| Title | An Efficient and Secure Directed Diffusion in Industrial Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Sengupta, Jayasree, Ruj, Sushmita, Das Bit, Sipra |
| Conference Name | Proceedings of the 1st International Workshop on Future Industrial Communication Networks |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5929-0 |
| Keywords | composability, directed diffusion, iwsns, Metrics, node compromise, pairing, pubcrawl, Sinkhole attack, Sybil attack, sybil attacks |
| Abstract | Industrial Wireless Sensor Networks (IWSNs) are an extension of the Internet of Things paradigm that integrates smart sensors in industrial processes. However, the unattended open environment makes IWSNs vulnerable to malicious attacks, such as node compromise in addition to eavesdropping. The compromised nodes can again launch notorious attacks such as the sinkhole or sybil attack which may degrade the network performance. In this paper, we propose a lightweight, Secure Directed Diffusion (SDD) protocol. The algorithm for the proposed protocol uses bilinear pairing to derive a location-based key (LK) by binding the ID and geographic location of a node, thereby ensuring neighborhood authentication. Thus, authenticated nodes can prevent eavesdropping, node compromise including sinkhole and sybil attacks while ensuring confidentiality, authenticity, integrity with reduced latency. Finally, through security analysis, we prove that basic security is maintained and above-mentioned attacks are also prevented. We also compute storage, computation and communication overheads which show that SDD performs at least 2.6 times better in terms of storage overhead and at least 1.3 times better in terms of communication overhead over the other state-of-the-art competing schemes for attack preventions in WSN domain. |
| URL | http://doi.acm.org/10.1145/3243318.3243320 |
| DOI | 10.1145/3243318.3243320 |
| Citation Key | sengupta_efficient_2018 |
An Efficient and Secure Directed Diffusion in Industrial Wireless Sensor Networks