Joint Security and Energy Efficiency in IoT Networks Through Clustering and Bit Flipping

Channel-aware encryption is investigated as a physical layer security technique in internet of things (IoT) scenarios. Clustering algorithms for grouping sensor nodes into cooperative clusters are proposed, with the purpose of decreasing energy consumption and reducing the transmission time of sensor data. Bit flipping is implemented with the clustering method in order to "encrypt" the transmitted data based on channel state information. The simulation results validate the performance of the proposed approach in terms of reducing energy consumption, reducing transmission time, and of confusing the eavesdropper from guessing the correct transmissions of sensor nodes.

[1]  Fredrik Gunnarsson,et al.  LTE release 14 outlook , 2016, IEEE Communications Magazine.

[2]  Donald F. Towsley,et al.  Hiding information in noise: fundamental limits of covert wireless communication , 2015, IEEE Communications Magazine.

[3]  Liang Chen,et al.  Internet of Things for Ambient Assisted Living: Challenges and Future Opportunities , 2017, 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC).

[4]  Eduard A. Jorswieck,et al.  To avoid or not to avoid CSI leakage in physical layer secret communication systems , 2015, IEEE Communications Magazine.

[5]  Amitav Mukherjee,et al.  Physical-Layer Security in the Internet of Things: Sensing and Communication Confidentiality Under Resource Constraints , 2015, Proceedings of the IEEE.

[6]  Elias Yaacoub,et al.  Multihop Routing for Energy Efficiency in Wireless Sensor Networks , 2012 .

[7]  Jinho Choi,et al.  Channel Aware Encryption and Decision Fusion for Wireless Sensor Networks , 2013, IEEE Transactions on Information Forensics and Security.