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Author:

Zardari, Zulfiqar Ali (Zardari, Zulfiqar Ali.) | He, Jingsha (He, Jingsha.) (Scholars:何泾沙) | Zhu, Nafei (Zhu, Nafei.) | Mohammadani, Khalid Hussain (Mohammadani, Khalid Hussain.) | Pathan, Muhammad Salman (Pathan, Muhammad Salman.) | Hussain, Muhammad Iftikhar (Hussain, Muhammad Iftikhar.) | Memon, Muhammad Qasim (Memon, Muhammad Qasim.)

Indexed by:

EI Scopus

Abstract:

A mobile ad-hoc network (MANET) is a temporary network of wireless mobile nodes. In a MANET, it is assumed that all of the nodes cooperate with each other to transfer data packets in a multi-hop fashion. However, some malicious nodes don't cooperate with other nodes and disturb the network through false routing information. In this paper, we propose a prominent technique, called dual attack detection for black and gray hole attacks (DDBG), for MANETs. The proposed DDBG technique selects the intrusion detection system (IDS) node using the connected dominating set (CDS) technique with two additional features; the energy and its nonexistence in the blacklist are also checked before putting the nodes into the IDS set. The CDS is an effective, distinguished, and localized approach for detecting nearly-connected dominating sets of nodes in a small range in mobile ad hoc networks. The selected IDS nodes broadcast a kind of status packet within a size of the dominating set for retrieving the complete behavioral information from their nodes. Later, IDS nodes use our DDBG technique to analyze the collected behavioral information to detect the malicious nodes and add them to the blacklist if the behavior of the node is suspicious. Our experimental results show that the quality of the service parameters of the proposed technique outperforms the existing routing schemes. © 2019 by the authors.

Keyword:

Mobile ad hoc networks Denial-of-service attack Mobile security Intrusion detection Mobile telecommunication systems Network security

Author Community:

  • [ 1 ] [Zardari, Zulfiqar Ali]Faculty of Information Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [He, Jingsha]Faculty of Information Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhu, Nafei]Faculty of Information Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Mohammadani, Khalid Hussain]School of Electronic Engineering, Beijing University of Posts and Telecommunications (BUPT), Beijing; 100876, China
  • [ 5 ] [Pathan, Muhammad Salman]Faculty of Information Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Hussain, Muhammad Iftikhar]Faculty of Information Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Memon, Muhammad Qasim]Advance Innovation Center for Future Education, Beijing Normal University, Beijing; 100875, China

Reprint Author's Address:

  • [zhu, nafei]faculty of information technology, beijing engineering research center for iot software and systems, beijing university of technology, beijing; 100124, china

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Source :

Future Internet

Year: 2019

Issue: 3

Volume: 11

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 52

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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