| Title | Multi-Attack Detection Using Forensics and Neural Network Based Prevention for Secure MANETs |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Vaseer, Gurveen |
| Conference Name | 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) |
| Keywords | compositionality, delays, detection, Ethernet, Forensic method, Forensics, Fuzzy logic, IEEE 802.11 Standard, MANET, MANET Attack Detection, manet attack prevention, Metrics, Multi attacker, Neural Network, Probes, pubcrawl, resilience, Resiliency, Routing, telecommunication traffic |
| Abstract | This paper presents Forensic methods for detection and prevention of multiple attacks along with neural networks like Denial-of-Service (DoS), probe, vampire, and User-to-Root (U2R) attacks, in a Mobile Ad hoc Network (MANET). We accomplish attacker(s) detection and prevention percentage upto 99% in varied node density scenarios 50/100/150. |
| DOI | 10.1109/ICCCNT49239.2020.9225471 |
| Citation Key | vaseer_multi-attack_2020 |
Multi-Attack Detection Using Forensics and Neural Network Based Prevention for Secure MANETs