An efficient point‐to‐point security solution for multihop routing in wireless sensor networks

Abstract

Multihop enhances the performance of wireless sensor network (WSN); however, it is prone to several security and privacy issues due to its over‐reliance on intermediary nodes during transmission. Providing an effective security solution in WSNs with low computational cost is a challenging issue. Although there are several existing schemes to secure WSN, these schemes suffer from high computational cost in their authentication and signature verification processes, which reduces the overall performance of the network. In our scheme, we proposed an efficient lightweight security solution to mitigate security issues related to multihop routing in WSNs. A point‐to‐point authentication technique, additive perturbation, and symmetric encryption, using a novel key distribution and perturbs generation techniques to ensure data integrity and confidentiality during multihop routing, are engaged in our solution. As a result, our scheme is able to secure WSNs against possible known attacks and performs better than existing state‐of‐the‐art security scheme for multihop routing. The performance analysis shows that the proposed scheme requires low computational cost and secured against attacks.

Wireless Sensor Networks (WSNs): Security and Privacy Issues and Solutions

“…That is, increasing cost of creating an identity and reducing the possible of having multiple identities will thwart Sybil attack, since the goal of a Sybil attacker is to acquire more identities. Also, traceable pseudonym and network-node identity generated by base station can be used to prevent a Sybil attack [9,26].…”

“…All these show that security and privacy solutions of WSN must not only be lightweight in terms of the computational, communication, and energy overheads but also support aggregation and multi-hop in order to reduce the traffics and extend the life span of the networks. Meanwhile, most of the existing security solutions do not have these performance requirements [1,[7][8][9][10].…”

Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks

“…Although several research efforts had shown that residual energy and mobility factor of nodes are the major parameters needed for determining effective routing in MWSNs, however, the major issue is how to obtain these parameters. Are they to be requested from the targeted nodes (direct approach) or predicted by the sink based on some intrinsical factors (predictive approach)?.…”

“…and self-healing, thereby enabling peer-level communications between their mobile nodes without relying on centralized resources or fixed infrastructure. Their nodes, with in-built controllers and batteries as shown in Figure 1, are characterized by low energy, computation power constraint, and in-deterministic topology due to their random mobilities, 1 which contribute to the nonstability of MWSNs and lead to the low data delivery rate and general poor performance of MWSNs. 2,3 Several routing protocols had been proposed for WSNs, some of these protocols as proposed in [4][5][6][7][8][9][10][11][12][13] consider different factors to achieve reliability, increase routing speed, and low transmission energy.…”

“…4 Therefore, at present, more research efforts are being toward how to obtain the characteristics of the network topology for developing routing protocol for a reliable data delivery. Some existing protocols determine the reliable link using the stability of their neighbouring nodes by requesting them to supply their energy levels and mobility patterns, 14 while some engage residual energies of their neighbouring nodes, along the route, and distance to determine reliable link(s) between the source and destination nodes as done in Reference 15,16. Although several research efforts had shown that residual energy and mobility factor of nodes are the major parameters needed for determining effective routing in MWSNs, 1,[4][5][6] however, the major issue is how to obtain these parameters. Are they to be requested from the targeted nodes (direct approach) or predicted by the sink based on some intrinsical factors (predictive approach)?.…”