Neural Computing and Applications

, Volume 31, Supplement 1, pp 15–22 | Cite as

An efficient technique for mitigating stealthy attacks using MNDA in MANET

  • D. MuruganandamEmail author
  • J. Martin Leo Manickam
S.I. : Machine Learning Applications for Self-Organized Wireless Networks


In mobile ad hoc networks, stealthy packet dropping is considered as a suite comprising four attacks, namely misrouting, control attacks, character designation and the conniving impact, that can be effectively propelled against mobile specially appointed systems. Stealthy packet dropping upsets the packets through malevolent conduct at a transitional node. This paper presents a novel stealthy assault location strategy for distinguishing packet misrouting in the constructed mobile ad hoc networks. Moreover, we propose a new algorithm called dynamic malicious node detection algorithm for identifying the stealthy attack nodes in mobile network environment. This is achieved in two stages. The first stage gathers additional information pertaining to the middle nodes and stores in a special table in the intermediate nodes. The second stage identifies the misbehaving nodes if any in a specified path. Finally, an alternate path is chosen to send the packets to fulfill the communication. Various performance criteria are evaluated for this work. The results of these analysis show that our proposed work is more efficient than the Bayesian linear model-based detection.


Mobile ad hoc networks Stealthy attack Malicious node Delay 


Compliance with ethical standards

Conflict of interest

The authors declared that they have no conflict of interest.


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Copyright information

© The Natural Computing Applications Forum 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringUniversity College of Engineering PanrutiCuddaloreIndia
  2. 2.Department of Electronics and Communication EngineeringSt. Joseph’s College of EngineeringChennaiIndia

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