On Adapting Data Collection to Intrusion Detection
Doktorsavhandling, 2009
attack manifestation
data reduction
in-vehicle network
attack analysis
adaptation
intrusion detection
computer security
data collection
forensic investigation
Författare
Ulf Larson
Chalmers, Data- och informationsteknik, Nätverk och system
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 i 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
Artikel i vetenskaplig tidskrift
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 i proceeding
Reducing system call logs with selective auditing
Nordic Workshop on Secure IT Systems (NordSec),;(2005)p. 122-131
Paper i 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 i 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 i 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)
Artikel i vetenskaplig tidskrift
Ämneskategorier
Datorteknik
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