NDLI: Boosting Markov Reward Models for Probabilistic Security Evaluation by Characterizing Behaviors of Attacker and Defender

Content Provider	IEEE Xplore Digital Library
Author	Zonghua Zhang Nait-Abdesselam, F. Pin-Han Ho
Copyright Year	2008
Description	Author affiliation: CNRS, Univ. of Sci. & Technol. of Lille, Lille (Zonghua Zhang; Nait-Abdesselam, F.)
Abstract	While Markov reward models (MRMs) have been widely used for system dependability evaluation, their application for evaluating security still poses as a challenge. It is observed that attacker behavior plays a key role in causing models of security evaluation to be complicated. Another observation is that representing attacker behavior in terms of attack effects instead of attack itself enables the system security to be indirectly evaluated by identifying families of attacks rather than individual instantiations. Furthermore, an attacker behavior tends to be affected by defense mechanisms (we say defender) due to their close interactions. These observations motivate us to boost MRMs to the security context by extracting the behaviors of attacker and defender. To do that, we present a general yet simple state- based approach to characterizing and inferring the behaviors of attackers and defenders in typical network attacks. It specifically contributes in two folds: 1) two objective-oriented models are developed to measure the attacker's and defender's behaviors, respectively; 2) the objectives, actions, and the resultant effects by the attacker and defender, along with the underlying system states, are then integrated and formulated as partially observable Markov decision processes. The developed models and analysis allow the behaviors of attacker and defender to be characterized in a fine-grained way, and specific attack-defense strategies to be inferred approximately via existing model-based algorithms. The system security hereby can be indirectly validated on the basis of the aggregated effects resulted from the interactive behaviors of attacker and defender. A real trace study is conducted to show feasibility and effectiveness of our proposed approach.
Starting Page	352
Ending Page	359
File Size	695070
Page Count	8
File Format	PDF
ISBN	9780769531021
DOI	10.1109/ARES.2008.75
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Algorithm design and analysis Costs security evaluation Network security Boosting Markov Reward Models anomaly detection Application software Information systems Information security Computer security Context modeling Fault trees
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Detecting Unexplained Human Behaviors in Social Networks

Mining Models for Failing Behaviors

Data stream clustering and modeling using context-trees

A framework for anomaly detection of robot behaviors

Cyber security: A game-theoretic analysis of defender and attacker strategies in defacing-website games

Modeling and Predicting Software Failure Costs

Using gaming strategies for attacker and defender in recommender systems

Slicing component-based systems

An Overview of Anomaly Detection

Boosting Markov Reward Models for Probabilistic Security Evaluation by Characterizing Behaviors of Attacker and Defender

Similar Documents

Detecting Unexplained Human Behaviors in Social Networks

Mining Models for Failing Behaviors

Data stream clustering and modeling using context-trees

A framework for anomaly detection of robot behaviors

Cyber security: A game-theoretic analysis of defender and attacker strategies in defacing-website games

Modeling and Predicting Software Failure Costs

Using gaming strategies for attacker and defender in recommender systems

Slicing component-based systems

An Overview of Anomaly Detection

Boosting Markov Reward Models for Probabilistic Security Evaluation by Characterizing Behaviors of Attacker and Defender