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Wireless Personal Communications
Published in: Wireless Personal Communications 2/2023

09-03-2023

AFA: Anti-Flooding Attack Scheme Against Flooding Attack in MANET

Authors: Vivek Mankotia, Ramesh Kumar Sunkaria, Shashi Gurung

Published in: Wireless Personal Communications | Issue 2/2023

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Abstract

Security in a mobile ad-hoc network is an essential requirement that helps in preventing attacks from the malicious node. A flooding attack is a type of denial of service attack that consumes the network bandwidth due to flooding of the fake packets by the flooder node. The different forms of flooding attacks are route request flooding attacks and data flooding attacks. In a route request flooding attack, the flooder node exhausts the network resources with a high number of fake request packets in the network whereas in a data flooding attack; the flooder node sends the fake data packets to the destination. In this paper, we have proposed an Anti-Flooding Attack (AFA) scheme that can detect both types of flooding attacks. NS-2.35 simulator is used to validate the efficiency of the proposed scheme under the effect of different mobility speeds and the number of nodes scenario. The simulation results show that the proposed AFA scheme performs better as compared with an existing scheme on the various performance metrics.
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Literature
1.
Murthy, C. S. R., & Manoj, B. S. (2004). Ad hoc wireless networks: Architectures and protocols. Upper Saddle, USA: Prentice Hall PTR.
2.
Deng, H. M., Li, W., & Agrawal, D. P. (2002). Routing security in wireless ad hoc networks. IEEE Communication Magazine, 40(10), 70–75.CrossRef
3.
Mohanapriya, M., & Krishnamurthi, I. (2014). Modified DSR protocol for detection and removal of selective black hole attack in MANET. Elsevier Computers and Electrical Engineering, 40(2), 530–538.CrossRef
4.
Medadian, M., Mebadi, A., & Shahri, E. (2009). Combat with Black Hole attack in AODV routing protocol. In IEEE First Asian Himalayas International Conference, pp. 530–535.
5.
Su, M. Y. (2010). Prevention of selective black hole attacks on mobile ad hoc networks through intrusion detection systems. Elsevier Computer Communication, 34(1), 107–117.CrossRef
6.
Chang, J. M., Tsou, P. C., Woungang, I., Chao, H. C., & Lai, C. F. (2014). Defending against collaborative attacks by malicious nodes in MANETs: A cooperative bait detection approach. IEEE System Journal, 9(1), 65–75.CrossRef
7.
Ning, P., & Sun, K. (2004). How to misuse AODV: A case study of insider attacks against mobile ad-hoc routing protocols. Elsevier Ad hoc Network, 3(6), 795–819.CrossRef
8.
Jhaveri, R. H., Patel, S. J., & Jinwala, D.C. (2012). DoS attacks in mobile ad hoc networks: A survey. In IEEE 2nd International Conference on Advanced Computing & Communication Technologies, pp. 535–541.
9.
Guo, Y., & Perreau, S. (2007). Trace flooding attack in mobile ad hoc networks. In IEEE International Conference on Intelligent Sensors, Sensor Networks and Information, pp. 329–334.
10.
Yeung, D. S., Jin, S., & Wang, X. (2007). Covariance-matrix modeling and detecting Various flooding attacks. IEEE Transaction on Systems, Man and Cybernetics, 37(2), 157–169.CrossRef
11.
Yi, P., Wu, Y., & MA, J. (2009). Experimental evaluation of flooding attacks in mobile ad hoc networks. In IEEE International Conference on Communications Workshops, pp. 1–4.
12.
13.
Yu, J., Kang, H., Park, D., Bang, H. C., & Kang, D. W. (2013). An in-depth analysis on traffic flooding attacks detection and system using data mining techniques. Journal of Systems Architecture, 59(10), 1005–1012.CrossRef
14.
Chouhan, N. S., & Yadav, S. (2011). Flooding attacks prevention in MANET. International Journal of Computer Technology and Electronics Engineering (IJCTEE), 1(3), 68–72.
15.
Roshan, K., Prasad, K. R., Upadhayaya, N., & Govardhan, A. (2012). New-fangled method against data flooding attacks in MANET. International Journal of Computer Science & Information Technology (IJCSIT), 4(3), 25.CrossRef
16.
S. Hakak, S., Anwar, F., Latif, S. A., Gilkar, G., & Alam, M. K. (2014). Impact of packet size and node mobility pause time on average end to end delay and jitter in MANET’s. In IEEE International Conference on Computer and Communication Engineering.
17.
Kumar, S., Alaria, S., & Kumar, V. (2015). Prevention in sleep deprivation attack in MANET. International Journal of Latest Technology in Engineering (IJLTEMAS), 4(2), 139–144.
18.
Bhalodiya, S., & Vaghela, K. (2015). Enhanced detection and recovery from fooding attack in MANETs using AODV routing protocol. International Journal of Computer Applications, 125(4), 10–15.CrossRef
19.
Jatthap, S., & Dashore, P. (2016). Battery capacity based detection and prevention of fooding attack on MANET. In International Journal of Advance Research in Computer Science and Management Studies (IJARCSMS), 4(9), 89–99.
20.
Rao, D. S., & Padmanabhuni, V. (2016). An efcient RREQ fooding attack avoidance technique for adaptive wireless network. International Journal of Applied Engineering Research (IJAER), 11(5), 3696–3702.
21.
Pandikumar, T., & Desta, H. (2017). RREQ fooding attack mitigation in MANET using dynamic profle based technique. In International Journal of Engineering Science and Computing (IJESC), 7(6), 12700–12705.
22.
Vimal, V., & Nigam, M. J., (2017). Plummeting food based distributed-DoS attack to upsurge networks performance in ad-hoc networks using neighborhood table technique. In Proceedings of the 2017 IEEE Region 10 Conference, pp. 139–144.
23.
Gurung, S., & Chauhan, S. (2017). A novel approach for mitigating route request fooding attack in MANET. Wireless Networks, 23(4), 1–16.
24.
Nithya, B., Nair, A., & Sreelakshmi, A. S. (2018). Detection of RREQ flooding attacks in MANETs data and communication networks (pp. 109–121). Singapore: Springer.
25.
26.
Mohammadi, P., & Ghafari, A. (2019). Defending against flooding attacks in mobile ad-hoc networks based on statistical analysis. Wireless Personal Communications, 106, 365–376.CrossRef
27.
Sbai, O., & Elboukhari, M. (2020). Data flooding intrusion detection system for MANETs using deep learning approach. In Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications, pp 1–5.
28.
Singh, G., & Joshi, G. (2021). A novel statistical adhoc on-demand distance vector routing protocol technique is using for preventing the mobile adhoc network from flooding attack. Turkish Journal of Turkish Journal of Computer and Mathematics Education, 12(6), 1753–1765.
29.
Nishanth, N., & Mujeeb, A. (2021). Modeling and detection of flooding-based denial of service attacks in wireless ad hoc networks using uncertain reasoning. IEEE Transactions on Cognitive Communications and Networking, 7(3), 893–904.CrossRef
30.
31.
32.
Metadata
Title
AFA: Anti-Flooding Attack Scheme Against Flooding Attack in MANET
Authors
Vivek Mankotia
Ramesh Kumar Sunkaria
Shashi Gurung
Publication date
09-03-2023
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2023
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-023-10325-3

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