Real-time DDoS attack detection system using big data approach

• Main Authors: Awan, Mazhar Javed, Farooq, Umar, Babar, Hafiz Muhammad Aqeel, Yasin, Awais, Nobanee, Haitham, Hussain, Muzammil, Hakeem, Owais, Mohd. Zain, Azlan
• Format: Article
• Language: English
• Published: MDPI 2021
• Subjects: QA75 Electronic computers. Computer science; T55-55.3 Industrial Safety. Industrial Accident Prevention
• Online Access: http://eprints.utm.my/id/eprint/94583/1/AzlanMohd2021_RealTimeDDoSAttackDetection.pdf; http://eprints.utm.my/id/eprint/94583/; http://dx.doi.org/10.3390/su131910743

Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows up in various shapes and patterns, therefore it is not easy to detect and solve with previous solutions. Classification algorithms have been used in many studies and have aimed to detect and solve the DDoS attac...