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Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN)
Joint Authors
Sowah, Robert A.
Ofori-Amanfo, Kwadwo B.
Mills, Godfrey A.
Koumadi, Koudjo M.
Source
Journal of Computer Networks and Communications
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
A Mobile Ad-Hoc Network (MANET) is a convenient wireless infrastructure which presents many advantages in network settings.
With Mobile Ad-Hoc Network, there are many challenges.
These networks are more susceptible to attacks such as black hole and man-in-the-middle (MITM) than their corresponding wired networks.
This is due to the decentralized nature of their overall architecture.
In this paper, ANN classification methods in intrusion detection for MANETs were developed and used with NS2 simulation platform for attack detection, identification, blacklisting, and node reconfiguration for control of nodes attacked.
The ANN classification algorithm for intrusion detection was evaluated using several metrics.
The performance of the ANN as a predictive technique for attack detection, isolation, and reconfiguration was measured on a dataset with network-varied traffic conditions and mobility patterns for multiple attacks.
With a final detection rate of 88.235%, this work not only offered a productive and less expensive way to perform MITM attacks on simulation platforms but also identified time as a crucial factor in determining such attacks as well as isolating nodes and reconfiguring the network under attack.
This work is intended to be an opening for future malicious software time signature creation, identification, isolation, and reconfiguration to supplement existing Intrusion Detection Systems (IDSs).
American Psychological Association (APA)
Sowah, Robert A.& Ofori-Amanfo, Kwadwo B.& Mills, Godfrey A.& Koumadi, Koudjo M.. 2019. Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN). Journal of Computer Networks and Communications،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1172289
Modern Language Association (MLA)
Sowah, Robert A.…[et al.]. Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN). Journal of Computer Networks and Communications No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1172289
American Medical Association (AMA)
Sowah, Robert A.& Ofori-Amanfo, Kwadwo B.& Mills, Godfrey A.& Koumadi, Koudjo M.. Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN). Journal of Computer Networks and Communications. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1172289
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172289