journal article·2022Open access

Resistance to Malicious Packet Droppers Through Enhanced AODV in a MANET

Shirina Samreen

Computers, Materials & Continua· Volume 72· Issue 2

Abstract

Packet dropping in a mobile ad hoc network can manifest itself as the data plane attacks as well as control plane attacks. The former deal with malicious nodes performing packet drop on the data packets following the route formation and the latter deal with those malicious nodes which either drop or manipulate the control packets to degrade the network performance. The idea of the proposed approach is that during the route establishment, each of the on-path nodes is provided with pre-computed hash values which have to be used to provide a unique acknowledgement value to the upstream neighbor which acts as a proof of the forwarding activity. The analysis phase results in the detection of nodes which exhibited malicious behavior in the current communication session so as to avoid them in the future communication sessions resulting in an improved packet delivery fraction even in the presence of one or more malicious nodes in the network. The communication overhead incurred is minimum since the acknowledgement reports are sent to the destination for a transmission of N packets rather than an individual acknowledgement for each transmitted packet. In contrast to some of the existing techniques, the proposed mechanism is not dependent on the deployment of additional infrastructure like special Intrusion Detection System (IDS) nodes. The only overhead incurred is in the form of control packets exchanged for the reports request and the reports submission.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Mobile Ad Hoc Networks · Opportunistic and Delay-Tolerant Networks · Vehicular Ad Hoc Networks (VANETs)

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (22)

Show source-provided references
1. Prevention of selective black hole attacks on mobile ad hoc networks through intrusion detection systems10.1016/j.comcom.2010.08.007 ↗
2. Secure reporting of traffic forwarding activity in mobile ad hoc networks
3. T. A. Amornkul, “On detection mechanisms and their performance for packet dropping attack in ad hoc networks,” Ph. D Thesis, University of Pittsburgh, 2008.
4. A review on propagation of secure data, prevention of attacks and routing in mobile ad-hoc networksmobile ad hoc networks
5. A Reputation-based model for trust evaluation in social cyber-physical systems
6. A novel recommendation-based trust inference model for MANETs10.1007/978-3-319-94268-1_82 ↗
7. A Trust-based predictive model for mobile ad hoc network in internet of things
8. A Trust-based predictive model for mobile ad hoc network10.1504/IJCNDS.2020.103858 ↗
9. A stochastic approach for packet dropping attacks detection in mobile Ad hoc networks10.1016/j.comnet.2017.04.027 ↗
10. Accurate and cognitive intrusion detection system (ACIDS): A novel black hole detection mechanism in mobile ad hoc networks10.1007/s11036-019-01505-2 ↗
11. Robust defense scheme against selective drop attack in wireless ad hoc networks10.1109/ACCESS.2019.2896001 ↗
12. Packet drop battling mechanism for energy aware detection in wireless networks10.32604/cmc.2020.014094 ↗
13. Trust based detection and elimination of packet drop attack in the mobile ad-hoc networks10.1007/s11277-017-5070-x ↗
14. Trust of the same: Rethinking trust and reputation management from a structural homophily perspective10.4018/IJISP.2015040102 ↗
15. Fuzzy based detection of malicious activity for security assessment of MANET10.1007/s40009-017-0602-1 ↗
16. Secure and reliable data forwarding using homomorphic encryption against blackhole attacks in mobile ad hoc networks10.1016/j.jisa.2019.102425 ↗
17. Preventing malicious packet dropping nodes in MANET using IFHM based SAODV routing protocol10.1007/s10586-018-1958-9 ↗
18. EAER-AODV: Enhanced trust model based on average encounter rate for secure routing in MANET10.1007/978-981-10-8183-5_9 ↗
19. Optimisation driven-based secure routing in MANET using atom whale optimization algorithm10.1504/IJCNDS.2021.116484 ↗
20. Secure adhoc on-demand multipath distance vector routing in MANET10.1007/978-981-10-6890-4_5 ↗
21. C. E. Perkins, E. B. Royer, and S. Das, “Ad hoc on-demand distance vector (AODV) routing,” IETF Internet Draft, MANET working group, 2004.10.17487/rfc3561 ↗
22. The network simulator-ns-2, 1989. http://www.isi.edu/nsnam/ns/.