Defining Categories to Select Representative Attack Test-Cases in MANETs

MANETs are a collection of mobile nodes that dynamically form a temporary network and are capable of communicating with each other without the use of a network infrastructure or any centralized administration. Due to the flexibility provided by their dynamic infrastructure MANETs are vulnerable to many types of security attacks. Furthermore, many conventional security solutions have been developed. However, these proposals suffer from the problems of tests and evaluations. Among these solutions the intrusion detection systems (IDS). To improve the quality of protection of MANETs provided by intrusion detection systems (IDS), we provide assessment of detection and test procedures more effective. In this paper, we make a thorough analysis of existing attacks. For this we propose a new system to classify attacks based on attributes that appear to be the best classification criteria to generate test-cases. We also apply the classification tree method (CTM) to select test-cases to attack. Finally, we use the CTE (Classification Tree Editor) tool to generate and select test-cases.