Skip to main content
SpringerLink
Log in

A time stamp-based algorithm to improve security and performance of mobile ad hoc network

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Mobile ad hoc network is open medium and infrastructure-less network. Mobile ad hoc network is susceptible to various security attacks such as, black hole attack, gray hole attack, bad mouthing attack, sybil attack and worm hole attack due to open medium, infrastructure-less features and lack of in-built security. In black hole attack and gray hole attack, attacker falsely sends route reply and dropped data packets received from source node. Due to these attacks, performance of mobile ad hoc network decreases. This paper proposes a time stamp-based algorithm which is an enhanced version of existing IDSNAODV algorithm. Proposed algorithm modifies existing palling process to validate identity of observer nodes using a time stamp-based approach. Based on defined set of rules and recorded activities report, source node decides the nature of target node. The performance of proposed algorithm is evaluated using the network simulator. The proposed algorithm shows improved performance for packet delivery ratio, throughput and routing overhead as compared to existing algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Alkhamisi, A. O., & Buhari, S. M. (2016). Trusted secure adhoc on-demand multipath distance vector routing in MANET. In 30th International conference on advanced information networking and applications (AINA) (pp 212–219). IEEE.

  2. Moudni, H., Er-rouidi, M., Mouncif, H., & El Hadadi, B. (2016). Modified AODV routing protocol to improve security and performance against black hole attack. In International conference on information technology for organizations development (IT4OD) (pp. 1–7). IEEE.

  3. 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. IEEE Systems Journal, 9(1), 65–75.

    Article  Google Scholar 

  4. Shahabi, S., Ghazvini, M., & Bakhtiarian, M. (2015). A modified algorithm to improve security and performance of AODV protocol against black hole attack. Wireless Networks, 22(5), 1505–1511.

    Article  Google Scholar 

  5. Mylsamy, R., & Sankaranarayanan, S. (2016). A preference-based protocol for trust and head selection for cluster-based MANET. Wireless Personal Communications, 86(3), 1611–1627.

    Article  Google Scholar 

  6. Babu, M. R., Dian, S. M., Chelladurai, S., & Palaniappan, M. (2015). Proactive alleviation procedure to handle black hole attack and its version. The Scientific World Journal, 2015, 715820. https://doi.org/10.1155/2015/715820.

    Article  Google Scholar 

  7. Raja, K., Deivasigamani, A., & Ravi, V. (2015). A reliant certificate revocation of malicious nodes in MANETs. Wireless Personal Communications, 90(2), 435–455.

    Article  Google Scholar 

  8. Shabut, A. M., Dahal, K. P., Bista, S. K., & Awan, I. U. (2015). Recommendation based trust model with an effective defence scheme for MANETs. IEEE Transactions on Mobile Computing, 14(10), 2101–2115.

    Article  Google Scholar 

  9. Kumar, J. M. S. P. J., Kathirvel, A., Kirubakaran, N., Sivaraman, P., & Subramaniam, M. (2015). A unified approach for detecting and eliminating selfish nodes in MANETs using TBUT. EURASIP Journal on Wireless Communications and Networking, 2015(1), 1–11.

    Google Scholar 

  10. Jain, A. K., & Tokekar, V. (2015). Mitigating the effects of Black hole attacks on AODV routing protocol in Mobile Ad hoc Networks. In International conference on pervasive computing (ICPC) (pp. 1–6). IEEE.

  11. Arthur, M. P., & Kannan, K. (2016). Cross-layer based multiclass intrusion detection system for secure multicast communication of MANET in military networks. Wireless Networks, 22(3), 1035–1059.

    Article  Google Scholar 

  12. Soleimani, M. T., & Kahvand, M. (2014). Defending packet dropping attacks based on dynamic trust model in wireless ad hoc networks. In 17th mediterranean electrotechnical conference (pp. 362–366). IEEE.

  13. Kavitha, P., & Mukesh, R. (2015). To detect malicious nodes in the mobile ad-hoc networks using soft computing technique. In 2nd International conference on electronics and communication systems (ICECS) (pp. 1564–1573). IEEE.

  14. Khatawkar, S. D., & Trivedi, N. (2015). Detection of gray hole in MANET through cluster analysis. In 2nd international conference on computing for sustainable global development (INDIACom) (pp. 1752–1757). IEEE.

  15. Jhaveri, R. H., & Patel, N. M. (2015). A sequence number based bait detection scheme to thwart grayhole attack in mobile ad hoc networks. Wireless Networks, 21(8), 2781–2798.

    Article  Google Scholar 

  16. Abbas, S., Merabti, M., Llewellyn-Jones, D., & Kifayat, K. (2013). Lightweight sybil attack detection in MANETs. IEEE Systems Journal, 7(2), 236–248.

    Article  Google Scholar 

  17. Raja, K., Deivasigamani, A., & Ravi, V. (2016). A reliant certificate revocation of malicious nodes in MANETs. Wireless Personal Communications, 90(2), 435–455.

    Article  Google Scholar 

  18. Hidoussi, F., Toral-Cruz, H., Boubiche, D. E., Lakhtaria, K., Mihovska, A., & Voznak, M. (2015). Centralized IDS based on misuse detection for cluster-based wireless sensors networks. Wireless Personal Communications, 85(1), 207–224.

    Article  Google Scholar 

  19. Nishani, L., & Biba, M. (2016). Machine learning for intrusion detection in MANET: A state-of-the-art survey. Journal of Intelligent Information Systems, 46(2), 391–407.

    Article  Google Scholar 

  20. Savner, J., & Gupta, V. (2014). Clustering of mobile ad hoc networks: An approach for black hole prevention. In International conference on issues and challenges in intelligent computing techniques (ICICT) (pp. 361–365). IEEE.

  21. Raza, I., & Hussain, S. A. (2008). Identification of malicious nodes in an AODV pure ad hoc network through guard nodes. Computer Communications, 31(9), 1796–1802.

    Article  Google Scholar 

  22. Snchez-Casado, L., Maci-Fernndez, G., Garca-Teodoro, P., & Magn-Carrin, R. (2015). A model of data forwarding in MANETs for lightweight detection of malicious packet dropping. Computer Networks, 87, 44–58.

    Article  Google Scholar 

  23. Nadeem, A., & Howarth, M. P. (2014). An intrusion detection & adaptive response mechanism for MANETs. Ad Hoc Networks, 13, 368–380.

    Article  Google Scholar 

  24. Das, D., Majumder, K., & Dasgupta, A. (2015). Selfish node detection and low cost data transmission in MANET using game theory. Procedia Computer Science, 54, 92–101.

    Article  Google Scholar 

  25. Shakshuki, E. M., Kang, N., & Sheltami, T. R. (2013). EAACKa secure intrusion-detection system for MANETs. IEEE Transactions on Industrial Electronics, 60(3), 1089–1098.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India

    S. D. Ubarhande, D. D. Doye & P. S. Nalwade

Authors
  1. S. D. Ubarhande
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. D. Doye
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P. S. Nalwade
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. D. Ubarhande.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ubarhande, S.D., Doye, D.D. & Nalwade, P.S. A time stamp-based algorithm to improve security and performance of mobile ad hoc network. Wireless Netw 25, 1867–1874 (2019). https://doi.org/10.1007/s11276-017-1640-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-017-1640-9

Keywords

Search

Navigation