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Active Link Obfuscation to Thwart Link-flooding Attacks for Internet of Things

机译:主动链接混淆,以挫败链接泛滥的互联网攻击

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The DDoS attack is a serious threat to Internet of Things (IoT). As a new class of DDoS attack, Link-flooding attack (LFA) disrupts connectivity between legitimate IoT devices and target servers by flooding only a small number of links. In this paper, we propose an active LFA mitigation mechanism, called Linkbait, that is a proactive and preventive defense to throttle LFA for IoT. We propose a link obfuscation algorithm in Linkbait that selectively reroutes probing flows to hide target links from adversaries and mislead them to identify bait links as target links. To block attack traffic and further reduce the impact in IoT, we propose a compromised IoT devices detection algorithm that extracts unique traffic patterns of LFA for IoT and leverages support vector machine (SVM) to identify attack traffic. We evaluate the performance of Linkbait by using both real-world experiments and large-scale simulations. The experimental results demonstrate the effectiveness of Linkbait.
机译:DDOS攻击是对物联网(物联网)的严重威胁。作为一类新的DDOS攻击,链接泛洪攻击(LFA)通过仅泛滥的链接淹没了合法物联网设备和目标服务器之间的连接。在本文中,我们提出了一种名为Linkbait的活跃LFA缓解机制,这是一个积极的和预防性的防御,以便为物联网推出LFA。我们提出了LinkBait中的链接混淆算法,可选择地重新排出探测流以隐藏来自对手的目标链接,并误导它们以识别诱饵链接作为目标链接。为了阻止攻击流量并进一步降低IOT的影响,我们提出了一个受到影响的IOT设备检测算法,该算法提取用于物联网的LFA的独特流量模式,并利用支持向量机(SVM)来识别攻击流量。我们通过使用现实世界的实验和大规模模拟来评估LinkBait的表现。实验结果表明了Linkbait的有效性。

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