I am searching a research problem related attack/anomaly detections in SDN using deep learning methods. can I get some idea?
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.
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.
- Badges
- Science topic