Proposed neural intrusion detection system to detect denial of service attacks in MANETs
نویسندگان
چکیده
MANTs are groups of mobiles hosts that arrange themselves into a grid lacking some preexist organization where the active network environment makes it simple in danger by an attacker. A node leaves out, and another enters network, making easy to penetration. This paper aims design new method intrusion detection MANET avoiding Denial Service (DoS) basis on neural networks Zone Sampling-Based Traceback algorithm (ZSBT). There several restrictions outdating detection, such as time-intense, regular informing, non-adaptive, accuracy, suppleness. Therefore, novel system is stimulated Artificial Neural Network ZSBT using simulated MANET. Using KDD cup 99 dataset, experiments demonstrate model could can detect DoS effectively.
منابع مشابه
Intrusion Detection against Denial of Service Attacks in Manet Environment
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ژورنال
عنوان ژورنال: Periodicals of Engineering and Natural Sciences (PEN)
سال: 2022
ISSN: ['2303-4521']
DOI: https://doi.org/10.21533/pen.v10i3.2997