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Auditing Based Technique for Identification of Malicious Packet Dropping in Manet
| Content Provider | Semantic Scholar |
|---|---|
| Author | Vanitha, K. Anitha, K. Musthafa, M. Mohamed Rahaman, A. M. J. Zubair |
| Copyright Year | 2019 |
| Abstract | MANET is multi hop ad-hoc networks and nodes in that can acts as sender or receiver or relay. Packet drooping is one of the main concerns and the packet loss can be occurred by link errors and malicious packet dropping. The main purpose of this work is to develop an accurate algorithm for detecting selective packet drops made by insider attackers and to improve the detection accuracy, to differentiate whether packet loss is caused due to link error or activity of the attacker by exploiting the correlations between lost packets and to detect packet dropping attacks in mobile environment. The packet dropping in this case is nearly equal to the normal link error because of which existing algorithm that are based on detecting the packet loss rate cannot find the exact cause of packet loss. Hence to improve the detection accuracy, the correlations between lost packets is identified. The technique called Homomorphism Linear Authenticator (HLA) based public auditing architecture is developed that allows the detector to verify the truthfulness of packet loss information reported by nodes. This architecture is privacy preserving, collusion proof and incurs low communication and storage overheads. Hence to improve the detection accuracy, the correlations between the bitmap generated are calculated and lost packets are identified. The public auditing architecture is developed that detects and verifies the truthfulness of the packet loss information reported by nodes. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijsdr.org/papers/IJSDR1904076.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
