Countermeasure to Black Hole Attack in MANET Wireless Network Security
Bahaa Kareem Mohammed1,*, Hayder Najm2, Mohammed Salih Mahdi3 Riyadh Rahef Nuiaa Alogaili4, Waleed Khaled 5
1Department of Cybersecurity Techniques, Technical Institute-Kut, Middle Technical University, Baghdad, Iraq
2Department of Computer Techniques Engineering, Imam Alkadhim University College, Baghdad, Iraq
3Business Informatics College, University of Information Technology and Communications. Baghdad, Iraq
4College of Computer Science and Information Technology, Wasit University, Al-Kut, 52001, Wasit, Iraq
5 Department of Medical Instruments Engineering Techniques, Al-Farhadi University, Jadriyah Bridge, Baghdad, 10001, Iraq
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Abstract Establishing basic network connectivity by mobile devices depends on wireless communication during infrastructure downtime. Nodes within these networks use routing protocols to send data packets between one another until the packets reach their endpoint. The protocols have security weaknesses that permit harmful nodes to stage assaults on the network. Network disruption occurs through the Black Hole Attack, which blocks all data packets from getting to their destinations by intercepting them during their transmission. Security systems that detect intruders executing these attacks protect against the security challenge. A simulated wireless ad-hoc network scenario is the basis for assessing how well response systems fight against the Black Hole attack. In this paper, the Anti-Black Hole Ad hoc On-Demand Distance Vector (ABAODV) is the proposed solution to combat the Black Hole attack effects. During the experiments, ABAODV's modified AODV version and standard AODV protocol underwent performance measurements through throughput, Packet Delivery Fraction (PDF), Average End-to-End Delay (AED), and Normalized Routing Load (NRL) while operating in Black Hole attack environments and without such attacks. Through its NS-2 implementation, ABAODV achieved 99% effectiveness in combating the Black Hole attack. The entire simulation was conducted on a Linux platform, including mobility generation, analysis, results presentation, and NS-2 simulation. |
Emails: bahaa.karim@mtu.edu.iq; haidernajem@iku.edu.iq; mohammed.salih@uoitc.edu.iq; riyadh@uowasit.edu.iq; waleedki@yahoo.com
Received: January 17, 2025 Revised: March 14, 2025 Accepted: May 25, 2025
Keywords: Data Security; Wireless Network Security; AODV; ABAODV; Black Hole Attack; MANET
1. Introduction