Protection on Wireless Sensor Network from Clone Attack using the SDNEnabled Hybrid Clone Node Detection Mechanisms Abstract   WSN is an infrastructure less network that consists of mobile nodes that communicate with each other over wireless links. WSN is vulnerable to the node replication attack (clone attack). Attackers through compromising one sensor node replicate many clones having the same identity (ID) from the compromised node, and place these clones in various places of network. Clones contain all the credentials of legitimate member so appears authentic. This makes the conventional cryptographic tools useless and clone detection difficult. Once the node replication attack has been successful it can help the attacker to exploit almost all of the network operations, like routing, data collection, and key distribution, and also to help launch various other attacks such as black hole, wormhole etc. This proposed work therefore attempts a SDN based mechanism that implements a network level route analysis and timebased analysis methods which involves a low cost timely monitoring of the environment to identify and avoid redundant nodes which may be caused due to cloning attack. Thus, the SDN based cyber security applications are most useful in this situation. The implementation of this SDN based mechanism in WSN helps in maintaining and improving the QoS (Quality of service) constraints. The hybrid clone node detection (HCND) mechanism helps to detect the clone node present in the wireless network. This is to perform efficient clone detection in such a way to eliminate cloning attack in proactive fashion. To detect clones locally as well as across geographical region through cost effective identity verification procedure. This method helps to protect the wireless sensor network from the node identity replicas using the superimposed SDIS junction code. The node identity replicas help to choose the credible path for successful transmissions. The superimposed method is to be used for retrieval of information from node participating on the network. To thwart cluster of attacks hosted from the clones, by removing the hosting clones. The simulation result shows that there is the performance analysis of various parameters such as false positive, false negative ratio analysis, precision analysis, recall analysis and detection analysis.

Joint Sybil Attack Prevention and Energy Conservation in Wireless Sensor Networks Sybil attacks, wherein a network is subverted by forging node identities, remains an open issue in wireless sensor networks (WSNs). This paper proposes a scheme, called Location and Communication ID (LCID) based detection, which employs residual energy, communication ID and location information of sensor nodes for Sybil attacks prevention. Moreover, LCID takes into account the resource constrained nature of WSNs and enhances energy conservation through hierarchical routing. Sybil nodes are purged before clusters formation to ensure that only legitimate nodes participate in clustering and data communication. CH selection is based on the average energy of the entire network to loadbalance energy consumption. LCID selects a CH if its residual energy is greater than the average network energy. Furthermore, the workload of CHs is equally distributed among sensor nodes. A CH once selected cannot be selected again for 1p rounds, where p is the CH selection probability. Simulation results demonstrate that, as compared to an eminent scheme, LCID has a higher Sybil attacks detection ratio, higher network lifetime, higher packet reception rate at the BS, lower energy consumption, and lower packet loss ratio.