Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Wireless Networks
Published in: Wireless Networks 8/2015

01-11-2015

A sequence number based bait detection scheme to thwart grayhole attack in mobile ad hoc networks

Authors: Rutvij H. Jhaveri, Narendra M. Patel

Published in: Wireless Networks | Issue 8/2015

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wireless shared medium, randomly moving nodes and multi-hop architecture make mobile ad hoc networks vulnerable to various network layer threats. Grayhole attack is such a prominent network layer threat, in which a malevolent node attempts to establish a bogus route passing through itself and performs packet forwarding misbehavior by dropping a subset of the received data packets in order to degrade the network performance. In this paper, we address this issue by proposing a heuristic approach, referred to as sequence number based bait detection scheme, which attempts to isolate malevolent nodes during route discovery process. The mechanism is incorporated with ad hoc on-demand distance vector routing protocol. Performance of the proposed scheme is compared with an existing scheme under three grayhole adversary models adopting distinct mode of operations. Simulation results under various network parameters depict that the proposed scheme improves network performance depending upon the mode of operations of the adversaries.
previous article New clustering algorithms for vehicular ad-hoc network in a highway communication environment
next article Extending the network lifetime by pre-deterministic key distribution in CCEF in wireless sensor networks

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Taheri, M., & Bagheri, M. (2014). High secure routing protocol with authentication and confidentiality increased in wireless ad hoc networks. Arabian Journal for Science and Engineering, 39(2), 1135–1145.CrossRef
2.
Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. In IEEE INFOCOM (pp. 100–110). IEEE
3.
Wang, B., Chen, X., & Chang, W. (2014). A light-weight trust-based QoS routing algorithm for ad hoc networks. Pervasive and Mobile Computing, 13, 164–180.CrossRef
4.
Chang, J. M., Tsou, P. C., Woungang, I., Chao, H. C., & Lai, C. F. (2015). Defending against collaborative attacks by malicious nodes in MANETs: A cooperative bait detection approach. Systems Journal, IEEE, 9(1), 65–75.CrossRef
5.
Rahimi, M. R., Venkatasubramanian, N., Mehrotra, S., & Vasilakos, A. V. (2012). MAPCloud: Mobile applications on an elastic and scalable 2-tier cloud architecture. In 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing (pp. 83–90). IEEE Computer Society.
6.
Karlof, C., & Wagner, D. (2003). Secure routing in wireless sensor networks: Attacks and countermeasures. Ad Hoc Networks, 1(2), 293–315.CrossRef
7.
Sanandaji, A., Jabbehdari, S., Balador, A., & Kanellopoulos, D. (2013). MAC layer misbehavior in MANETs. IETE Technical Review, 30(4), 324–335.CrossRef
8.
Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., & Leung, K. (2013). A survey on the IETF protocol suite for the internet of things: Standards, challenges, and opportunities. Wireless Communications, IEEE, 20(6), 91–98.CrossRef
9.
Xia, H., Jia, Z., Li, X., Ju, L., & Sha, E. H. M. (2013). Trust prediction and trust-based source routing in mobile ad hoc networks. Ad Hoc Networks, 11(7), 2096–2114.CrossRef
10.
Jhaveri, R. H., Patel, S. J., & Jinwala, D. C. (2012). A novel solution for grayhole attack in AODV based MANETs. In International Conference on Advances in Communication, Network and Computing (pp. 60–67). Berlin Heidelberg: Springer.
11.
Zafar, H., Zuhairi, M., Harle, D., & Andonovic, I. (2012). A survey of quality of service-aware routing approaches for mobile ad hoc networks. IETE Technical Review, 29(3), 222–227.
12.
Yang, B., Yamamoto, R., & Tanaka, Y. (2014). Dempster–Shafer evidence theory based trust management strategy against cooperative black hole attacks and gray hole attacks in MANETs. In International Conference on Advanced Communication Technology (pp. 223–232). IEEE.
13.
Attar, A., Tang, H., Vasilakos, A. V., Yu, F. R., & Leung, V. C. (2012). A survey of security challenges in cognitive radio networks: Solutions and future research directions. Proceedings of the IEEE, 100(12), 3172–3186.CrossRef
14.
Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. (2014). Security of the internet of things: Perspectives and challenges. Wireless Networks, 20(8), 2481–2501.CrossRef
15.
Fadlullah, Z. M., Taleb, T., Vasilakos, A. V., Guizani, M., & Kato, N. (2010). DTRAB: Combating against attacks on encrypted protocols through traffic-feature analysis. IEEE/ACM Transactions on Networking (TON), 18(4), 1234–1247.CrossRef
16.
Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed data aggregation for energy efficient wireless sensor networks. In 8th Annual IEEE Communications society conference on Sensor, mesh and ad hoc communications and networks (SECON) (pp. 46–54). IEEE.
17.
Jhaveri, R. H., Patel, A. D., & Dangarwala, K. J. (2012). Comprehensive study of various DoS attacks and defense approaches in MANETs. In International Conference on Emerging Trends in Science, Engineering and Technology (pp. 25–31). IEEE.
18.
Zhang, X., Zhou, F., Zhu, X., Sun, H., Perrig, A., Vasilakos, A. V., & Guan, H. (2014). DFL: Secure and practical fault localization for datacenter networks. IEEE/ACM Transactions on Networking, 22(4), 1218–1231.CrossRef
19.
Mohanapriya, M., & Krishnamurthi, I. (2014). Modified DSR protocol for detection and removal of selective black hole attack in MANET. Computers & Electrical Engineering, 40(2), 530–538.CrossRef
20.
Shila, D. M., Cheng, Y., & Anjali, T. (2009). Channel-aware detection of gray hole attacks in wireless mesh networks. In Global Telecommunications Conference (pp. 1–6). IEEE.
21.
Sen, J., Chandra, M. G., Harihara, S. G., Reddy, H., & Balamuralidhar, P. (2007). A mechanism for detection of gray hole attack in mobile ad hoc networks. In 6th International Conference on Information, Communications & Signal Processing (pp. 1–5). IEEE.
22.
Mamatha, G. S., & Sharma, S. C. (2010). A robust approach to detect and prevent network layer attacks in MANETS. International Journal of Computer Science and Security, 4(3), 275–284.
23.
Yang, H., Zhang, Y., Zhou, Y., Fu, X., Liu, H., & Vasilakos, A. V. (2014). Provably secure three-party authenticated key agreement protocol using smart cards. Computer Networks, 58, 29–38.CrossRef
24.
Wei, L., Zhu, H., Cao, Z., Jia, W., & Vasilakos, A. V. (2010). Seccloud: Bridging secure storage and computation in cloud. In IEEE 30th International Conference on Distributed Computing Systems Workshops (pp. 52–61). IEEE.
25.
Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., & Vasilakos, A. V. (2014). Security and privacy for storage and computation in cloud computing. Information Sciences, 258, 371–386.CrossRef
26.
Zhang, Z., Wang, H., Vasilakos, A. V., & Fang, H. (2012). ECG-cryptography and authentication in body area networks. IEEE Transactions on Information Technology in Biomedicine, 16(6), 1070–1078.CrossRef
27.
Perkins, C., Belding-Royer, E., & Das, S. (2003). RFC 3561-ad hoc on-demand distance vector (AODV) routing. In Internet RFCs, pp. 1–38.
28.
Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for internet of things. Journal of Network and Computer Applications, 42, 120–134.CrossRef
29.
He, D., Chen, C., Chan, S., Bu, J., & Vasilakos, A. V. (2012). ReTrust: Attack-resistant and lightweight trust management for medical sensor networks. IEEE Transactions on Information Technology in Biomedicine, 16(4), 623–632.CrossRef
30.
Hiremani, V. A., & Jadhao, M. M. (2013). Eliminating co-operative blackhole and grayhole attacks using modified EDRI table in MANET. In International Conference on Green Computing, Communication and Conservation of Energy (pp. 944–948). IEEE.
31.
Bindra, G. S., Kapoor, A., Narang, A., & Agrawal, A. (2012). Detection and removal of co-operative blackhole and grayhole attacks in MANETs. In IEEE International Conference on System Engineering and Technology (pp. 1–5). IEEE.
32.
Zhou, L., Chao, H. C., & Vasilakos, A. V. (2011). Joint forensics-scheduling strategy for delay-sensitive multimedia applications over heterogeneous networks. IEEE Journal on Selected Areas in Communications, 29(7), 1358–1367.CrossRef
33.
Khattak, H., Nizamuddin, N., Khurshid, F., & Amin, N. (2013). Preventing black and gray hole attacks in AODV using optimal path routing and hash. In 10th IEEE International Conference on Networking, Sensing and Control (pp. 645–648). IEEE.
34.
Jhaveri, R. H. (2013). MR-AODV: A solution to mitigate blackhole and grayhole attacks in AODV based MANETs. In Proceeding of International Conference on Advanced Computing & Communication Technologies (pp. 254–260). IEEE.
35.
Jhaveri, R. H., Patel, S. J., & Jinwala, D. C. (2012). Improving route discovery for AODV to prevent blackhole and grayhole attacks in MANETs. INFOCOMP Journal of Computer Science, 11(1), 1–12.
36.
Jhaveri, R. H. (2013). Reliable approach to prevent blackhole and grayholes attacks in mobile ad hoc networks. In H. F. Rashvand & H. C. Chao (Eds.), Dynamic ad hoc networks (pp. 261–280). UK: IET.
37.
Dhane, A., & Sharma, S. (2008). Modeling and analysis of sequence number attack and its detection in AODV. In 16th IEEE International Conference on Networks (pp. 1–6). IEEE.
38.
Patel, A. D., & Chawda, K. (2015). Dual security against grayhole attack in MANETs. In L. C. Jain, S. Patnaik, & N. Ichalkaranje (Eds.), Intelligent computing, communication and devices (pp. 33–37). India: Springer.
39.
Metadata
Title
A sequence number based bait detection scheme to thwart grayhole attack in mobile ad hoc networks
Authors
Rutvij H. Jhaveri
Narendra M. Patel
Publication date
01-11-2015
Publisher
Springer US
Published in
Wireless Networks / Issue 8/2015
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-015-0945-9

Other articles of this Issue 8/2015

Wireless Networks 8/2015 Go to the issue

OriginalPaper

A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges

OriginalPaper

New clustering algorithms for vehicular ad-hoc network in a highway communication environment

OriginalPaper

A two-stage game for allocating channels and radios to links in wireless backhaul networks

OriginalPaper

Capacity and delay-throughput tradeoff in ICMNs with Poisson contact process

OriginalPaper

Radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks

OriginalPaper

Cooperative and cognitive wireless networks for train control systems