Prabhu et al., 2023 - Google Patents
Detection of ddos attacks in IOT devicesPrabhu et al., 2023
- Document ID
- 12180133661472902345
- Author
- Prabhu A
- Nayak A
- Kamath H
- Publication year
- Publication venue
- 2023 International Conference on Communication, Circuits, and Systems (IC3S)
External Links
Snippet
Detection of DDoS attacks is one of the challenging tasks so that only legal users can use the proper resources. In this paper, the detection of attacks using various machine learning classifiers is discussed [1]. By utilising the three most pertinent feature selection techniques …
Classifications
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- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- H04L63/1425—Traffic logging, e.g. anomaly detection
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- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/562—Static detection
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