A Predicate Encryption Based Anomaly Detection Scheme for E-Health Communications Network
Shengjie Xu, Feng Ye · 2018
For applications of the communication networks and big data, E-Health has emerged and become a very popular paradigm to not only monitor people's health conditions continuously, but also provide precise medical treatment accordingly and instantly. However, recent E-Health applications have raised serious concerns on the anomalous behaviors of a person's sensitive medical records, that the private health conditions are being maliciously compromised and modified by evil third parties. Existing research literatures have investigated such an issue by incorporating multiple cryptographic schemes to guarantee the privacy of a user's sensitive medical records. In this paper, we propose a predicate encryption scheme for anomaly detection in communication networks applied to E-Health applications. Specifically, the major novelty and contribution in this work is the use of session key as a message in the encryption operation of predicate encryption system, for the purpose of achieving both information privacy and efficient cryptographic computations. We then introduce the system and security model in an E-Health network, and provide the detailed descriptions on the design of predicates and anomaly detection procedures. Finally, we present the simulation results in terms of computational and communication overhead, and future studies of our work.