On Adapting Data Collection to Intrusion Detection
Doctoral thesis, 2009
attack manifestation
data reduction
in-vehicle network
attack analysis
adaptation
intrusion detection
computer security
data collection
forensic investigation
Author
Ulf Larson
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Decision Support for Intrusion Detection Data Collection
Proceedings of the 13th Nordic Workshop on Secure IT-systems (NordSec 2008), October 9-10, 2008, Copenhagen, Denmark,;(2008)
Paper in proceeding
Conducting Forensic Investigations of Cyber Attacks on Automobile In-Vehicle Networks
International Journal of Digital Crime and Forensics,;Vol. 1(2009)p. 28-41
Journal article
Combining Physical and Digital Evidence in Vehicle Environments
3rd International Workshop on Systematic Approaches to Digital Forensic Engineering, SADFE 2008; Berkeley, CA; United States; 22 May 2008 through 22 May 2008,;(2008)p. 10-14
Paper in proceeding
Reducing system call logs with selective auditing
Nordic Workshop on Secure IT Systems (NordSec),;(2005)p. 122-131
Paper in proceeding
METAL - A tool for extracting attack manifestations
Detection of Intrusions and Malware, and Vulnerability Assessment, Second International Conference, DIMVA 2005,;(2005)p. 85-102
Paper in proceeding
A General Model and Guidelines for Attack Manifestation Generation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),;Vol. 5141(2007)p. 274-286
Paper in proceeding
An Approach to Specification-based Attack Detection for In-Vehicle Networks
Proceedings of the IEEE Intelligent Vehicles Symposium, June 4-6, 2008, Eindhoven, The Netherlands,;(2008)
Journal article
Subject Categories
Computer Engineering
ISBN
978-91-7385-235-7
Technical report D - Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University: 58D
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 2916
HC2, Hörsalsvägen, Chalmers University of Technology
Opponent: Prof. Felix Wu, Department of Computer Science, UC Davis, CA, USA