SVM Based DDoS Attack Detection in IoT Using Iot-23 Botnet Dataset

Author:

Nanthiya D.1,Keerthika P.2,Gopal S.B.3,Kayalvizhi S.B.4,Raja T.5,Priya R. Snega3

Affiliation:

1. Kongu Engineering College,Department of Computer Technology-UG,Erode,India

2. Kongu Engineering College,Department of Computer Science and Engineering,Erode,India

3. Kongu Engineering College,Department of Electronics and Communication Engineering,Erode,India

4. Vivekanandha College of Engineering,Department of Electrical and Electronics Engineering,Namakkal,India

5. Vivekanandha College of Engineering,Department of Electronics and Communication Engineering,Namakkal,India

Publisher

IEEE

Reference12 articles.

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using Machine Learning Multiclass Classification Technique to Detect IoT Attacks in Real Time;Sensors;2024-07-12

2. Understanding IoT-23 Dataset: A Benchmark for IoT Security Analysis;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

3. Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques;Sensors;2024-06-01

4. Fuzzy Logic Supported Tracking of Elderly People Moving Away From Living Space;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

5. Detection of Distributed Denial of Service in the Application Layer of Iot Using Machine Learning;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

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