Integrated membrane computing framework for modeling intrusion detection systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Several activities take place within a network environment which include (but not restricted to) movement of traffics (packets) among the nodes. An Intrusion Detection system (IDS) which is primarily concerned with the monitoring of an information system with the sole aim of reporting activities which are symptomatic of an attack, needs constant review and upgrade to enhance its operations. In this work, we argue that two of the variants of Membrane computing (MC); spiking neural P (SNP) system and tissue-like P system could best be used as tools to enhance the activities and security properties of any computer network system. Therefore, this paper proposes an alternative but dependable integrated modeling framework which applies membrane computing paradigms to intrusion detection systems. This framework combines the membrane systems model for rule-based intrusion detection systems as well as attack detection model implemented on GPU for high throughput and detection speedup for checkmating packet loss/drop. MC is a newly introduced but yet to be fully explored technology in the area of network/information system security. It is a versatile, nondeterministic and maximally parallel computing model.

Original languageEnglish
Title of host publicationBio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers
PublisherSpringer Verlag
Pages336-346
Number of pages11
Volume681
ISBN (Print)9789811036101
DOIs
Publication statusPublished - 2016
Event11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016 - Xian, China
Duration: 28 Oct 201630 Oct 2016

Publication series

NameCommunications in Computer and Information Science
Volume681
ISSN (Print)18650929

Other

Other11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016
CountryChina
CityXian
Period28/10/1630/10/16

Fingerprint

Intrusion detection
Membranes
Information systems
Parallel processing systems
Packet loss
Computer networks
Throughput
Tissue
Monitoring

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Idowu, R. K., Muniyandi, R. C., & Ali Othman, Z. (2016). Integrated membrane computing framework for modeling intrusion detection systems. In Bio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers (Vol. 681, pp. 336-346). (Communications in Computer and Information Science; Vol. 681). Springer Verlag. https://doi.org/10.1007/978-981-10-3611-8_27

Integrated membrane computing framework for modeling intrusion detection systems. / Idowu, Rufai Kazeem; Muniyandi, Ravie Chandren; Ali Othman, Zulaiha.

Bio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers. Vol. 681 Springer Verlag, 2016. p. 336-346 (Communications in Computer and Information Science; Vol. 681).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Idowu, RK, Muniyandi, RC & Ali Othman, Z 2016, Integrated membrane computing framework for modeling intrusion detection systems. in Bio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers. vol. 681, Communications in Computer and Information Science, vol. 681, Springer Verlag, pp. 336-346, 11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016, Xian, China, 28/10/16. https://doi.org/10.1007/978-981-10-3611-8_27
Idowu RK, Muniyandi RC, Ali Othman Z. Integrated membrane computing framework for modeling intrusion detection systems. In Bio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers. Vol. 681. Springer Verlag. 2016. p. 336-346. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-10-3611-8_27
Idowu, Rufai Kazeem ; Muniyandi, Ravie Chandren ; Ali Othman, Zulaiha. / Integrated membrane computing framework for modeling intrusion detection systems. Bio-inspired Computing – Theories and Applications - 11th International Conference, BIC-TA 2016, Revised Selected Papers. Vol. 681 Springer Verlag, 2016. pp. 336-346 (Communications in Computer and Information Science).
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