PANACEA: AUTOMATING ATTACK CLASSIFICATION FOR ANOMALY-BASED NETWORK INTRUSION DETECTION SYSTEMS DAMIANO BOLZONI, SANDRO ETALLE AND PIETER HARTEL DISTRIBUTED AND EMBEDDED SECURITY GROUP TWENTE SECURITY LAB

Source URL: www.rennes.supelec.fr

Performance Analysis of Content Matching Intrusion Detection Systems S. Antonatos
, K. G. Anagnostakis†, E. P. Markatos
, M. Polychronakis
∗
† Institute of Computer Science

Source URL: dcs.ics.forth.gr

Improving the Accuracy of Network Intrusion Detection Systems Under Load Using Selective Packet Discarding Antonis Papadogiannakis, Michalis Polychronakis, Evangelos P. Markatos Institute of Computer Science, Foundation

Source URL: www.ics.forth.gr

Testing Intrusion Detection Systems: A Critique of the 1998 and 1999 DARPA Intrusion Detection System Evaluations as Performed by Lincoln Laboratory JOHN McHUGH Carnegie Mellon University

Source URL: homeostasis.scs.carleton.ca

Time-Based Intrusion Detection in Cyber-Physical Systems Christopher Zimmer, Balasubramany Bhat, Frank Mueller Sibin Mohan Dept. of Computer Science Dept. of Computer Science North Carolina State University, Raleigh, NC

Source URL: moss.csc.ncsu.edu

Network Intrusion Detection Systems (NIDS) The Network Intrusion Detection System provides the capability for an agent or device to monitor network traffic, identify that traffic that has been identified as being poten

Source URL: netcom.army.mil

Anomaly-Based Intrusion Detection and Prevention Systems for Mobile Devices: Design and Development

Source URL: www.icsd.aegean.gr

This paper will appear at the 30th International Conference on Distributed Computing Systems (ICDCS 2010), Genoa, Italy, June 21–25, 2010 Empirical Study of a National-Scale Distributed Intrusion Detection System: Back

Source URL: www.cs.unm.edu

BotHunter: Detecting Malware Infection Through IDS-Driven Dialog Correlation Guofei Gu1 , Phillip Porras2 , Vinod Yegneswaran2 , Martin Fong2 , Wenke Lee1 1 College of Computing Georgia Institute of Technology

Source URL: www.cyber-ta.org

• Computing
• Computer network security
• Cyberwarfare
• Computer security
• Multi-agent systems
• Spamming
• Intrusion detection system
• Malware
• Computer virus
• Botnet
• Alert correlation
• Infection

Attack-Test and Verification Systems, Steps Towards Verifiable Anomaly Detection Marcel Fourn´e, Dominique Petersen, Norbert Pohlmann Institut f¨ur Internet-Sicherheit Westf¨alische Hochschule Neidenburger Str. 43

Source URL: norbert-pohlmann.com

• Computer network security
• Cyberwarfare
• Computer security
• Machine learning
• Cryptography
• Anomaly detection
• Intrusion detection system
• Botnet
• Algorithm
• NP
• Internet security
• Pattern recognition