A Multi-objective Optimisation Approach to IDS Sensor Placement

Hao Chen; John A. Clark; Juan E. Tapiador; Siraj A. Shaikh; Howard Chivers; Philip Nobles

A Multi-objective Optimisation Approach to IDS Sensor Placement

Hao Chen, John A. Clark, Juan E. Tapiador, Siraj A. Shaikh, Howard Chivers, Philip Nobles

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper investigates how intrusion detection system (IDS) sensors should best be placed on a network when there are several competing evaluation criteria. This is a computationally difficult problem and we show how Multi-Objective Genetic Algorithms provide an excellent means of searching for optimal placements.

Original language	English
Title of host publication	COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS
Editors	A Herrero, P Gastaldo, R Zunino, E Corchado
Place of Publication	BERLIN
Publisher	Springer
Pages	101-108
Number of pages	8
Volume	63 AISC
ISBN (Print)	978-3-642-04090-0
Publication status	Published - 2009
Event	2nd International Workshop on Computational Intelligence for Security in Information Systems (CISIS 09) - Burgos Duration: 23 Sept 2009 → 26 Sept 2009

Conference

Conference	2nd International Workshop on Computational Intelligence for Security in Information Systems (CISIS 09)
City	Burgos
Period	23/09/09 → 26/09/09

System Smart Intrusion Detection
Clark, J. A.
EPSRC
28/09/07 → 27/07/10
Project: Research project (funded) › Research

Cite this

@inproceedings{d4ecc5f977b8448abb5e99ed77cdb2c7,

title = "A Multi-objective Optimisation Approach to IDS Sensor Placement",

abstract = "This paper investigates how intrusion detection system (IDS) sensors should best be placed on a network when there are several competing evaluation criteria. This is a computationally difficult problem and we show how Multi-Objective Genetic Algorithms provide an excellent means of searching for optimal placements.",

author = "Hao Chen and Clark, {John A.} and Tapiador, {Juan E.} and Shaikh, {Siraj A.} and Howard Chivers and Philip Nobles",

year = "2009",

language = "English",

isbn = "978-3-642-04090-0",

volume = "63 AISC",

pages = "101--108",

editor = "A Herrero and P Gastaldo and R Zunino and E Corchado",

booktitle = "COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS",

publisher = "Springer",

address = "Germany",

note = "2nd International Workshop on Computational Intelligence for Security in Information Systems (CISIS 09) ; Conference date: 23-09-2009 Through 26-09-2009",

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Chen, H, Clark, JA , Tapiador, JE, Shaikh, SA, Chivers, H & Nobles, P 2009, A Multi-objective Optimisation Approach to IDS Sensor Placement. in A Herrero, P Gastaldo, R Zunino & E Corchado (eds), COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS. vol. 63 AISC, Springer, BERLIN, pp. 101-108, 2nd International Workshop on Computational Intelligence for Security in Information Systems (CISIS 09), Burgos, 23/09/09.

A Multi-objective Optimisation Approach to IDS Sensor Placement. / Chen, Hao; Clark, John A.; Tapiador, Juan E. et al.
COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS. ed. / A Herrero; P Gastaldo; R Zunino; E Corchado. Vol. 63 AISC BERLIN: Springer, 2009. p. 101-108.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Multi-objective Optimisation Approach to IDS Sensor Placement

AU - Chen, Hao

AU - Clark, John A.

AU - Tapiador, Juan E.

AU - Shaikh, Siraj A.

AU - Chivers, Howard

AU - Nobles, Philip

PY - 2009

Y1 - 2009

N2 - This paper investigates how intrusion detection system (IDS) sensors should best be placed on a network when there are several competing evaluation criteria. This is a computationally difficult problem and we show how Multi-Objective Genetic Algorithms provide an excellent means of searching for optimal placements.

AB - This paper investigates how intrusion detection system (IDS) sensors should best be placed on a network when there are several competing evaluation criteria. This is a computationally difficult problem and we show how Multi-Objective Genetic Algorithms provide an excellent means of searching for optimal placements.

M3 - Conference contribution

SN - 978-3-642-04090-0

VL - 63 AISC

SP - 101

EP - 108

BT - COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS

A2 - Herrero, A

A2 - Gastaldo, P

A2 - Zunino, R

A2 - Corchado, E

PB - Springer

CY - BERLIN

T2 - 2nd International Workshop on Computational Intelligence for Security in Information Systems (CISIS 09)

Y2 - 23 September 2009 through 26 September 2009

ER -

A Multi-objective Optimisation Approach to IDS Sensor Placement

Abstract

Conference

Projects

System Smart Intrusion Detection

Cite this