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Efficient Approaches for Detecting Denial of Service (DoS) Attacks in 5g Networks: A Review

  • Unique Paper ID: 179437
  • Volume: 11
  • Issue: 12
  • PageNo: 6291-6303
  • Abstract:
  • Digital communications have been revolutionized by the deployment of 5G networks, which offer incredibly fast speeds, low latency, and the capacity to link a large number of devices. These enhancements do, however, also introduce additional security threats, particularly those associated with Distributed Denial of Service (DDoS) and Denial of Service (DoS) attacks. Both conventional and modern techniques for detecting DoS attacks in 5G environments are thoroughly examined in this paper. It examines the aspects of DoS attacks that are specific to 5G, such as the abuse of big bandwidth, widespread exposure of IoT, and protocol flaws. The study compares several detection strategies, such as rule-based, machine learning, and deep learning methods, highlighting the advantages of AI-driven solutions in terms of accuracy and flexibility. The potential for context-aware detection through network slicing is also explored. In order to address the growing complexity and dangers associated with 5G networks, the results emphasize the need for resource-efficient, scalable, and intelligent solutions.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 6291-6303

Efficient Approaches for Detecting Denial of Service (DoS) Attacks in 5g Networks: A Review

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