor
Pengcheng Luo
Reeves Hoppe Briggs
Art Sadovsky
Naveed Ahmad
Original Assignee
Microsoft Technology Licensing Llc
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 Microsoft Technology Licensing Llc filed Critical Microsoft Technology Licensing Llc
Publication of SG11201907140UA publication Critical patent/SG11201907140UA/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425Traffic logging, e.g. anomaly detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55Detecting local intrusion or implementing counter-measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55Detecting local intrusion or implementing counter-measures
    • G06F21/552Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/14Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2463/00Additional details relating to network architectures or network communication protocols for network security covered by H04L63/00
    • H04L2463/121Timestamp

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Computer Hardware Design (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Debugging And Monitoring (AREA)
  • Measurement Of Resistance Or Impedance (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Time-Division Multiplex Systems (AREA)
  • Measurement Of Current Or Voltage (AREA)
  • Storage Device Security (AREA)
SG11201907140UA 2017-02-13 2018-02-12 Multi-signal analysis for compromised scope identification SG11201907140UA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/431,391 US10491616B2 (en) 2017-02-13 2017-02-13 Multi-signal analysis for compromised scope identification
PCT/US2018/017817 WO2018148657A1 (en) 2017-02-13 2018-02-12 Multi-signal analysis for compromised scope identification

Publications (1)

Publication Number Publication Date
SG11201907140UA true SG11201907140UA (en) 2019-09-27

Family

ID=61386917

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201907140UA SG11201907140UA (en) 2017-02-13 2018-02-12 Multi-signal analysis for compromised scope identification

Country Status (18)

Country Link
US (2) US10491616B2 (ko)
EP (1) EP3552138B1 (ko)
JP (1) JP7108365B2 (ko)
KR (1) KR102433425B1 (ko)
CN (1) CN110366727B (ko)
AU (1) AU2018219369B2 (ko)
BR (1) BR112019014366A2 (ko)
CA (1) CA3050321A1 (ko)
CL (1) CL2019002189A1 (ko)
CO (1) CO2019008341A2 (ko)
IL (1) IL268231B (ko)
MX (1) MX2019009505A (ko)
NZ (1) NZ755115A (ko)
PH (1) PH12019550134A1 (ko)
RU (1) RU2768562C2 (ko)
SG (1) SG11201907140UA (ko)
WO (1) WO2018148657A1 (ko)
ZA (1) ZA201904963B (ko)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10713442B1 (en) 2017-02-17 2020-07-14 Narrative Science Inc. Applied artificial intelligence technology for interactive story editing to support natural language generation (NLG)
US10943069B1 (en) 2017-02-17 2021-03-09 Narrative Science Inc. Applied artificial intelligence technology for narrative generation based on a conditional outcome framework
US20190038934A1 (en) * 2017-08-03 2019-02-07 International Business Machines Corporation Cognitive advisory system of structured assessments through iot sensors
US11042713B1 (en) * 2018-06-28 2021-06-22 Narrative Scienc Inc. Applied artificial intelligence technology for using natural language processing to train a natural language generation system
US11012421B2 (en) 2018-08-28 2021-05-18 Box, Inc. Predicting user-file interactions
KR102049829B1 (ko) * 2018-12-05 2019-11-28 주식회사 뷰노 피검체의 위험도를 평가하여 상기 위험도에 따라 상기 피검체를 분류하는 방법 및 이를 이용한 장치
US11487873B2 (en) * 2019-01-22 2022-11-01 EMC IP Holding Company LLC Risk score generation utilizing monitored behavior and predicted impact of compromise
EP3963519A1 (en) * 2019-04-29 2022-03-09 JPMorgan Chase Bank, N.A. Systems and methods for data-driven infrastructure controls
US11799890B2 (en) * 2019-10-01 2023-10-24 Box, Inc. Detecting anomalous downloads
US11449548B2 (en) 2019-11-27 2022-09-20 Elasticsearch B.V. Systems and methods for enriching documents for indexing
US11768945B2 (en) * 2020-04-07 2023-09-26 Allstate Insurance Company Machine learning system for determining a security vulnerability in computer software
US12058148B2 (en) * 2020-05-01 2024-08-06 Amazon Technologies, Inc. Distributed threat sensor analysis and correlation
US12041094B2 (en) 2020-05-01 2024-07-16 Amazon Technologies, Inc. Threat sensor deployment and management
US11704185B2 (en) * 2020-07-14 2023-07-18 Microsoft Technology Licensing, Llc Machine learning-based techniques for providing focus to problematic compute resources represented via a dependency graph
CN112700060B (zh) * 2021-01-08 2023-06-13 佳源科技股份有限公司 站所终端负荷预测方法和预测装置
US11902330B1 (en) * 2021-06-16 2024-02-13 Juniper Networks, Inc. Generating a network security policy based on a user identity associated with malicious behavior
WO2022269786A1 (ja) * 2021-06-23 2022-12-29 日本電信電話株式会社 通信データ識別装置およびその方法
US20230099241A1 (en) * 2021-09-27 2023-03-30 Bank Of America Corporation Systems and methods for identifying malicious events using deviations in user activity for enhanced network and data security

Family Cites Families (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2003223379A1 (en) * 2002-03-29 2003-10-13 Global Dataguard, Inc. Adaptive behavioral intrusion detection systems and methods
US7784099B2 (en) * 2005-02-18 2010-08-24 Pace University System for intrusion detection and vulnerability assessment in a computer network using simulation and machine learning
US8122122B1 (en) * 2005-11-08 2012-02-21 Raytheon Oakley Systems, Inc. Event monitoring and collection
US8490194B2 (en) * 2006-01-31 2013-07-16 Robert Moskovitch Method and system for detecting malicious behavioral patterns in a computer, using machine learning
US7739082B2 (en) * 2006-06-08 2010-06-15 Battelle Memorial Institute System and method for anomaly detection
US7908660B2 (en) * 2007-02-06 2011-03-15 Microsoft Corporation Dynamic risk management
US20080295172A1 (en) * 2007-05-22 2008-11-27 Khushboo Bohacek Method, system and computer-readable media for reducing undesired intrusion alarms in electronic communications systems and networks
JP5046836B2 (ja) * 2007-10-02 2012-10-10 Kddi株式会社 不正検知装置、プログラム、および記録媒体
US8321938B2 (en) 2009-02-12 2012-11-27 Raytheon Bbn Technologies Corp. Multi-tiered scalable network monitoring
CN101547129B (zh) * 2009-05-05 2011-05-04 中国科学院计算技术研究所 分布式拒绝服务攻击的检测方法及系统
US20100293103A1 (en) 2009-05-12 2010-11-18 Microsoft Corporation Interaction model to migrate states and data
US8793151B2 (en) * 2009-08-28 2014-07-29 Src, Inc. System and method for organizational risk analysis and reporting by mapping detected risk patterns onto a risk ontology
US8712596B2 (en) * 2010-05-20 2014-04-29 Accenture Global Services Limited Malicious attack detection and analysis
CN103403685B (zh) * 2010-12-30 2015-05-13 艾新顿公司 在线隐私管理
WO2013043170A1 (en) * 2011-09-21 2013-03-28 Hewlett-Packard Development Company L.P. Automated detection of a system anomaly
US9529777B2 (en) * 2011-10-28 2016-12-27 Electronic Arts Inc. User behavior analyzer
US9117076B2 (en) * 2012-03-14 2015-08-25 Wintermute, Llc System and method for detecting potential threats by monitoring user and system behavior associated with computer and network activity
US9832211B2 (en) * 2012-03-19 2017-11-28 Qualcomm, Incorporated Computing device to detect malware
CN105378790B (zh) * 2013-03-15 2020-06-12 索库里公司 使用社交联网数据的风险评估
US9558347B2 (en) * 2013-08-27 2017-01-31 Globalfoundries Inc. Detecting anomalous user behavior using generative models of user actions
US9338187B1 (en) * 2013-11-12 2016-05-10 Emc Corporation Modeling user working time using authentication events within an enterprise network
US20150235152A1 (en) * 2014-02-18 2015-08-20 Palo Alto Research Center Incorporated System and method for modeling behavior change and consistency to detect malicious insiders
CN103853841A (zh) * 2014-03-19 2014-06-11 北京邮电大学 一种社交网用户异常行为的分析方法
US9565203B2 (en) * 2014-11-13 2017-02-07 Cyber-Ark Software Ltd. Systems and methods for detection of anomalous network behavior
US9690933B1 (en) * 2014-12-22 2017-06-27 Fireeye, Inc. Framework for classifying an object as malicious with machine learning for deploying updated predictive models
US9654485B1 (en) * 2015-04-13 2017-05-16 Fireeye, Inc. Analytics-based security monitoring system and method
US20160308725A1 (en) 2015-04-16 2016-10-20 Nec Laboratories America, Inc. Integrated Community And Role Discovery In Enterprise Networks
WO2016177437A1 (en) * 2015-05-05 2016-11-10 Balabit S.A. Computer-implemented method for determining computer system security threats, security operations center system and computer program product
US9699205B2 (en) * 2015-08-31 2017-07-04 Splunk Inc. Network security system
US9888024B2 (en) * 2015-09-30 2018-02-06 Symantec Corporation Detection of security incidents with low confidence security events
MA44828A (fr) 2016-02-16 2018-12-26 Morpho Bv Procédé, système, dispositif, et produit-programme informatique, destinés à l'autorisation à distance d'un utilisateur de services numériques
US10372910B2 (en) * 2016-06-20 2019-08-06 Jask Labs Inc. Method for predicting and characterizing cyber attacks

Also Published As

Publication number Publication date
WO2018148657A1 (en) 2018-08-16
NZ755115A (en) 2023-06-30
IL268231B (en) 2022-05-01
KR20190117526A (ko) 2019-10-16
CN110366727A (zh) 2019-10-22
US20200092318A1 (en) 2020-03-19
IL268231A (en) 2019-09-26
EP3552138B1 (en) 2023-07-12
RU2019127797A3 (ko) 2021-07-05
AU2018219369B2 (en) 2022-01-06
JP2020509478A (ja) 2020-03-26
RU2019127797A (ru) 2021-03-15
CA3050321A1 (en) 2018-08-16
BR112019014366A2 (pt) 2020-02-27
AU2018219369A1 (en) 2019-07-25
CL2019002189A1 (es) 2019-12-27
ZA201904963B (en) 2020-11-25
JP7108365B2 (ja) 2022-07-28
US10491616B2 (en) 2019-11-26
US11233810B2 (en) 2022-01-25
CO2019008341A2 (es) 2019-08-20
KR102433425B1 (ko) 2022-08-17
MX2019009505A (es) 2019-10-02
RU2768562C2 (ru) 2022-03-24
PH12019550134A1 (en) 2020-06-01
US20180234442A1 (en) 2018-08-16
CN110366727B (zh) 2023-09-19
EP3552138A1 (en) 2019-10-16

Similar Documents

Publication Publication Date Title
SG11201907140UA (en) Multi-signal analysis for compromised scope identification
SG11201906575QA (en) Continuous learning for intrusion detection
SG11201811343SA (en) System and methods for detecting online fraud
SG11201903190PA (en) A light detection and ranging (lidar) device having multiple receivers
SG11201809913PA (en) Methods for detecting target nucleic acids in a sample
SG11201902981RA (en) Iot provisioning service
SG11201907605YA (en) Light detection systems and methods for using thereof
SG11201909410VA (en) Machine learned decision guidance for alerts originating from monitoring systems
SG11201804190YA (en) Method and system for blockchain variant using digital signatures
SG11201806723PA (en) Security system
SG11201810922VA (en) Methods and systems for detecting environmental information of a vehicle
SG11201907592XA (en) Methods and systems using networked phased-array antennae applications to detect and/or monitor moving objects
SG11201908288XA (en) Configurable annotations for privacy-sensitive user content
SG11201903715XA (en) High sensitivity repeater defect detection
SG11201908489XA (en) De novo synthesized combinatorial nucleic acid libraries
SG11201900509YA (en) Simultaneous capturing of overlay signals from multiple targets
SG11201806595UA (en) Using cell-free dna fragment size to determine copy number variations
SG11201804518TA (en) A method to design geophysical surveys using full wavefield inversion point-spread function analysis
SG11201710238QA (en) Autonomic incident triage prioritization by performance modifier and temporal decay parameters
SG11201811426UA (en) Distributed electronic record and transaction history
SG11201908509TA (en) Biosensors for biological or chemical analysis and methods of manufacturing the same
SG11201807030TA (en) Radar mounting estimation with unstructured data
SG11201810890RA (en) Situation aware personal assistant
SG11201805906WA (en) Diagnostic and prognostic methods for cardiovascular diseases and events
SG11201909685RA (en) Methods and apparatus for characterising the environment of a user platform