Cluster Computing

, Volume 21, Issue 1, pp 51–63 | Cite as

Multi-level trust based intelligence intrusion detection system to detect the malicious nodes using elliptic curve cryptography in MANET

  • Opinder SinghEmail author
  • Jatinder Singh
  • Ravinder Singh


Mobile ad hoc networks (MANETs) are qualified by multi-hop wireless links and resource restrained nodes. Generally, mobile ad hoc networks (MANETs) are susceptible to various attacks like gray hole attack, black hole attack, selective packet dropping attack, Sybil attack, and flooding attack. Therefore, the wireless network should be protected using encryption, firewalls, detection schemes to identify the attackers and decreasing their impact on the network. So, it’s an essential task to design the intelligent intrusion detection system. This research work deals with designing the multilevel trust based intelligence intrusion detection system with cryptography schemes for detecting the attackers. In order to identify the attackers, we propose a novel trust management with elliptic curve cryptography (ECC) algorithm. At first, a trust manager is maintained, its functions is to classify the trust into three different sets of trust level based upon the elliptic curve cryptography and Schnorr’s signature in the MANET. Each trust level has identified a single attacker. Thus, the proposed method has detected three types of attackers such as black hole attack, flooding attack and selective packet dropping attack. Furthermore, it have provided countermeasure for these attackers in the MANET as well as improved performances. Hence, it obtains higher throughput, minimum delay, minimum packet loss and efficient end to end delivery in MANET. Thus, the proposed scheme is a secure and optimal solution to encounter attackers, which represents to be efficient and significant.


Multilevel trust based intelligent intrusion detection system Mobile ad hoc networks (MANETs) Trust management Elliptic curve cryptography (ECC) algorithm and malicious node 



Authors are highly thankful to the Department of RIC, IKG Punjab Technical University, Kapurthala, Punjab, India for providing the opportunity to conduct this research work.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.IKG PTUKapurthalaIndia

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