AI 中文总结
该研究针对MANET中协同黑洞攻击问题，提出增强AODV的轻量级检测技术LW-CBH，基于诱饵过程与反向追踪，经NS-2.35仿真在多项指标上可实现攻击检测。
AI 中文摘要
移动自组织网络（MANET）是一种临时且动态的网络拓扑，其中节点具有移动性，随机分布在网络区域内。在MANET中，节点相互协作，通过源节点与目的节点之间的多跳通信来运行和转发数据。由于缺乏中央管理，MANET易遭受不同类型的攻击。部分节点拒绝协作、行为不端，表现为恶意节点，影响网络功能与连通性。提供安全性并识别恶意节点已成为MANET中具有挑战性的研究课题之一。黑洞攻击被认为是最常见的攻击类型，它会降低整体网络性能：黑洞节点故意错误公告通往目的节点的最短路径，以破坏网络通信，导致数据包丢弃。在协同黑洞攻击中，多个黑洞节点协作发动攻击，以降低网络可靠性。本文提出一种轻量级技术（LW-CBH），通过增强现有的AODV路由协议来检测和隔离协同黑洞攻击。该方案采用基于定时器的诱饵过程和反向追踪设置，通过MAC层的控制状态消息检测恶意节点，这些消息是连通支配集节点的回复序列（R-SEQ）和代码序列（C-SEQ）消息。然而，现有的AODV路由协议在MANET的动态拓扑变化期间无法检测恶意节点。使用离散事件模拟器工具NS-2.35对所提出的技术进行了仿真，针对吞吐量、数据包交付率、平均端到端延迟和归一化路由开销评估了仿真结果。
英文摘要
Mobile Ad-hoc Network (MANET) is temporary and dynamic network topology, wherein nodes are mobile in nature and distributed randomly in a network area. In MANET, nodes cooperate with each other to operate and forward data through multihop communication between source and destination. MANET is exposed to different types of attacks due to absence of central administration. However, some nodes decline to cooperate, misbehaves and appears to be malicious affecting network functionality and connectivity. Providing security and identifying malicious node has become one of the challenging research topics in MANET. Black-hole attack is considered to be most popular attack that degrades the overall network performance. Black-hole node falsely advertises the shortest path to destination intentionally to disrupt the network communication resulting in packet drop. In collaborative black-hole attacks, multiple black-hole nodes cooperate and launch attacks in order to degrade network reliability. In this article we propose a Lightweight technique to detect and isolate Collaborative Black-Hole attacks (LW-CBH) by enhancing existing AODV routing protocol. In this scheme a timer based baiting process and reverse tracing setup is used to detect malicious node through control status message in MAC layer which are Reply Sequence (R-SEQ) and Code Sequence (C-SEQ) message of connected dominated set of nodes. However existing AODV routing protocol fails to detect malicious node during dynamic topology changing in MANET. Simulation of proposed technique is performed using discrete event simulator tool NS-2.35. The simulation results are evaluated for throughput, packet delivery ratio, average end-to-end delay and normalized routing overhead.
CommentsISSN: 2349-5162, 11(1), January 2024, Link: http://www.jetir.org/papers/JETIR2401390.pdf
