| Title | Analysis of Attack Effectiveness Evaluation of AD hoc Networks based on Rough Set Theory |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Dai, Jiahao, Chen, Yongqun |
| Conference Name | 2021 17th International Conference on Computational Intelligence and Security (CIS) |
| Date Published | nov |
| Keywords | Ad hoc networks, Computational Intelligence, control theory, Data processing, effectiveness evaluation, Human Behavior, human factors, Indexes, mobile ad hoc networks, pubcrawl, Resiliency, rough set theory, Rough sets, Scalability, security |
| Abstract | This paper mainly studies an attack effectiveness evaluation method for AD hoc networks based on rough set theory. Firstly, we use OPNET to build AD hoc network simulation scenario, design and develop attack module, and obtain network performance parameters before and after the attack. Then the rough set theory is used to evaluate the attack effectiveness. The results show that this method can effectively evaluate the performance of AD hoc networks before and after attacks. |
| DOI | 10.1109/CIS54983.2021.00107 |
| Citation Key | dai_analysis_2021 |
Analysis of Attack Effectiveness Evaluation of AD hoc Networks based on Rough Set Theory