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A Game Theoretic Approach to Modelling Jamming Attacks in Delay Tolerant Networks

机译:延迟容忍网络中干扰攻击建模的博弈论方法

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The delay-tolerant-network (DTN) model is becoming a viable communication alternative to the traditional infrastructure model for military, terrestrial and atypical networks, which are characterised by transmission delay and intermittent network connections. The possibility of limited connectivity and resource scarcity in DTNs make them vulnerable to various cyber-attacks, including interference attacks such as jamming. We study the defence against jamming attacks in a delay tolerant network with two adversarial players - the jammer, and the transmitter receiver pair in a game theoretic environment. The transmitters seek to choose an optimal time to schedule the transmission securely to maximise the probability of successful delivery before the session expires, while signal interferences from the jammer attempts to minimise this probability. We design strategies for the transmitters that offset transmission period based inference of network traffic by the jammer. We deduce a solution for this game, using a probability distribution function over finite number of strategies for both the players to compute their expected payoff. Using a simulation test-bed, we create several scenarios in which the players are considered to have perfect/imperfect information and compute the expected payoff and resulting equilibrium values. The cases of perfect /imperfect information of the players are further studied using entropy based measures. These results are used to strategically evaluate the optimal time for the players, and assess the efficiency of the strategies used by the transmitters against jammer attacks.
机译:延迟容忍网络(DTN)模型正在成为军事,陆地和非典型网络的传统基础结构模型的可行通信替代方法,该模型具有传输延迟和间歇性网络连接的特点。 DTN中有限的连接性和资源稀缺的可能性使它们容易受到各种网络攻击的影响,包括干扰等干扰攻击。我们在游戏理论环境中研究了具有两个对抗性玩家(干扰器和发射器对接收器)的延迟容忍网络中的抗干扰攻击的防御措施。发射机试图选择最佳时间来安全地调度传输,以在会话期满之前最大程度地提高成功传送的概率,而来自干扰机的信号干扰则试图使该概率最小。我们为发射机设计了一些策略,这些策略可根据干扰对网络流量的推断来抵消传输周期。我们使用有限数量的策略上的概率分布函数为两个玩家计算他们的预期收益,得出了该游戏的解决方案。使用模拟测试台,我们创建了几种方案,在这些方案中,玩家被认为具有完善/不完善的信息,并计算了预期的收益和所产生的平衡值。使用基于熵的度量进一步研究玩家的完美/不完美信息的情况。这些结果用于策略性地评估玩家的最佳时间,并评估发送器针对干扰攻击使用的策略的效率。

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