Wireless Ad hoc Network: Wormhole Attack Detection and Emergency Message Broadcast Strategy

• Main Authors: CHU, TING-HUI, 朱庭輝
• Other Authors: CHOU, YAO-HSIN
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/uw725s

博士 === 國立暨南國際大學 === 資訊工程學系 === 106 === In recent years, the Vehicular ad hoc networks (VANETs) is a very popular research topic, and the information exchange can be grasped through the exchange of information between vehicles. In addition to the general exchange of information, the notification of urgent messages is even more important. The broadcast of emergency messages can be used to understand the driving situation early, avoid the blocked roads early, and quickly notify other vehicles after an emergency to avoid secondary accidents. This study proposes two kinds of emergency message broadcasting strategies. It is mainly the emergency message broadcast multi-hop communication protocol in the V2V communication mode. In both of our proposed methods 1 and 2, we hope to achieve a 100% acceptance rate of emergency messages and maintain a relatively low latency. Unlike many of the proposed studies, the pursuit of lower latency is actually lower than the human instinct. This study proposes a 100% acceptance rate, hoping to ensure that all vehicles are able to receive urgent messages, and secondly to reduce the delay time. In addition, wormhole attacks are a network security issue in wireless sensor networks (WSNs). After the nearby state is collected by the sensor, the data is transmitted to the collecting station by means of multi-hop transmission. However, a malicious attack will cause the sensor to establish an incorrect routing table and will not be able to return the data to the data station, causing the sensor power loss to shorten the service life. We propose a wormhole detection method that does not require the use of additional network equipment and does not require a lot of complex computations. Our method uses a change in the number of neighbors and a simple moving average (SMA) calculation to detect the presence of wormhole attacks in the scene, and uses the Quantum-inspired Tabu Search (QTS) algorithm with AND gates and OR gates to find the best detection rules. The experimental results show that our method has good detection performance.