'Anomaly detection' diaporamas de présentation

A Wavelet Approach to Network Intrusion Detection

A Wavelet Approach to Network Intrusion Detection. W. Oblitey & S. Ezekiel IUP Computer Science Dept. Intrusion Detection: . Provides monitoring of system resources to help detect intrusion and/or identify attacks. Complimentary to blocking devices. Insider attacks.

1.02k views • 76 slides

Artificial Immune Systems: An Emerging Technology

Artificial Immune Systems: An Emerging Technology. Congress on Evolutionary Computation 2001. Seoul, Korea. Dr. Jonathan Timmis Computing Laboratory University of Kent at Canterbury England. UK. J.Timmis@ukc.ac.uk http:/www.cs.ukc.ac.uk/people/staff/jt6. Tutorial Overview.

827 views • 56 slides

Intrusion Detection

Intrusion Detection. Outline. Intrusion detection and computer security Current intrusion detection approaches Data Mining Approaches for Intrusion Detection Summary. Intrusion Detection and Computer Security . Computer security goals: Confidentiality, integrity, and availability

969 views • 55 slides

Detecting Outliers in IoT Data Streams

Detecting Outliers in IoT Data Streams. S ystemX Seminar 14 March 2019. Vassilis Christophides INRIA Paris ( MiMove ) vassilis.christophides@inria.fr Mike Giannoulis & Theodoros Marios Giakoumakis Computer Science Department, University of Crete. Universality of IoT Technology.

631 views • 52 slides

Raffay Hamid, Amos Johnson, Samir Batta, Aaron Bobick, Charles Isbell, Graham Coleman

Activity Discovery and Anomalous Activity Explanation Raffay Hamid, Amos Johnson, Samir Batta, Aaron Bobick, Charles Isbell, Graham Coleman Activity Discovery and Anomalous Activity Explanation Activity Discovery and Anomalous Activity Explanation

828 views • 47 slides

756 views • 47 slides

Security Monitoring Thru Log Analysis

517 views • 42 slides

Viruses: Classification and Prevention

Viruses: Classification and Prevention. Mike Morain. Basic Lecture Structure. History of malware Nature and operation of malware Discuss means of identification, removal, and prevention Virtualization in malware. A Brief History. John Von Neumann

748 views • 41 slides

CIT 380: Securing Computer Systems

CIT 380: Securing Computer Systems. Malware. Facebook. http://www.nku.edu/~frank/cit380/docs/facebook.htm. Quarantine. http://www.nku.edu/~frank/cit380/docs/Quarantine.htm. Morris Worm. First Internet Worm: November 1988 Multi-architecture: Sun, VAX Multi-vector

730 views • 40 slides

Survey Presentation on Four Selected Research Papers on Data Mining Based Intrusion Detection System

Survey Presentation on Four Selected Research Papers on Data Mining Based Intrusion Detection System. Presented By: Ahmedur Rahman Zillur Rahman Lawangeen Khan Date: April 05, 2006. 60-564: Security and Privacy on the Internet Instructor: Dr. A. K. Aggarwal. Selected Research Papers.

591 views • 40 slides

PlanetLab: Evolution vs Intelligent Design in Global Network Infrastructure

PlanetLab: Evolution vs Intelligent Design in Global Network Infrastructure. Larry Peterson Princeton University. PlanetLab. 670 machines spanning 325 sites and 35 countries nodes within a LAN-hop of > 3M users Supports distributed virtualization

665 views • 40 slides

Massive Data Streams in Graph Theory and Computational Geometry Ph.D. Dissertation Defense

Massive Data Streams in Graph Theory and Computational Geometry Ph.D. Dissertation Defense. Jian Zhang Advisor: Joan Feigenbaum. Committee: Ravi Kannan Avi Silberschatz Sampath Kannan (UPenn). Support: NSF grants 0105337 and 0331548. Talk Outline.

675 views • 37 slides

Intrusion Detection

Intrusion Detection. Intruders. two most publicized threats to security are malware and intruders generally referred to as a hacker or cracker. Classes (from [ANDE80]:. Examples of Intrusion. remote root compromise web server defacement guessing / cracking passwords

567 views • 31 slides

Mitigating IoT-based Cyberattacks on the Smart Grid

Mitigating IoT-based Cyberattacks on the Smart Grid. S u leyman Uluda g Department of Computer Science University of Michigan, Flint, MI. Yasin Yilmaz, Mahsa Mozaffari Secure and Intelligent Systems Lab sis.eng.usf.edu Department of Electrical Engineering

448 views • 25 slides

Spatio-Temporal Compressive Sensing

Spatio-Temporal Compressive Sensing. ACM SIGCOMM 2009 August 20, 2009. Q : How to fill in missing values in a matrix? Traffic matrix Delay matrix Social proximity matrix. Internet Traffic Matrices. Traffic Matrix (TM) Gives traffic volumes between origins and destinations

520 views • 25 slides

Data Mining Anomaly Detection

753 views • 24 slides

Chapter 9

Chapter 9. Intruders. Outline. Intruders Intrusion Techniques Password Protection Password Selection Strategies Intrusion Detection Statistical detection Rule-Based detection Summary. Intruders. Three classes of intruders (hackers or crackers):

397 views • 21 slides

Intrusion Detection and Containment in Database Systems

Intrusion Detection and Containment in Database Systems. Abhijit Bhosale M.Tech (IT) School of Information Technology, IIT Kharagpur. Topics. Intrusion and Intrusion Detection Intrusion Detection in Database Systems Data Mining Approach Intrusion Detection in Real-time Database Systems

600 views • 20 slides

Intrusion Detection Approaches and Techniques

Intrusion Detection Approaches and Techniques. Meikang Qiu Chang-en Yang Dept. of Computer Science University of Texas at Dallas. Introduction. Intrusion Detection Intrusion: il legal action unauthorized access Intruder: External

355 views • 16 slides

GIS & Maritime Domain Awareness CAPT Curtis Dubay, PE, USCG Office of Systems and Architecture October 19, 2006

The Overall Classification of this Briefing is: UNCLASSIFIED. GIS & Maritime Domain Awareness CAPT Curtis Dubay, PE, USCG Office of Systems and Architecture October 19, 2006. Lack of Policy or Systems Architecture/ Structure A Culture of Secrecy The Dark Side of Maritime Transportation

476 views • 15 slides