Analysis of Context-Oriented Source Location Privacy Preservation Techniques for Wireless Sensor Networks

Analysis of Context-Oriented Source Location Privacy Preservation Techniques for Wireless Sensor Networks

연구 분야: Infrastructure

학회: SN Computer Science

The rapidly advancing Internet of things has eventually led to both dependency and efficiency in almost all walks of life. However, with every benefit, there comes a threat to the privacy of data of numerous forms, thus posing a challenge to security. Increasing concern has been observed over the undesiring location privacy leaks/theft to unauthorized entities, which demands attention and, more importantly, efficient data transmission techniques. The vulnerability of location privacy is compromised by attacking or maliciously intervening in the wireless sensor nodes by attackers. By monitoring the transmission and scrutinizing the information in packets, the attackers can attain the location of the source, which sets a heavy blow to the efficiency of wireless sensor networks (WSNs). There is an adhering need for location privacy protection techniques for wireless networks. This work provides a detailed analysis of the persisting source location privacy protection techniques along with the trade-offs between different parameters affecting their performance against attackers. In particular, we review context-oriented privacy-preserving techniques against passive attacks, taking into account the three different models- The network model, the Adversary model, and the proposed model. Challenges and attacks on the reviewed techniques have been discussed in brief with the hope of facilitating exemplary future research on source location preservation in WSNs.