2 research outputs found
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.Comment: in IEEE Transactions on Network and Service Management, 202