The purpose of this project is to develop an artificial intelligence to classify possible DDoS attacks in an SDN network. This will be done by using data collectors such as Telegraf, Mininet to emulate the SDN network, and InfluxDB and Grafana as a means to store data and visualize it respe...
Analysis of DDoS attack in SDN Environments using miniedit and pox controller python ddos-detection ddos-attack sdn-environments Updated Jun 11, 2018 Python blueskychan-dev / DDoSPacket Star 44 Code Issues Pull requests Use own Phone to DoS Attack without Termux! (Android 5.1+) ddos csh...
The experimentation is done on the KDD cup 99 dataset and the experimental analysis proves that the proposed model generates a better result which is 90.06% in mitigation analysis and the overall performance analysis of the proposed model on DDoS Attack Detection is 96% better than conventional ...
Enhancing SDN resilience against DDoS attacks through dynamic virtual controller deployment and attack level detection algorithm. Int. j. inf. tecnol. 16, 4701–4712 (2024). https://doi.org/10.1007/s41870-024-02064-w Download citation Received05 April 2024 Accepted04 July 2024 Published02 August...
Later, they proposed an entropy-based lightweight DDoS flooding attack detection model running in the OF edge switch. This achieved distributed anomaly detection in SDN and reduced the flow collection overload to the controller. Also, the detailed algorithm was provided for a small calculation over...
In this paper, we propose the design of SDN based detection for DDoS attack. In this propose system design, we use Advanced Support Vector Machine (ASVM) algorithm in order to detect DDoS attack. With the advantage of ASVM, it can significantly reduce the testing time as well as training...
In March 2018, GitHub, a well-known code-hosting website, suffered from the most serious DDoS attack ever with 1.35 Tbps peak traffic. This attack suddenly interrupted network services to cause huge economic losses. DDoS attacks are regarded as the most critical threat to the operation of ...
2.2. Use of AI for DoS/DDoS Attack Detection in the Context of IoT The growth of IoT devices has created a slew of security issues, including the potential for DoS and DDoS assaults. Traditional firewalls, intrusion detection systems (IDS), and intrusion prevention systems (IPS) cannot guard...
Detection of DDoS Attack Using SDN in IoT: A SurveyIOT: Internet of Things is a developing technique, it is the system of vehicles, home apparatuses, physical gadgets, and different things installed with hardware, programming, sensors, actuators, and system availability which empower these items ...
Sahoo, K.S., Puthal, D., Tiwary, M., Rodrigues, J.J., Sahoo, B., Dash, R.: An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics. Futur. Gener. Comput. Syst. 89, 685–697 (2018) Article Google Scholar Download references...