| 期刊論文| 1. | 于鵬程、戚湧、李千目(2017)。基於隨機森林分類模型的DDoS攻擊檢測方法。電腦應用研究，34(10)，3068-3072。 延伸查詢 | | 2. | Alkasassbeh, M.、Hassanat, A. B. A.、Al-Naymat, G.、Almseidin, M.(2016)。Detecting distributed denial of service attacks using data mining techniques。International Journal of Advanced Computer Science and Application，7(1)，436-445。  | | 3. | Hussain, K.、Hussain, S. J.、Dillshad, V.、Nafees, M.、Azeem, M. A.(2016)。An adaptive SYN flooding attack mitigation in DDOS environment。International Journal of Computer Science and Network Security，16(7)，27-33。 | | 4. | Kshirsagar, D.、Sawant, S.、Rathod, A.、Wathore, S.(2016)。CPU load analysis & minimization for TCP SYN flood detection。Procedia Computer Science，85，626-633。 | | 5. | Namvarasl, S.、Ahmadzadeh, M.(2014)。A dynamic flooding attack detection system based on different classification techniques and using SNMP MIB data。International Journal of Computer Networks and Communications Security，2(9)，279-284。 | | 6. | Sahi, A.、Lai, D.、Li, Y.、Diykh, M.(2017)。An efficient DDoS TCP flood attack detection and prevention system in a cloud environment。IEEE Access，5，6036-6048。 | | 7. | Somani, G.、Gaur, M. S.、Sanghi, D.、Conti, M.、Buyya, R.(2017)。DDoS attacks in cloud computing: Issues, taxonomy, and future directions。Computer Communications，107，30-48。 | | 8. | Zargar, S. T.、Joshi, J.、Tipper, D.(2013)。A survey of defense mechanisms against distributed denial of service (DDoS) flooding attacks。IEEE Communications Surveys & Tutorials，15(4)，2046-2069。 | 會議論文| 1. | Al-Hawawreh, M. S.(2017)。SYN flood attack detection in cloud environment based on TCP/IP header statistical features。The 8th IEEE International Conference on Information Technology，(會議日期: May 17, 2017)。Jordan：Al-Zaytoonah University of Jordan。236-243。 | 其他| 1. | Mell, P.，Grance, T.(2011)。The NIST Definition of Cloud Computing，https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf。 | | 2. | Alkasassbeh, M.，Hassanat, A. B. A.，Al-Naymat, G.，Almseidin, M.(2016)。Dataset-detecting distributed denial of service attacks using data mining techniques，https://www.researchgate.net/publication/292967044_Dataset-Detecting_Distributed_Denial_of_Service_Attacks_Using_Data_Mining_Techniques。 | | 3. | Brownlee, J.(2014)。Feature selection to improve accuracy and decrease training time，https://machinelearningmastery.com/feature-selection-to-improve-accuracy-anddecrease-training-time/。 | | 4. | JavaPipe(2018)。35 types of DDoS attacks explained，https://javapipe.com/ddos/blog/ddos-types/。 | | 5. | TechRepublic(2018)。GitHub hit with massive 1.35 Tbps DDoS attack, could be world's largest，https://www.techrepublic.com/article/github-hit-with –massive-1-35-tbps-ddos-attack-could-be-worlds-largest/。 | |