A novel framework for jamming detection and classification in wireless networks

作者: Ahmad Yusri Dak , Noor Elaiza Abdul Khalid , Saadiah Yahya

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摘要: Launching jamming attacks is trivial but detecting and classifying are more difficult especially in Wireless Networks. This due to the open nature of this medium that leaves it vulnerable multiple security threats. Anyone with a transceiver can launch based DoS on wireless transmissions, inject spurious messages, or jam legitimate ones. Jamming usually occur at physical MAC layers involves different methods, techniques technology. Therefore designing an efficient Intrusion Detection System (IDS) challenging task. The objective paper propose new IDS framework enables detection classification networks. To address this, problems arise both identified investigated. Lists parameters variables associated formulated detect classify attacks. Finally novel for proposed. found be able faster efficient.

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