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Statically Defend Network Consumption Against Acker Failure Vulnerability in Storm

机译:静态捍卫网络消费免受风暴中的Acker失败漏洞

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Storm has been a popular distributed real-time computation system for stream data processing, which currently provides an acker mechanism to enable all topologies to be processed reliably. In this paper, via the source code analysis, we point out that the acker failure and message retransmission result in the consumption of network resources. Even worse, adversary conducts a malicious topology to consume over unconstrained network resources, which seriously affects the average processing time of topology for normal users. Aiming at defending the vulnerability, we design an offline static detection against acker failure in Storm, mainly including the code decompile, the function call relationship and the judgement rules in offline module. Meanwhile, we validate the protection scheme in Storm 0.10.0 cluster, and experimental results show that our mentioned judgement rules can achieve well precision.
机译:Storm已经成为流数据处理的流行分布式实时计算系统,该数据处理当前提供了一种Acker机制,以使所有拓扑结构可靠地处理。在本文中,通过源代码分析,我们指出了Acker失败和消息重传导致网络资源的消耗。更糟糕的是,对手进行恶意拓扑以消耗不受约束的网络资源,这严重影响了普通用户的拓扑平均处理时间。针对捍卫漏洞,我们设计了对Storm中的Acker失败的离线静态检测,主要包括代码分解,函数调用关系和脱机模块中的判断规则。同时,我们验证了风暴0.10.0集群中的保护方案,实验结果表明,我们提到的判决规则可以实现良好的精度。

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