Article A Convolutional Neural Network for Improved Anomaly-Based Ne...

Hello Thirukkumar

Deep learning methods such as CNN, LSTMs, RNNs, RBFNs ….etc. could be used to detect security issues like

1. Security and privacy in online advertising ( Ad Fraud, Ad injection …. )

2. DDoS Flooding attack detection

a. Network/ Transport Level DDoS Flooding Attacks

i. Normal flooding attacks UDP flood, ICMP flood, DNS flood, VoIP flood,)

ii. Protocol exploitation flooding attacks

iii. Reflection-based flooding attacks

iv. Amplification-based flooding attacks

b. Application Level DDoS Flooding Attacks

i. Reflection/Amplification based flooding attacks

ii. HTTP flooding attacks

iii. ….

3. Botnet -Based attacks ……..

a. IRC-based Botnets

b. HTTP based Botnet

c. P2P Botnet based attacks

d. SMS-P2P Botnet attacks

e. …………

Hapuarachchige Don Nelaka Shayamal Priyankara , Thank you very much sir for your key points regarding my question.

Md Babul Islam , Thank you very much.

Dear Varatharasasarma Thirukkumar,

I have included some literature sources on the subject of "Anomaly Detection in SDN". I hope these literature sources can help you.

Best regards and good luck

Anatol Badach

Daojing He, Sammy Chan, Xiejun Ni, Mohsen Guizani: Software-Defined-Networking-Enabled Traffic Anomaly Detection and Mitigation; IEEE Internet of Things Journal, Vol. 4, Issue 6, Dec 2017

https://ieeexplore.ieee.org/abstract/document/7902104

Junfeng Xie, F. Richard Yu, Tao Huang; Renchao Xie, Jiang Liu, Chenmeng Wang, Yunjie Liu: "A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges", IEEE Communications Surveys & Tutorials, Vol. 21, Issue 1, Firstquarter 2019, DOI: 10.1109/COMST.2018.2866942

https://ieeexplore.ieee.org/document/8444669

Li-Der Chou, Chien-Chang Liu , Meng-Sheng Lai , Kai-Cheng Chiu, et al.: „Behavior Anomaly Detection in SDN Control Plane: A Case Study of Topology Discovery Attacks“; Hindawi Wireless Communications and Mobile Computing, Vol 2020, Article ID 8898949, Nov 2020; DOI: 10.1155/2020/8898949

https://www.hindawi.com/journals/wcmc/2020/8898949

Trung V. Phan, Tri Gia Nguyen, Nhu-Ngoc Dao, Truong Thu Huong, Nguyen Huu Thanh, Thomas Bauschert: „DeepGuard: Efficient Anomaly Detection in SDN With Fine-Grained Traffic Flow Monitoring“; IEEE Transactions on Network and Service Management, Vol. 17, Issue 3, Sep 2020; DOI: 10.1109/TNSM.2020.3004415

https://ieeexplore.ieee.org/abstract/document/9123430

Anatol Badach, Thank you very much for the resources you shared.