ANMS: DESIGN AND EVALUATION OF A MANET SIMULATOR FOR DIVERSIFIED ATTACKS | ||||
| Journal of Al-Azhar University Engineering Sector | ||||
| Article 33, Volume 13, Issue 48, July 2018, Page 1042-1056 PDF (613.44 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/auej.2018.18992 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hatem Salama1; Gouda Salama1; Khaled Badran1; Mohamed Zaki2 | ||||
| 1Military Technical College, Cairo, Egypt | ||||
| 2Faculty of Engineer Al-Azhar Universty, Cairo, Egypt | ||||
| Abstract | ||||
| In this paper as-Application Needs MANET Simulator (ANMS) is presented as a novel unique simulator that can simulate equally the two attack types. The underlying simulator consists of two levels, one for each attack type. ANMS is two-fold to cover MANET diversified attacks and it has been built up using a Unified Modeling Language (UML). Its construction starts by emphasizing the use cases [i.e. the sequential relation between the server data and the clients broadcast]. Consequently, the class diagram is built up. Each class contains its public, private member and methods, while the relations between classes express their message handling. Eventually ANMS is coded and developed. ANMS works by feeding it by MANET-under-consideration. Then the first part that embeds the Byzantine oriented consensus simulation shows whether there is a Byzantine attack. If no Byzantine attacks it announces success otherwise it announces suspected. The suspected cases are categorized to false failure, true failure or attack/malicious. The last cases are examined using the second part of ANMS (typical intrusions part) to classify the underlying attack. ANMS is subject to tremendous amount of tests. Those tests include performance evaluation, comparisons and confusion matrix. The experimental performance of ANMS confirms the fact that, it is really needed for MANETs administration and their security measurements. | ||||
| Keywords | ||||
| Byzantine Attack; Consensus Algorithm; MANET Attacks; Use Cases; Class Diagram; Decision Tree | ||||
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