RBA: Detection and Protection Analysis Using Region-Based Algorithm in Ultra-Dense Networks

• Main Authors: Garima Chopra, Rakesh Kumar Jha, Sanjeev Jain
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: UDN; RBA; secure; vehicular users; ED; correlation matrix
• Online Access: https://ieeexplore.ieee.org/document/8667418/

Due to broadcast nature of wireless medium, increased density of users, base stations (BSs) and small cell size in the ultra-dense network (UDN), the users are susceptible to be attacked by malicious eavesdroppers (EDs). However, UDN is provisioned with exceptionally adequate performance for all diversity of users along with the appearance of low power small cells in abundance. This paper deals with the secure transmission in UDN for high speed (or vehicular) users under the influence of single or multiple EDs. Thereby to ensure secure communication, we design a detection algorithm based on pattern matching for high-speed users by computing the secrecy rate loss (SRL) and simultaneously estimating the ranks to determine the sensitive area for attack. We then also develop the mathematical approach through the formation of a correlation matrix. We formulate the secure and energy efficient algorithm called region-based algorithm (RBA), which will protect users by encrypting the information transmitted in the sensitive area of attack. Simulation results reveal that the proposed algorithm is energy efficient and secure. RBA outperforms the conventional approach of encryption and also helps in saving energy (reserved for encryption) more than 90%. We also propose the optimal utilization of saved encryption energy to further improve the secrecy rate of moving users in the region of attack. The simulation results verify our theoretical approach and proposed approach well meets the target QoS in the attacked zone, to overcome the impact of ED.