Network security and energy consumption are deemed to be two important components of wireless and mobile ad hoc networks(WMANets).There are various routing attacks which harm Ad Hoc networks.This is because of the uns...Network security and energy consumption are deemed to be two important components of wireless and mobile ad hoc networks(WMANets).There are various routing attacks which harm Ad Hoc networks.This is because of the unsecure wireless communication,resource constrained capabilities and dynamic topology.In order to cope with these issues,Ad Hoc On-Demand Distance Vector(AODV)routing protocol can be used to remain the normal networks functionality and to adjust data transmission by defending the networks against black hole attacks.The proposed system,in this work,identifies the optimal route from sender to collector,prioritizing the number of jumps,the battery life,and security,which are fundamental prerequisites.Researches have proposed various plans for detecting the shortest route,as well as ensuring energy conversions and defense against threats and attacks.In this regard,the packet drop attack is one of the most destructive attack against WMANet communication and hence merits special attention.This type of attack may allow the attacker to take control of the attacked hubs,which may lost packets or transmitted information via a wrong route during the packets journey from a source hub to a target one.Hence,a new routing protocol method has been proposed in this study.It applies the concept of energy saving systems to conserve energy that is not required by the system.The proposed method for energy aware detection and prevention of packet drop attacks in mobile ad hoc networks is termed the Ad Hoc On-Demand and Distance Vector–Packet Drop Battling Mechanism(AODV–PDBM).展开更多
为了有效判断网络数据包是否存在被攻击的可能性,提出了一种新的基于云模型的检测算法DMCM(Detection Method based on Cloud Model)。该算法首先结合数据包属性的离散度和偏差定义了状态指标,并根据云模型给出了标准差分布的计算流程,...为了有效判断网络数据包是否存在被攻击的可能性,提出了一种新的基于云模型的检测算法DMCM(Detection Method based on Cloud Model)。该算法首先结合数据包属性的离散度和偏差定义了状态指标,并根据云模型给出了标准差分布的计算流程,以此判断数据包的异常状况。最后,通过OPNET和MATLAB进行仿真实验,深入研究了影响该算法的关键因素,同时与其它算法之间进行了性能对比,结果表明DMCM具有较好的适应性。展开更多
文摘Network security and energy consumption are deemed to be two important components of wireless and mobile ad hoc networks(WMANets).There are various routing attacks which harm Ad Hoc networks.This is because of the unsecure wireless communication,resource constrained capabilities and dynamic topology.In order to cope with these issues,Ad Hoc On-Demand Distance Vector(AODV)routing protocol can be used to remain the normal networks functionality and to adjust data transmission by defending the networks against black hole attacks.The proposed system,in this work,identifies the optimal route from sender to collector,prioritizing the number of jumps,the battery life,and security,which are fundamental prerequisites.Researches have proposed various plans for detecting the shortest route,as well as ensuring energy conversions and defense against threats and attacks.In this regard,the packet drop attack is one of the most destructive attack against WMANet communication and hence merits special attention.This type of attack may allow the attacker to take control of the attacked hubs,which may lost packets or transmitted information via a wrong route during the packets journey from a source hub to a target one.Hence,a new routing protocol method has been proposed in this study.It applies the concept of energy saving systems to conserve energy that is not required by the system.The proposed method for energy aware detection and prevention of packet drop attacks in mobile ad hoc networks is termed the Ad Hoc On-Demand and Distance Vector–Packet Drop Battling Mechanism(AODV–PDBM).
文摘为了有效判断网络数据包是否存在被攻击的可能性,提出了一种新的基于云模型的检测算法DMCM(Detection Method based on Cloud Model)。该算法首先结合数据包属性的离散度和偏差定义了状态指标,并根据云模型给出了标准差分布的计算流程,以此判断数据包的异常状况。最后,通过OPNET和MATLAB进行仿真实验,深入研究了影响该算法的关键因素,同时与其它算法之间进行了性能对比,结果表明DMCM具有较好的适应性。
