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Detecting flooding attack while accommodating burst traffic in delay tolerant networks

机译:在容忍延迟的网络中容纳突发流量的同时检测泛洪攻击

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Delay Tolerant Network (DTN) is developed to cope with intermittent connectivity and long delay in wireless networks. Due to limited connectivity, DTN is vulnerable to flooding attack in which malicious nodes flood the network with superfluous data to deplete the network resources. Existing works mitigate internal flooding attacks by rate-limit to constrain the number of messages that nodes can generate per time slot. However, rate-limit cannot flexibly accommodate burst traffic in which nodes may have sending demand higher than the rate-limit for a short period. In this paper, we propose FDER to detect flooding attack and yet allow legitimate burst traffic simultaneously. Nodes exchange their histories of encounter records (ER) which record the sent messages during their previous encounters. The ER history is used to infer a node's new message transmission rate over time and the number of forwarded replicas per message. Nodes which send too many messages or replicas can thus be detected. Since ER serves as a useful tool for monitoring nodes' sending behavior over a long time period, FDER could detect the burst traffic violation efficiently. Simulation results show that FDER can detect flooding attack at higher accuracy and lower delay compared to state-of-the-art scheme.
机译:延迟容忍网络(DTN)的开发是为了应对无线网络中的间歇性连接和长时间延迟。由于连接受限,DTN容易受到泛洪攻击,在这种攻击中,恶意节点会将多余的数据泛洪到网络中,从而耗尽网络资源。现有工作通过限速来减轻内部泛洪攻击,以限制每个时隙节点可以生成的消息数量。但是,速率限制不能灵活地容纳突发流量,在这些流量中,节点可能在短时间内具有高于速率限制的发送需求。在本文中,我们提出了FDER以检测洪泛攻击,同时允许合法的突发流量。节点交换其遭遇记录(ER)的历史记录,这些记录记录了先前遭遇期间发送的消息。 ER历史记录用于推断节点随时间的新消息传输速率以及每个消息的转发副本数。因此,可以检测到发送过多消息或副本的节点。由于ER是长时间监视节点发送行为的有用工具,因此FDER可以有效地检测突发流量违规。仿真结果表明,与最新方案相比,FDER能够以更高的精度和更低的延迟检测洪泛攻击。

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