Next generation wireless networks are under high risk of security attacks due to increased connectivity and information sharing among peer nodes. Some of the nodes could potentially be malicious, intending to disrupt or tamper sensitive data transfer in the network. In this paper, we present a detailed analysis of the sentinel based data integrity attack detection of malicious relays using a stochastic geometry framework. We assume a practical channel model for each wireless link and apply a stochastic geometry approach to interference modeling. Two detection schemes depending on the level of connectivity between sentinel devices are proposed: isolated and co-operative detection. For both schemes, attack detection probability is derived as a function of important network parameters, and the minimum density of sentinels to achieve a given detection probability is calculated. It will be shown that a reasonable attack detection probability can be achieved even when the sentinel node density is much lower than the relay node density.

中文翻译：

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使用哨兵的恶意中继检测：随机几何框架

由于对等节点之间的连接性和信息共享增加，下一代无线网络面临着安全攻击的高风险。一些节点可能是恶意的，意图破坏或篡改网络中的敏感数据传输。在本文中，我们使用随机几何框架详细分析了基于哨兵的恶意中继数据完整性攻击检测。我们假设每个无线链路都有一个实用的信道模型，并将随机几何方法应用于干扰建模。根据哨兵设备之间的连接级别提出了两种检测方案：隔离检测和合作检测。对于这两种方案，攻击检测概率是作为重要网络参数的函数得出的，并计算达到给定检测概率的最小哨兵密度。结果表明，即使哨兵节点密度远低于中继节点密度，也可以实现合理的攻击检测概率。