Abstract
MANET refers to a mobile ad hoc network, which is self-configured without having a fixed base. It has been used in various fields for various purposes like military, local conferences, and the movable of information. However, due to the lack of built-in security, safety is a significant concern in the MANET. There are various types of attacks which are possible on MANETs. One of the attack is a Blackhole attack. It is an active attack in which a malicious node shows itself as the shortest route and absorbs the packet just like a blackhole does in-universe. In this paper, a proposed technique has used a trust-based fuzzy method based on auditing of energy, the Trust of a neighbouring node, check for the integrity of packets, and authentication of the Node Member. Trust values in the fuzzy logic range from 0 to 1. If node trust value is higher than or equal to 0.6, then the node is trusted, and its type of node taken in our scenario for communication between source to destination. If the node trust rate on the routing table is less than 0.6, that means the node is a blackhole node, and its type node does not consider a safe route, in this paper proposed a method, i.e., Trust-based Fuzzy Ad hoc On-Demand Distance Vector (TFAODV), to an attack scenario. This paper is improved results in terms of throughput, packet delivery ratio, end-to-end delay, shows the throughput improvement, and found to be 1441 kbps, packet delivery ratio enhancement of 57.10%, and delay decrease of 52% from Blackhole Ad hoc On-Demand Distance Vector (BAODV). Therefore, the proposed protocol covers the way and possesses the potential to secure the MANET.
Keywords
- Blackhole attack
- MANET
- AODV
- Trust authentication
- Trust of a neighbouring node
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Elmahdi E, Yoo SM, Sharshembiev K (2020) Secure and reliable data forwarding using homomorphic encryption against blackhole attacks in mobile ad hoc networks. J Inf Secur Appl 51:102425. https://doi.org/10.1016/j.jisa.2019.102425
Moudni H, Er-Rouidi M, Mouncif H, El Hadadi B (2019) Black hole attack detection using fuzzy based intrusion detection systems in MANET. Procedia Comput Sci 151:1176–1181. https://doi.org/10.1016/j.procs.2019.04.168
Kalkha H, Satori H, Satori K (2019) Preventing black hole attack in wireless sensor network using HMM. Procedia Comput Sci 148:552–561. https://doi.org/10.1016/j.procs.2019.01.028
Vinayagam J, Balaswamy C, Soundararajan K (2019) Certain investigation on MANET security with routing and blackhole attacks detection. Procedia Comput Sci 165:196–208. https://doi.org/10.1016/j.procs.2020.01.091
Tsiota A, Xenakis D, Passas N, Merakos L (2019) On Jamming and black hole attacks in heterogeneous wireless networks. IEEE Trans Veh Technol 68(11):10761–10774. https://doi.org/10.1109/TVT.2019.2938405
Li T, Ma J, Pei Q, Song H, Shen Y, Sun C (2019) DAPV: Diagnosing anomalies in MANETs routing with provenance and verification. IEEE Access 7:35302–35316. https://doi.org/10.1109/ACCESS.2019.2903150
Keerthika V, Malarvizhi N (2019) Mitigate black hole attack using hybrid bee optimized weighted trust with 2-Opt AODV in MANET. Wirel Pers Commun 106(2):621–632. https://doi.org/10.1007/s11277-019-06182-8
Kavitha T, Geetha K, Muthaiah R (2019) India: Intruder node detection and isolation action in mobile ad hoc networks using feature optimization and classification approach. J Med Syst 43(6). https://doi.org/10.1007/s10916-019-1309-2
Gurung S, Chauhan S (2019) A survey of blackhole attack mitigation techniques in MANET: merits, drawbacks, and suitability. Wirel Networks 1–31. https://doi.org/10.1007/s11276-019-01966-z
Tourani R, Misra S, Mick T, Panwar G (2018) Security, privacy, and access control in information-centric networking: a survey. IEEE Commun Surv Tutorials 20(1):556–600. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/COMST.2017.2749508
Ochola EO, Mejaele LF, Eloff MM, Van Der Poll JA (2017) Manet reactive routing protocols node mobility variation effect in analyzing the impact of black hole attack. SAIEE Africa Res J 108(2):80–91. https://doi.org/10.23919/saiee.2017.8531629
Sankara Narayanan S, Murugaboopathi G (2020) Modified secure AODV protocol to prevent black hole attack in MANET. Concurrency Comput 32(4). https://doi.org/10.1002/cpe.5017
Yaseen QM, Aldwairi M (2018) An enhanced AODV protocol for avoiding black holes in MANET. Procedia Comput Sci 134:371–376. https://doi.org/10.1016/j.procs.2018.07.196
Cai RJ, Li XJ, Chong PHJ (2019) An evolutionary self-cooperative trust scheme against routing disruptions in MANETs. IEEE Trans Mobile Comput 18(1):42–55. https://doi.org/10.1109/TMC.2018.2828814
Arulkumaran G, Gnanamurthy RK (2019) Fuzzy trust approach for detecting black hole attack in mobile ad hoc network. Mobile Networks Appl 24:386–393. https://doi.org/10.1007/s11036-017-0912-z
Vo TT, Luong NT, Hoang D (2019) MLAMAN: a novel multi-level authentication model and protocol for preventing blackhole attack in mobile ad hoc network. Wirel Network 25:4115–4132. https://doi.org/10.1007/s11276-018-1734-z
Uddin M, Taha A, Alsaqour R, Saba T (2017) Energy-efficient multipath routing protocol for a mobile ad-hoc network using the fitness function. IEEE Access 5:10369–10381. https://doi.org/10.1109/ACCESS.2017.2707537
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shukla, M., Joshi, B.K. (2022). An Effective Scheme to Mitigate Blackhole Attack in Mobile Ad Hoc Networks. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_12
Download citation
DOI: https://doi.org/10.1007/978-981-19-0019-8_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0018-1
Online ISBN: 978-981-19-0019-8
eBook Packages: EngineeringEngineering (R0)