TPA: Prediction of Spoofing Attack Using Thermal Pattern Analysis in Ultra Dense Network for High Speed Handover Scenario

With the rising demand for a high-data rate by the subscribers, security becomes a prominent and critical issue for the emerging ultra-dense networks (UDNs). Although, more access points (APs) are involved with the purpose to strengthen the signal quality and aid in user equipment (UE) throughput enhancement. Thus, the UDN serves as a promising approach to accommodate a large number of APs (and UE’s) and ensure them with seamless connectivity and ubiquitous coverage. However, this intensification of base station (BS) densities will upsurge the handover (HO) rates for high-speed users. In this context, this paper investigates the security issues for the roaming users in UDN, pertaining to the increased HO percentage. Toward this goal, a novel approach called as thermal pattern analysis (TPA) is proposed to determine the probable region of attack, for high-speed users through tracking their footprints of thermal energy patterns (i.e., energy and spectral efficiency). We also perform the secrecy capacity check on wandering users, considering the fact that eavesdropper (or Eve) location is erratic. Comprehensive simulations are performed for real-time deployment and results validate the effectiveness of the proposed approach. Consequently, thermal analysis can be performed for all variety of mobile communication scenarios to uncover the adversary tremor. A real-time implementation using hardware components related to the prototype study has been carried out to access the performance in the actual world. From the analysis of the results, it is quite evident that TPA is more accurate in finding the probable region of low security for the UDN environment.