NDLI: Detection of attack strategies

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2013 International Conference on Risks and Security of Internet and Systems (CRiSIS)

Front cover

Foreword

Conference organization

Parsifal: Writing efficient and robust binary parsers, quickly

How to develop secure applications with Aspect-Oriented Programming

Accessing secure information using export file fraudulence

Misbehaviour monitoring on system-of-systems components

What security for electronic exams?

Economic impact of software security activities in software development

MASS: An efficient and secure broadcast authentication scheme for resource constrained devices

A complete tableau procedure for risk analysis

Semantic-based context-aware alert fusion for distributed Intrusion Detection Systems

Detection of attack strategies

A formal methodology for Enterprise Information Security risk assessment

Uniqueness of the file systems genome: Supporting arguments and massive experimental measurements

Controlled information sharing for unspecified emergencies

CREPUSCOLO: A collusion resistant privacy preserving location verification system

Privacy-enhanced filtering and collection middleware in EPCglobal networks

Predictive vulnerability scoring in the context of insufficient information availability

A defensive Java Card virtual machine to thwart fault attacks by microarchitectural support

Quantitative assessment of software vulnerabilities based on economic-driven security metrics

Selective record route DoS traceback

An event processing approach for threats monitoring of service compositions

2012 7th International Conference on Risks and Security of Internet and Systems (CRiSIS)

2011 6th International Conference on Risks and Security of Internet and Systems (CRiSIS)

2010 Fifth International Conference on Risks and Security of Internet and Systems (CRiSIS)

2009 Fourth International Conference on Risks and Security of Internet and Systems (CRiSIS 2009)

2008 Third International Conference on Risks and Security of Internet and Systems

Detection of attack strategies

Content Provider	IEEE Xplore Digital Library
Author	Alsuhibany, S.A. Morisset, C. van Moorsel, A.
Copyright Year	2013
Description	Author affiliation: Centre for Cybercrime & Comput. Security, Newcastle Univ., Newcastle upon Tyne, UK (Alsuhibany, S.A.; Morisset, C.; van Moorsel, A.)
Abstract	An intrusion and attack detection system usually focuses on classifying a record as either normal or abnormal. In some cases such as insider attacks, attackers rely on feedback from the attacked system, which enables them to gradually manipulate their attempts in order to avoid detection. This paper proposes the notion of accumulative manipulation that can be observed through a number of attempts accomplished by the attacker, which forms the basis of the Attacker Learning Curve (ALC). Based on a controlled experiment, we first show that the ALC for three different attack strategies are consistent between two different groups of subjects. We then define a strategy detection mechanism, which is experimentally shown to be accurate more than 70% of the time.
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	8
File Size	902112
Page Count	8
File Format	PDF
ISBN	9781479934881
DOI	10.1109/CRiSIS.2013.6766353
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-23
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion Detection Supervised Learning Attacker Learning Curve Thesauri Unsupervised Learning Security Strategy Detection
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 Libarray 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

Network Intrusion Detection by Using Supervised and Unsupervised Machine Learning Techniques : A Survey

An unsupervised method for intrusion detection using spectral clustering

Learning intrusion detection: supervised or unsupervised? (2005)

Real-Time Intrusion Detection System Based on Self-Organized Maps and Feature Correlations

Learning Attack Strategies from Intrusion Alerts (2003)

Learning intrusion detection: supervised or unsupervised? (2005)

Learning attack strategies from intrusion alerts

Semi-supervised learning methods for network intrusion detection

Learning Attack Strategies from Intrusion Alerts

Detection of attack strategies

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