SDN-Honeypot Integration for DDoS Detection Scheme Using Entropy
Corresponding Author(s) : Fauzi Dwi Setiawan Sumadi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol. 5, No. 3, August 2020
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- Collaguazo Jaramillo, A., Alcivar, R., Pesantez, J., & Ponguillo, R. (2019). Cost Effective test-bed for Comparison of SDN Network and Traditional Network. 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018, 1–2. https://doi.org/10.1109/PCCC.2018.8711223
- Sumadi, F., & Chandranegara, D. (2018). Controller Based Proxy for Handling NDP in OpenFlow Network. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 4(1), 55-62. doi:https://doi.org/10.22219/kinetik.v4i1.720
- Deepa, V., Sudar, K. M., & Deepalakshmi, P. (2019). Detection of DDoS Attack on SDN Control plane using Hybrid Machine Learning Techniques. 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), Icssit, 299–303. https://doi.org/10.1109/icssit.2018.8748836
- Thomas, R. M., & James, D. (2018). DDOS detection and denial using third party application in SDN. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, 3892–3897. https://doi.org/10.1109/ICECDS.2017.8390193
- Yan, R., Xu, G., & Qin, X. J. (2017). Detect and identify DDoS attacks from flash crowd based on self-similarity and Renyi entropy. Proceedings - 2017 Chinese Automation Congress, CAC 2017, 2017-January, 7188–7194. https://doi.org/10.1109/CAC.2017.8244075
- Koay, A., Chen A., Welch I., &nK.G. Seah W. (2018). A New Multi Classifier System using Entropy-based Features in DDoS Attack Detection. (n.d.). http://10.1109/ICOIN.2018.8343104
- Daneshgadeh, S., Ahmed, T., Kemmerich, T., & Baykal, N. (2019). Detection of DDoS Attacks and Flash Events Using Shannon Entropy, KOAD and Mahalanobis Distance. Proceedings of the 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2019, 222–229. https://doi.org/10.1109/ICIN.2019.8685891
- Zhang, N., Jaafar, F., & Malik, Y. (2019). Low-Rate DoS Attack Detection Using PSD Based Entropy and Machine Learning. Proceedings - 6th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2019 and 5th IEEE International Conference on Edge Computing and Scalable Cloud, EdgeCom 2019, 59–62. https://doi.org/10.1109/CSCloud/EdgeCom.2019.00020
- Dharma, N. I. G., Muthohar, M. F., Prayuda, J. D. A., Priagung, K., & Choi, D. (2015). Time-based DDoS detection and mitigation for SDN controller. 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015, 550–553. https://doi.org/10.1109/APNOMS.2015.7275389
- Mousavi, S. M., & St-Hilaire, M. (2015). Early detection of DDoS attacks against SDN controllers. 2015 International Conference on Computing, Networking and Communications, ICNC 2015, 77–81. https://doi.org/10.1109/ICCNC.2015.7069319
- Dave, M. (2019). Defending DDoS against Software Defined Networks using Entropy. 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–5. https://doi.org/10.1109/IoT-SIU.2019.8777688
- Wafi, H., Fiade, A., Hakiem, N., & Bahaweres, R. B. (2017). Implementation of a modern security systems honeypot Honey Network on wireless networks. Proceedings - 2017 International Young Engineers Forum, YEF-ECE 2017, November, 91–96. https://doi.org/10.1109/YEF-ECE.2017.7935647
- Divyasree I R., Selvamani K. (2018). Detection of High-Rate Distributed Denial of Service Attack using Entropy Metrics in Cloud Computing Environment. (n.d.). 53–59. https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/GCC4077.pdf
- Sahoo, K. S. (2017). Detection of Control Layer DDoS Attack using Entropy metrics in SDN : An Empirical Investigation. 2017 Ninth International Conference on Advanced Computing (ICoAC), 281–286. https://doi.org/10.1109/ICoAC.2017.8441392
- Bhagat, N., & Arora, B. (2018). Intrusion detection using honeypots. PDGC 2018 - 2018 5th International Conference on Parallel, Distributed and Grid Computing, 412–417. https://doi.org/10.1109/PDGC.2018.8745761
- Pandire, P. A., & Gaikwad, V. B. (2018). Attack Detection in Cloud Virtual Environment and Prevention Using Honeypot. Proceedings of the International Conference on Inventive Research in Computing Applications, ICIRCA 2018, Icirca, 515–520. https://doi.org/10.1109/ICIRCA.2018.8597359
- Agrawal, N., & Tapaswi, S. (2017). The Performance Analysis of Honeypot Based Intrusion Detection System for Wireless Network. International Journal of Wireless Information Networks, 24(1), 14–26. https://doi.org/10.1007/s10776-016-0330-3
- Ahalawat, A., Dash, S. S., Panda, A., & Babu, K. S. (2019). Entropy Based DDoS Detection and Mitigation in OpenFlow Enabled SDN. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, 1–5. https://doi.org/10.1109/ViTECoN.2019.8899721
- Rebecchi, F., Boite, J., Nardin, P. A., Bouet, M., & Conan, V. (2019). DDoS protection with stateful software-defined networking. International Journal of Network Management, 29(1), 1–19. https://doi.org/10.1002/nem.2042
- RYU. (Online). Available: https://osrg.github.io/ryu/
- Mikrotik. (Online). Available: https://mikrotik.com/
- Scapy. (Online). Available: https://scapy.net/
- TCPreplay. (Online). Available: https://tcpreplay.appneta.com/
- Suricata. (Online). Available: https://github.com/pwnlandia/mhn/wiki/Suricata-Sensor
- Wang, R., Jia, Z., & Ju, L. (2015). An entropy-based distributed DDoS detection mechanism in software-defined networking. Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, 1, 310–317. https://doi.org/10.1109/Trustcom.2015.389
- Oshima, S., Nakashima, T., & Sueyoshi, T. (2010). Early DoS/DDoS detection method using short-term statistics. CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems, 168–173. https://doi.org/10.1109/CISIS.2010.53
- Kalkan, K., Altay, L., Gür, G., & Alagöz, F. (2018). JESS: Joint Entropy-Based DDoS Defense Scheme in SDN. IEEE Journal on Selected Areas in Communications, 36(10), 2358–2372. https://doi.org/10.1109/JSAC.2018.2869997
References
Collaguazo Jaramillo, A., Alcivar, R., Pesantez, J., & Ponguillo, R. (2019). Cost Effective test-bed for Comparison of SDN Network and Traditional Network. 2018 IEEE 37th International Performance Computing and Communications Conference, IPCCC 2018, 1–2. https://doi.org/10.1109/PCCC.2018.8711223
Sumadi, F., & Chandranegara, D. (2018). Controller Based Proxy for Handling NDP in OpenFlow Network. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 4(1), 55-62. doi:https://doi.org/10.22219/kinetik.v4i1.720
Deepa, V., Sudar, K. M., & Deepalakshmi, P. (2019). Detection of DDoS Attack on SDN Control plane using Hybrid Machine Learning Techniques. 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), Icssit, 299–303. https://doi.org/10.1109/icssit.2018.8748836
Thomas, R. M., & James, D. (2018). DDOS detection and denial using third party application in SDN. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, 3892–3897. https://doi.org/10.1109/ICECDS.2017.8390193
Yan, R., Xu, G., & Qin, X. J. (2017). Detect and identify DDoS attacks from flash crowd based on self-similarity and Renyi entropy. Proceedings - 2017 Chinese Automation Congress, CAC 2017, 2017-January, 7188–7194. https://doi.org/10.1109/CAC.2017.8244075
Koay, A., Chen A., Welch I., &nK.G. Seah W. (2018). A New Multi Classifier System using Entropy-based Features in DDoS Attack Detection. (n.d.). http://10.1109/ICOIN.2018.8343104
Daneshgadeh, S., Ahmed, T., Kemmerich, T., & Baykal, N. (2019). Detection of DDoS Attacks and Flash Events Using Shannon Entropy, KOAD and Mahalanobis Distance. Proceedings of the 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2019, 222–229. https://doi.org/10.1109/ICIN.2019.8685891
Zhang, N., Jaafar, F., & Malik, Y. (2019). Low-Rate DoS Attack Detection Using PSD Based Entropy and Machine Learning. Proceedings - 6th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2019 and 5th IEEE International Conference on Edge Computing and Scalable Cloud, EdgeCom 2019, 59–62. https://doi.org/10.1109/CSCloud/EdgeCom.2019.00020
Dharma, N. I. G., Muthohar, M. F., Prayuda, J. D. A., Priagung, K., & Choi, D. (2015). Time-based DDoS detection and mitigation for SDN controller. 17th Asia-Pacific Network Operations and Management Symposium: Managing a Very Connected World, APNOMS 2015, 550–553. https://doi.org/10.1109/APNOMS.2015.7275389
Mousavi, S. M., & St-Hilaire, M. (2015). Early detection of DDoS attacks against SDN controllers. 2015 International Conference on Computing, Networking and Communications, ICNC 2015, 77–81. https://doi.org/10.1109/ICCNC.2015.7069319
Dave, M. (2019). Defending DDoS against Software Defined Networks using Entropy. 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 1–5. https://doi.org/10.1109/IoT-SIU.2019.8777688
Wafi, H., Fiade, A., Hakiem, N., & Bahaweres, R. B. (2017). Implementation of a modern security systems honeypot Honey Network on wireless networks. Proceedings - 2017 International Young Engineers Forum, YEF-ECE 2017, November, 91–96. https://doi.org/10.1109/YEF-ECE.2017.7935647
Divyasree I R., Selvamani K. (2018). Detection of High-Rate Distributed Denial of Service Attack using Entropy Metrics in Cloud Computing Environment. (n.d.). 53–59. https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/GCC4077.pdf
Sahoo, K. S. (2017). Detection of Control Layer DDoS Attack using Entropy metrics in SDN : An Empirical Investigation. 2017 Ninth International Conference on Advanced Computing (ICoAC), 281–286. https://doi.org/10.1109/ICoAC.2017.8441392
Bhagat, N., & Arora, B. (2018). Intrusion detection using honeypots. PDGC 2018 - 2018 5th International Conference on Parallel, Distributed and Grid Computing, 412–417. https://doi.org/10.1109/PDGC.2018.8745761
Pandire, P. A., & Gaikwad, V. B. (2018). Attack Detection in Cloud Virtual Environment and Prevention Using Honeypot. Proceedings of the International Conference on Inventive Research in Computing Applications, ICIRCA 2018, Icirca, 515–520. https://doi.org/10.1109/ICIRCA.2018.8597359
Agrawal, N., & Tapaswi, S. (2017). The Performance Analysis of Honeypot Based Intrusion Detection System for Wireless Network. International Journal of Wireless Information Networks, 24(1), 14–26. https://doi.org/10.1007/s10776-016-0330-3
Ahalawat, A., Dash, S. S., Panda, A., & Babu, K. S. (2019). Entropy Based DDoS Detection and Mitigation in OpenFlow Enabled SDN. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, 1–5. https://doi.org/10.1109/ViTECoN.2019.8899721
Rebecchi, F., Boite, J., Nardin, P. A., Bouet, M., & Conan, V. (2019). DDoS protection with stateful software-defined networking. International Journal of Network Management, 29(1), 1–19. https://doi.org/10.1002/nem.2042
RYU. (Online). Available: https://osrg.github.io/ryu/
Mikrotik. (Online). Available: https://mikrotik.com/
Scapy. (Online). Available: https://scapy.net/
TCPreplay. (Online). Available: https://tcpreplay.appneta.com/
Suricata. (Online). Available: https://github.com/pwnlandia/mhn/wiki/Suricata-Sensor
Wang, R., Jia, Z., & Ju, L. (2015). An entropy-based distributed DDoS detection mechanism in software-defined networking. Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015, 1, 310–317. https://doi.org/10.1109/Trustcom.2015.389
Oshima, S., Nakashima, T., & Sueyoshi, T. (2010). Early DoS/DDoS detection method using short-term statistics. CISIS 2010 - The 4th International Conference on Complex, Intelligent and Software Intensive Systems, 168–173. https://doi.org/10.1109/CISIS.2010.53
Kalkan, K., Altay, L., Gür, G., & Alagöz, F. (2018). JESS: Joint Entropy-Based DDoS Defense Scheme in SDN. IEEE Journal on Selected Areas in Communications, 36(10), 2358–2372. https://doi.org/10.1109/JSAC.2018.2869997