Anti-intrusion strategy MANET inspired by the bacterial foraging optimization algorithm
Rodney Mushininga ORCID ↗
International Journal of Research in Business and Social Science · 2023 · Vol. 12 / Issue 4 · 495-510
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 21 Oct 2026 07:22 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
Mobile ad hoc networks (MANET) are reflexivity, fast, versatile wireless networks that are particularly useful when traditional radio infrastructure is unavailable, such as during outdoor events, natural disasters, and military operations. Security may be the weakest link in a network due to its dynamic topology, which leaves it susceptible to eavesdropping, rerouting, and application modifications. More security problems with MANET exist than with its service Quality of Service (QoS). Therefore, intrusion detection, which controls the system to find further security issues, is strongly suggested. Keeping an eye out for intrusions is essential to forestall future attacks and beef up security. If a mobile node loses its power supply, it may be unable to continue forwarding packets, which depends on the structure's condition. The proposed study presents a security of trust and optimization that conserves energy methods for MANETs based on integrating the K means algorithm and Bacteria Foraging Optimization Algorithm (KBFOA). This work proposes a method for quickly and accurately determining which nodes should serve as Cluster Heads (CHs) by K means algorithm. This approach aims to choose a node with a high Sustainable Cell (SC) rate as the Header of a Cluster (HC). Each node will calculate its SC according to its unique factors, such as energy consumption, degree, remaining energy, mobility, and distance from the HC and base stations. The security of MANETs is improved by the inclusion of an algorithm in the proposed approach that detects and eliminates rogue nodes. This suggested approach will increase network stability and performance using a high-sustainable cluster head. The proposed approach will be achieved the highest reliability of clustering rate of 97%. The intended research will be accomplished Maximum security measures rate will be accomplished by 96%, the maximum rate of data transmission will be obtained of 96%, and greater efficient detection of malicious nodes ratio will be enhanced by 95%, lower energy consumption rate will be achieved by 0.09 m joules.
Keywords: {'name': 'MANET, Cluster Head (CH), Trust Ideals, Bacteria Foraging Optimization Algorithm (BFOA), Targeted Packet Release Attack'}
Authors & affiliations
Rodney Mushininga
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.1007/s11277-019-06993-9
DOI: 10.5120/ijca2019919305
DOI: 10.3390/app12031041
DOI: 10.1109/SURV.2013.050113.00191
DOI: 10.1007/s11036-019-01288-6
DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00259
DOI: 10.11591/ijece.v10i4.pp3715-3724
DOI: 10.11591/ijece.v10i4.pp3715-3724
DOI: 10.1007/s11276-017-1625-8
DOI: 10.1504/IJNVO.2016.079178
DOI: 10.1186/s13638-021-01938-y
DOI: 10.5755/j01.itc.50.1.25002
DOI: 10.3390/sym13112085
DOI: 10.1155/2021/5521713
DOI: 10.1109/ACCESS.2021.3133882
DOI: 10.1088/1742-6596/1964/4/042003
DOI: 10.18280/i2m.190510
DOI: 10.3390/electronics10151781
DOI: 10.1007/s11277-014-2165-5