Imperative Node Evaluator With Self Replication Mode for Network Intrusion Detection
نویسندگان
چکیده
In recent years, network expansion has increased exponentially, making security a pressing issue for modern systems. Monitoring user activity abnormalities is useful fraud detection strategy. The ability of system to efficiently discover new, previously unknown vulnerabilities and respond in way that minimises damage and, ideally, removes the threat, one most important open research topics field cyber security. This provides blueprint an intrusion employs pattern matching self-replication among other methods. As detects potentially dangerous symptoms surroundings, it compares them events have become apparent so far find may explain their occurrence. Once this happens, alerts nodes keep eye out harmful event sequences, initiates defence mechanism lessens number false alarms. Using natural self-healing idea, outlines novel method An Imperative Node Evaluator with Self Replication Code Auto Triggering Mode (INE-SRC-ATM) proposed auto healing if occurs also perform triggering securing reducing To activate mechanism, IDS must first identify assess impact hostile actions on network. means process begins when caused by malevolent identified. model self immediately triggers there dissimilarity attributes improve levels. contrasted traditional performs high terms replication accuracy
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3273904