论文标题

LGTBIDS:基于图形理论的基于图表的入侵检测系统超出5G

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

论文作者

Shafi, Misbah, Jha, Rakesh Kumar, Jain, Sanjeev

论文摘要

无线通信技术的进步变得越来越苛刻和普遍。限制网络效率的基本参数之一是安全挑战。通信网络容易受到安全攻击的攻击,例如欺骗攻击和信号强度攻击。入侵检测表示确保通信网络安全性的中心方法。在本文中,提出了基于图理论框架的入侵检测系统。基于图形理论的层理论入侵检测系统(LGTBIDS)算法旨在检测攻击的节点。该算法执行层分析以提取脆弱的节点,并最终提取受攻击的节点。对于每一层,每个节点都被扫描,以了解易感节点的可能性。 ID的策略是基于能源效率和保密率的分析。以超出上下阈值范围的能源效率和保密速率的节点被检测到正在受到攻击的节点。此外,检测到的节点是用随机的位序列传输的,然后是重新认证的过程。获得的结果验证了更好的性能,低时间计算和低复杂性。最后,将提出的方法与传统的入侵检测解相提并论。

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.

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