A semantic web enabled host intrusion detection system
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inderscience Enterprises Ltd.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Security has preeminent importance in today's technological environment. In recent years, as cyber-attacks have emerged new security concerns have arisen. In order to overcome the serious consequences of these cyber-attacks, fully-functioning and performance-improved intrusion detections systems are required. In this work, we propose a semantic web based host intrusion detection system to reduce the search time for malware scanning and to improve the performance of the intrusion detection systems. For this purpose, we used ontologies to provide semantic expressiveness and knowledge description for an intrusion detection system. The proposed ontology based intrusion detection system scans for malwares running on the operating system. Also, services and processes that are working on the system are scanned, and results are compared with a malware database. If any match occurs, the proposed system displays a malware list that matches with the information of that malware and where it is running. Copyright © 2018 Inderscience Enterprises Ltd.
Açıklama
Anahtar Kelimeler
HIDS, Host intrusion detection system, IDS, Intrusion detection system, Ontology, Semantic web
Kaynak
International Journal of Metadata, Semantics and Ontologies
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
13
Sayı
1
