LGTBIDS: Layer-wise Graph Theory Based Intrusion Detection System in Beyond 5G

The advancement in wireless communication technologies is becoming more demanding and pervasive. One of the fundamental parameters that limit the efficiency of the network are the security challenges. The communication network is vulnerable to security attacks such as spoofing attacks and signal strength attacks. Intrusion detection signifies a central approach to ensuring the security of the communication network. In this paper, an Intrusion Detection System based on the framework of graph theory is proposed. A Layerwise Graph Theory-Based Intrusion Detection System (LGTBIDS) algorithm is designed to detect the attacked node. The algorithm performs the layer-wise analysis to extract the vulnerable nodes and ultimately the attacked node(s). For each layer, every node is scanned for the possibility of susceptible node(s). The strategy of the IDS is based on the analysis of energy efficiency and secrecy rate. The nodes with the energy efficiency and secrecy rate beyond the range of upper and lower thresholds are detected as the nodes under attack. Further, detected node(s) are transmitted with a random sequence of bits followed by the process of re-authentication. The obtained results validate the better performance, low time computations, and low complexity. Finally, the proposed approach is compared with the conventional solution of intrusion detection.

Electromagnetic Radiation Reduction in 5G Networks and Beyond using Thermal Radiation Mode

With the massive increase in the popularity of smartphones and mobile data applications demanding bandwidth requiring data rates of the order of Gigabits per second, exploration of untapped frequency spectrum such as millimeter-wave has begun. Along with providing seamless connectivity and catering to achieving high Quality of Service and Quality of Experience, investigations are ongoing to enhance our knowledge about biological safety at high frequencies. There is a need to ensure safety and reliability for the exposed public and updating the government policies regarding safety standards and regulations. This article is consecrated to provide an insight into health effects pertaining to millimeter frequencies, addressing aspects such as thermal heating in the body tissues with temperature rise, specific absorption rate, power density. As a solution, a proposal has been given for Electromagnetic radiation reduction for the mobile communication system in the form of a proposed mode that is, Thermal Radiation mode endorsing its safe use, promoting Green WCN along with increased energy efficiency and reduced complexity for the future generations to come. The proposal also validates reduced power density, Specific Absorption Rate, and temperature elevation produced in the human tissue when compared to other models in the form of simulation results obtained. It can increase the safety and reliability of 5G and beyond i.e. 6G networks in the future.