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Fast detection and mitigation to DDoS web attack based on access frequency

Tran T.M. Hanoi University of Science and Technology, School of Information Technology and Communication, Ha Noi, Viet Nam|
Nguyen K.-V. |

RIVF 2019 - Proceedings: 2019 IEEE-RIVF International Conference on Computing and Communication Technologies Số , năm 2019 (Tập , trang -)

DOI: 10.1109/RIVF.2019.8713762

Tài liệu thuộc danh mục: Scopus

English

Từ khóa: Digital storage; Network security; Personal computing; Access frequency; DDoS Attack; DDoS detection; Defense mechanism; Fast detections; New mechanisms; Similar pattern; WEB application; Denial-of-service attack
Tóm tắt tiếng anh
We have been investigating methods for establishing an effective, immediate defense mechanism against the DDoS attacks on Web applications via hacker botnets, in which this defense mechanism can be immediately active without preparation time, e.g. for training data, usually asked for in existing proposals. In this study, we propose a new mechanism, including new data structures and algorithms, that allow the detection and filtering of large amounts of attack packets (Web request) based on monitoring and capturing the suspect groups of source IPs that can be sending packets at similar patterns, i.e. with very high and similar frequencies. The proposed algorithm places great emphasis on reducing storage space and processing time so it is promising to be effective in real-time attack response. � 2019 IEEE.

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