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April 10, 2026International Journal of Engineering & Technology0 citationsOpen Access

A Survey On The Prediction Of Exhaustion Attacks Over Wireless Networks Using Fuzzy Cluster Means (FCM)

KBK. Abdul BasithTNT. N.Shankar

Key Points

  • The primary aim is to investigate exhaustion attacks and DDoS attacks affecting wireless networks.
  • Conducted a comprehensive survey on wireless network security threats.
  • Analyzed the effectiveness of fuzzy cluster means in predicting attacks.
  • Discussed various mitigation strategies for enhancing network security.
  • Identified key vulnerabilities in wireless networks related to exhaustion attacks.
  • Highlighted the role of increased transmission power and channel capacity in reducing noise.
  • Outlined effective strategies to prevent DDoS attacks in wireless communication.

Abstract

The transmission of digital data from source to destination over wireless networks is challenging one due to noise and interferences. The noises can be negligible one or it may be avoided by increasing the transmission power, carrier strength and channel capacity. However, the interferences like hacking the information called attacks in wireless networks are unable to be avoided. This paper proposes the survey on the exhaustion attacks and DDoS attacks in wireless networks and also discuss about the security threats and the solutions to avoid the attacks.

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Cite This Study

Basith et al. (2026) studied this question.

synapsesocial.com/papers/69d892886c1944d70ce03e9chttps://doi.org/10.14419/ijet.v7i4.6.28559
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1FCM–VSEMLA: a lightweight framework integrating fuzzy clustering and ensemble learning for denial of service attacks detection in wireless sensor networks2025
  2. 2RETRACTED: FCM–VSEMLA: a lightweight framework integrating fuzzy clustering and ensemble learning for denial of service attacks detection in wireless sensor networks2025
  3. 3Distributed Fuzzy Logic Algorithm for Cyberattack Detection and Energy Efficiency in Wireless Sensor Networks2025 · 1 citations
  4. 4Energy-efficient secure routing in wireless sensor networks using fuzzy inference clustering and attention-based multi-scale deep learning2026
  5. 5DoS attack detection and hill climbing based optimal forwarder selection2024