Hybrid Multi-Level Detection and Mitigation of Clone Attacks in Mobile Wireless Sensor Network (MWSN)

Abstract

Wireless sensor networks (WSNs) are often deployed in hostile environments, where an adversary can physically capture some of the sensor nodes. The adversary collects all the nodes’ important credentials and subsequently replicate the nodes, which may expose the network to a number of other security attacks, and eventually compromise the entire network. This harmful attack where a single or more nodes illegitimately claims an identity as replicas is known as the node replication attack. The problem of node replication attack can be further aggravated due to the mobile nature in WSN. In this paper, we propose an extended version of multi-level replica detection technique built on Danger Theory (DT), which utilizes a hybrid approach (centralized and distributed) to shield the mobile wireless sensor networks (MWSNs) from clone attacks. The danger theory concept depends on a multi-level of detections; first stage (highlights the danger zone (DZ) by checking the abnormal behavior of mobile nodes), second stage (battery check and random number) and third stage (inform about replica to other networks). The DT method performance is highlighted through security parameters such as false negative, energy, detection time, communication overhead and delay in detection. The proposed approach also demonstrates that the hybrid DT method is capable and successful in detecting and mitigating any malicious activities initiated by the replica. Nowadays, crimes are vastly increasing and it is crucial to modify the systems accordingly. Indeed, it is understood that the communication needs to be secured by keen observation at each level of detection. The simulation results show that the proposed approach overcomes the weaknesses of the previous and existing centralized and distributed approaches and enhances the performance of MWSN in terms of communication and memory overhead.

Cluster Analysis and Model Comparison Using Smart Meter Data

“…To bridge the gap between the customer and the grid, the best possible solution, as suggested by [ 3 ], is to group the customers with similar electric usage behavior. The clustering approach and hybrid concept are interesting, as mentioned in paper [ 22 ] with the concept of the danger theory. To identify the users who are consuming the same amount of energy or, in other words, check their likelihood, those who have the same pattern will be combined.…”

Detection and Avoidance of Clone Attack in IoT Based Smart Health Application

“…This reduces when the number of dead nodes decreases to 10. The existing routing algorithm called Hybrid Multi-Level Clustering (HMLC) algorithm [11] produces next highest time delay. Time delay further reduces with the existing HMLC algorithm by avoiding clone attack.…”

“…Shaukat et al [11] has proposed a scheme in which hybrid multi-level detection was performed for the identification of clone attack. The proposed algorithm was based on the concept of danger theory.…”

Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

“…Regarding electronic devices, they take samples and report the behavior of environment variables or of the individuals for whom these variables were created. In both instances, problems arise in terms of access conditions to power grids or communications networks [ 205 , 206 ], and especially for wireless sensors, which, in general, exhibit decreased processing resources, battery autonomy, wireless range or security [ 207 ]. These constraints contrast with the demands for resources needed when applying machine learning techniques, which implies that identifying computationally efficient strategies is an essential component.…”