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Enhanced techniques to strengthening DTN against flood attacks

机译：增强DTN抵御洪水攻击的增强技术

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The intermittent connectivity between nodes to transfer data is exploited using Disruption tolerant networks (DTNs). DTNs are susceptible to flood attacks which limit the network resources. Various methods were used to defend these attacks based on distributed schemes with certain difficulties to count the packets or duplicates sent by a node. This is due to lack of communication infrastructure. Two limits are used to mitigate packet flood and replica flood attacks, respectively. Violation of both the limits can be easily noticed by claim-carry-and-check. The inconsistency check against full claims is trivial. This is designed to work in a distributed system. Moreover, it allows tolerating a little amount of attackers for collision. Proposed algorithm is learning automata. It uses the feedback mechanism. The feedback from the previous nodes is collected and thereby reduces the limitation for the successor nodes. The goal is to detect the attacker by approximate counting and discard the flooded packets.
机译：使用容错网络（DTN）利用节点之间的间歇性连接来传输数据。 DTN容易受到洪水攻击，从而限制了网络资源。基于分布式方案，使用各种方法来防御这些攻击，但难以计算节点发送的数据包或重复数据。这是由于缺乏通信基础设施。使用两个限制分别缓解数据包泛洪和副本泛洪攻击。可以通过索赔进行检查很容易地注意到这两个限制的违反。对全部索赔的不一致检查是微不足道的。它旨在在分布式系统中工作。此外，它允许容忍少量攻击者进行碰撞。提出的算法是学习自动机。它使用反馈机制。收集来自先前节点的反馈，从而减少了后续节点的限制。目的是通过近似计数来检测攻击者并丢弃泛洪的数据包。

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