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https://doi.org/10.20532/cit.2019.1004706

CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System

Saidat Adebukola Onashoga ; Federal University of Agriculture, Abeokuta, Nigeria
Adio Taofiki Akinwale ; Federal University of Agriculture, Abeokuta, Nigeria
Opeyemi L. Amusa ; Federal University of Agriculture, Abeokuta, Nigeria
Gboyega Adebayo ; Federal University of Agriculture, Abeokuta, Nigeria

Puni tekst: engleski, pdf (1 MB) str. 29-39 preuzimanja: 35* citiraj
APA 6th Edition
Onashoga, S.A., Akinwale, A.T., Amusa, O.L. i Adebayo, G. (2019). CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System. Journal of computing and information technology, 27 (2), 29-39. https://doi.org/10.20532/cit.2019.1004706
MLA 8th Edition
Onashoga, Saidat Adebukola, et al. "CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System." Journal of computing and information technology, vol. 27, br. 2, 2019, str. 29-39. https://doi.org/10.20532/cit.2019.1004706. Citirano 26.01.2020.
Chicago 17th Edition
Onashoga, Saidat Adebukola, Adio Taofiki Akinwale, Opeyemi L. Amusa i Gboyega Adebayo. "CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System." Journal of computing and information technology 27, br. 2 (2019): 29-39. https://doi.org/10.20532/cit.2019.1004706
Harvard
Onashoga, S.A., et al. (2019). 'CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System', Journal of computing and information technology, 27(2), str. 29-39. https://doi.org/10.20532/cit.2019.1004706
Vancouver
Onashoga SA, Akinwale AT, Amusa OL, Adebayo G. CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System. Journal of computing and information technology [Internet]. 2019 [pristupljeno 26.01.2020.];27(2):29-39. https://doi.org/10.20532/cit.2019.1004706
IEEE
S.A. Onashoga, A.T. Akinwale, O.L. Amusa i G. Adebayo, "CK-RAID: Collaborative Knowledge Repository for Intrusion Detection System", Journal of computing and information technology, vol.27, br. 2, str. 29-39, 2019. [Online]. https://doi.org/10.20532/cit.2019.1004706

Sažetak
Intrusion Detection Systems (IDSs) are an integral part of an organization's infrastructure. Without an IDS facility in place to monitor network and host activities, attempted and successful intrusion attempts may go unnoticed. This study proposed a Collaborative Knowledge Repository Architecture for Intrusion Detection (CK-RAID). It is based on a distributed network of computer nodes, each with their individual IDS with a centralized knowledge repository system, and firewall acting as a defence. When an unfamiliar attack hits any node, the first step the intrusion monitor takes is to request from Knowledge Repository Server the most effective intrusion response. To improve performance, Intrusion Update module collaborates with IDSs sensor and log by updating their expert rule and intrusion information respectively and removing the old intrusion signature from the knowledge base with the aid of Intrusion Detector Pruning. To ensure security of information exchange, RSA encryption and Digital Signature were used to encode information during transit. The result showed that CK-RAID had a detection rate of 97.2%, compared with Medoid Clustering, Y-means, FCM and K-means that have an accuracy of 96.38%, 87.15%, 82.13% and 77.25% respectively. Therefore, CK-RAID can be deployed for efficient detection of all categories of intrusion detection and response.

Ključne riječi
intrusion, knowledge repository, network, security, digital signature

Hrčak ID: 228264

URI
https://hrcak.srce.hr/228264

Posjeta: 70 *