The DIDS (Distributed Intrusion Detection System) Prototype
نویسندگان
چکیده
منابع مشابه
DIDS (Distributed Intrusion Detection System) − Motivation, Architecture, and An Early Prototype
Intrusion detection is the problem of identifying unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators. The proliferation of heterogeneous computer networks provides additional implications for the intrusion detection problem. Namely, the increased connectivity of computer systems gives greater access to outsiders, and makes it easier for intr...
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In the new interconnected world, we need to secure vehicular cyber-physical systems (VCPS) using sophisticated intrusion detection systems. In this article, we present a novel distributed intrusion detection system (DIDS) designed for a vehicular ad hoc network (VANET). By combining static and dynamic detection agents, that can be mounted on central vehicles, and a control center where the alar...
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Distributed Intrusion Detection Systems (DIDS) offer an alternative to centralized intrusion detection. Current research indicates that a distributed intrusion detection paradigm may afford greater coverage, consequently providing an increase in security. In some cases, DIDS offer an alternative to centralized analysis, consequently improving scalabity. SHOMAR, the distributed architecture pres...
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Computer security is defined as the protection of computing systems against threats to confidentiality, integrity, and availability. An intrusion is defined as any set of actions that attempt to compromise the integrity, confidentiality or availability of a resource. The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known...
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In Distributed Intrusion Detection Systems (DIDS) data is collected from various sources, correlated, and used to determine if systems are under attack or have been compromised. The use of DIDS allows for increased security as there is a broader view of incidents transpiring across the entire network. With data coming from different sources, the problem of correlating and analyzing such large a...
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