The proposed system utilizes three types of forecasting methods: time-series analysis, probabilistic modeling, and data mining method. By combining these ...
This paper proposes a proactive security system to forecast Distributed Denial of Service (DDoS) attacks, discusses previous studies related to intrusion ...
The proposed system utilizes three types of forecasting methods: time-series analysis, probabilistic modeling, and data mining method. By combining these ...
May 1, 2008 · The proposed system utilizes three types of forecasting methods: time-series analysis, probabilistic modeling, and data mining method. By ...
SUMMARY. Recently, cyber attacks have become a serious hindrance to the stability of Internet. These attacks exploit interconnectivity of net-.
May 1, 2008 · Hybrid Intrusion Forecasting Framework for Early Warning System. Authors. Sehun KIM; Seong-jun SHIN; Hyunwoo KIM; Ki Hoon KWON; Younggoo HAN ...
This study introduces an approach to predict future network event (normal and attack) frequencies by generating forecast models and estimating their attack ...
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Apr 16, 2024 · In this paper, a signature-based intrusion detection system has been built based on C5 classifiers, to classify packets into normal and attack categories.
Jun 27, 2022 · This paper presents a novel framework blockchain based hybrid intrusion detection system (BC-HyIDS), which uses the blockchain framework for exchanging ...
May 10, 2022 · This paper reviews 111 related studies in the period between 2012 and 2022 focusing on hybrid detection systems.