Abstract
Due to the high accessibility of the internet and unsecured internet-connected devices, Distributed Denial of Service attacks (DDoS) become devastating among all cyber-attacks. Attack complexity and sophistication have been increasing day by day. Many mitigation techniques and methods are available through which the risk of DDoS attacks will be reduced at a significant level. It is ideal to implement distributed solutions to mitigate DDoS attacks because of distributed nature of DDoS attacks. Many collaborators who share the same interest, participate in DDoS attack mitigation in a collaborative DDoS mitigation approach. But, creating a collaboration in a transparent, secured, and distributed way is still a challenge. Blockchain technology presents the ideology of decentralized, distributed, secured, and immutable ledger. Blockchain is an emerging technology to mitigate many cyber threats because of its fundamental characteristics like decentralization, immutability, authenticity, trust management, and integrity. In DDoS attacks mitigation, Blockchain technology is utilized in many different ways but, still in the initial phase. Due to all these characteristics of Blockchain, Blockchain become the ideal choice to create collaboration among peers. As well as it would be also useful to signalize the attack among various collaborators. Accuracy of shared IP addresses is equally important in the mitigation of DDoS Attacks and Botnet identification. IP Reputation systems are generally designed to get accurate information about IP addresses. In this paper, we present how blockchain is used collaboratively to mitigate DDoS attacks in various domains. This paper aim at providing a brief overview of DDoS mitigation strategies, the architecture of the proposed DDoS mitigation solution. This paper also discusses the integration of IP reputation scheme for Blacklisted IP addresses with Blockchain to build transparency and accuracy of data. Accurate IP addresses data would be helpful in not only DDoS Attack Mitigation but, in many attacks related to IP Addresses, identification of the Bots, Intrusion prevention system (IPS), and Intrusion detection system (IDS).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ahamed, J.N., Iyengar, N.: A review on Distributed Denial of Service (DDoS) mitigation techniques in cloud computing environment. IJSIA 10, 277–294 (2016) https://doi.org/10.14257/ijsia.2016.10.8.24
Aujla, G.S., Singh, M., Bose, A., Kumar, N., Han, G., Buyya, R.: BlockSDN: blockchain-as-a-service for software defined networking in smart city applications. IEEE Network 34, 83–91 (2020). https://doi.org/10.1109/MNET.001.1900151
Benet, J.: IPFS - Content Addressed, Versioned, P2P File System. arXiv:1407.3561 [cs]. (2014)
Bodkhe, U., et al.: Blockchain for industry 4.0: a comprehensive review. IEEE Access. 8, 79764–79800 (2020). https://doi.org/10.1109/ACCESS.2020.2988579
DDoS Mitigation Fundamentals. https://www.first.org/education/trainings. Accessed 26 Jun 2021
DDoS mitigation (2021). https://en.wikipedia.org/w/index.php?title=DDoS_mitigation&oldid=1023844160
draft-nishizuka-dots-inter-domain-mechanism-02 - Inter-organization cooperative DDoS protection mechanism. https://datatracker.ietf.org/doc/draft-nishizuka-dots-inter-domain-mechanism/. Accessed 22 Jul 2021
El Houda, Z.A., Hafid, A., Khoukhi, L.: Co-IoT: A collaborative DDoS mitigation scheme in IoT environment based on blockchain Using SDN. In: 2019 IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2019). https://doi.org/10.1109/GLOBECOM38437.2019.9013542
Houda, Z.A.E., Hafid, A.S., Khoukhi, L.: Cochain-SC: an intra- and inter-domain DDoS mitigation scheme based on blockchain using SDN and smart contract. IEEE Access. 7, 98893–98907 (2019). https://doi.org/10.1109/ACCESS.2019.2930715
Mahjabin, T., Xiao, Y., Sun, G., Jiang, W.: A survey of distributed denial-of-service attack, prevention, and mitigation techniques. Int. J. Distrib. Sens. Netw. 13, 1550147717741463 (2017). https://doi.org/10.1177/1550147717741463
Narayanan, A., Bonneau, J., Felten, E., Miller, A., Goldfeder, S.: Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction. Princeton University Press, Princeton (2016)
polygon.technology: Polygon-Ethereum’s Internet of Blockchains. https://polygon.technology/lightpaper-polygon.pdf. Accessed 25 Jan 2022
Real-time Inter-network Defense (RID). https://datatracker.ietf.org/doc/html/rfc6545, Accessed 23 Jun 2021
Riccardi, M., Oro, D., Luna, J., Cremonini, M., Vilanova, M.: A framework for financial botnet analysis. In: 2010 eCrime Researchers Summit, pp. 1–7. IEEE, Dallas (2010). https://doi.org/10.1109/ecrime.2010.5706697
Rodrigues, B., Scheid, E., Killer, C., Franco, M., Stiller, B.: Blockchain Signaling System (BloSS): cooperative signaling of distributed denial-of-service attacks. J. Netw. Syst. Manage. 28(4), 953–989 (2020). https://doi.org/10.1007/s10922-020-09559-4
Shewale, S., Deshpande, L.: Analytical Study on IP Reputation Services & Automation for Traditional Method. IJARCCE. 10, 4 (2021)
Spathoulas, G., Giachoudis, N., Damiris, G.-P., Theodoridis, G.: Collaborative blockchain-based detection of distributed denial of service attacks based on internet of things botnets. Future Internet. 11, 226 (2019). https://doi.org/10.3390/fi11110226
Steinberger, J.: Distributed DDoS Defense (2018). https://doi.org/10.3990/1.9789036545815
Hameed, S.: SDN based collaborative scheme for mitigation of DDoS Attacks. Future Internet. 10, 23 (2018). https://doi.org/10.3390/fi10030023
Usman, N., et al.: Intelligent dynamic malware detection using machine learning in IP reputation for forensics data analytics. Futur. Gener. Comput. Syst. 118, 124–141 (2021). https://doi.org/10.1016/j.future.2021.01.004
Yeh, L.-Y., Lu, P.J., Huang, S.-H., Huang, J.-L.: SOChain: a privacy-preserving DDoS data exchange service over SOC consortium blockchain. IEEE Trans. Eng. Manage. 67, 1487–1500 (2020). https://doi.org/10.1109/TEM.2020.2976113
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Patel, D., Patel, D. (2022). Collaborative Blockchain Based Distributed Denial of Service Attack Mitigation Approach with IP Reputation System. In: Rage, U.K., Goyal, V., Reddy, P.K. (eds) Database Systems for Advanced Applications. DASFAA 2022 International Workshops. DASFAA 2022. Lecture Notes in Computer Science, vol 13248. Springer, Cham. https://doi.org/10.1007/978-3-031-11217-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-11217-1_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-11216-4
Online ISBN: 978-3-031-11217-1
eBook Packages: Computer ScienceComputer Science (R0)