iShare: Blockchain-Based Privacy-Aware Multi-Agent Information Sharing Games for Cybersecurity
Abstract
In this paper, we design, develop, and evaluate a novel information sharing (iShare) framework for cybersecurity with the goal of protecting confidential information and networked infrastructures from future cyber-attacks. The proposed iShare framework leverages the Blockchain concept used in Bitcoin systems where multiple organizations/agencies participate for information sharing (without violating their privacy) to secure and monitor their cyberspace. Note that the Bitcoin for financial transactions has already demonstrated that there is a trusted, auditable sharing with peer-to-peer communications accompanied by a public ledger. The main aim of the Blockchain-based iShare framework is to constantly collect high-resolution, cyber-attack information across organizational boundaries of which the organizations have no specific knowledge or control over any other organizations' data or damage caused by cyber-attacks. In the proposed iShare framework, the decentralized nature of the Blockchain and digitally signed transactions ensure that an adversary cannot pose as a legitimate organization/user or cannot control/hamper the system because of the digital-signatures and cannot learn anything from the public ledger that has just hashed pointers. Moreover, we analyze the security attacks by outsiders (not participating in the iShare) using a Stackelberg game.
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This is essential in critical infrastructures and defense, whose data have to be stored through trusted service providers, especially in countries where data privacy and security are not guaranteed.
“This is essential in the case of critical infrastructures [34], [35] and defense [36], whose data, due to legal and privacy concerns (e.g., certain defense data are considered strategic and therefore classified), have to be stored through trusted service providers, especially in countries where data privacy and security are not guaranteed [37].”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [36]
Cites
Decentralizing Privacy: Using Blockchain to Protect Personal Data
Zyskind, G., Nathan, O., & Pentland, A. '. (2015) · 2015 IEEE Security and Privacy Workshops · doi:10.1109/spw.2015.27 · Cited by 2,617 · see citing works
Attack Detection and Identification in Cyber-Physical Systems
Pasqualetti, F., Dörfler, F., & Bullo, F. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2266831 · Cited by 2,139 · see citing works
Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0574-6 · Cited by 1,240 · see citing works
Towards an Optimized BlockChain for IoT
Dorri, A., Kanhere, S. S., & Jurdak, R. (2017) · Proceedings of the Second International Conference on Internet-of-Things Design and Implementation · doi:10.1145/3054977.3055003 · Cited by 752 · see citing works
Secure Multiparty Computation for Privacy-Preserving Data Mining
Lindell, Y., & Benny Pinkas, B. (2009) · Journal of Privacy and Confidentiality · doi:10.29012/jpc.v1i1.566 · Cited by 566 · see citing works
Denial-of-service attack-detection techniques
Carl, G., Kesidis, G., Brooks, R. R., et al. (2006) · IEEE Internet Computing · doi:10.1109/mic.2006.5 · Cited by 467 · see citing works
Information Warfare And Security
Denning, D. E. (2000) · EDPACS · doi:10.1201/1079/43255.27.9.20000301/30321.7 · Cited by 411 · see citing works
Eyal, I. (2015) · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · doi:10.1109/sp.2015.13 · Cited by 389 · see citing works
Software Defined Networking Architecture, Security and Energy Efficiency: A Survey
Rawat, D. B., & Reddy, S. R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2618874 · Cited by 373 · see citing works
Self-citationPrinciples of Health Interoperability HL7 and SNOMED
Benson, T. (2012) · Health information technology standards · doi:10.1007/978-1-4471-2801-4 · Cited by 242 · see citing works
Detection of False Data Injection Attacks in Smart Grid Communication Systems
Rawat, D. B., & Bajracharya, C. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2421935 · Cited by 240 · see citing works
Self-citationPrivacy-preserving data integration and sharing
Clifton, C., Kantarcıoğlu, M., Doan, A., Schadow, G., Vaidya, J. S., Elmagarmid, A. K., & Suciu, D. M. (2004) · ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) · doi:10.1145/1008694.1008698 · Cited by 188 · see citing works
Korzhyk, D., Yin, Z., Kiekintveld, C., et al. (2011) · Journal of Artificial Intelligence Research · doi:10.1613/jair.3269 · Cited by 145 · see citing works
A Stackelberg Network Game with a Large Number of Followers
Başar, T., & Srikant, R. (2002) · Journal of Optimization Theory and Applications · doi:10.1023/a:1021294828483 · Cited by 139 · see citing works
Principles of Health Interoperability HL7 and SNOMED
Benson, T. (2009) · Computers in health care · doi:10.1007/978-1-84882-803-2 · Cited by 123 · see citing works
Information Warfare and Security
Monitor, I. S. (2000) · Information & Security An International Journal · doi:10.11610/isij.0408 · Cited by 97 · see citing works
An evolutionary game-theoretic framework for cyber-threat information sharing
Tosh, D. K., Sengupta, S., Kamhoua, C., et al. (2015) · International Conference on Communications · doi:10.1109/icc.2015.7249499 · Cited by 71 · see citing works
Self-citationVehicular Cyber Physical Systems
Rawat, D. B., & Bajracharya, C. (2016) · Springer eBooks · doi:10.1007/978-3-319-44494-9 · Cited by 70 · see citing works
Self-citationRutkowski, A., Kadobayashi, Y., Furey, I., et al. (2010) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1880153.1880163 · Cited by 65 · see citing works
Software defined network — Architectures
Nishtha, & Sood, M. (2014) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc.2014.7030788 · Cited by 21 · see citing works
Shall we collaborate? A model to analyse the benefits of information sharingPreprint
Garrido-Pelaz, R., Gozalez-Manzano, L., & Pastrana, S. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1607.08774 · Cited by 10 · see citing works
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Yang, R., Yu, F. R., Si, P., Yang, Z., & Zhang, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2894727 · Cited by 688 · see citing works
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2019) · IEEE Access · doi:10.1109/access.2019.2908780 · Cited by 321 · see citing works
Next-generation cybersecurity through a blockchain-enabled federated cloud framework
Malomo, O. O., Rawat, D. B., & Garuba, M. (2018) · The Journal of Supercomputing · doi:10.1007/s11227-018-2385-7 · Cited by 37 · see citing works
Self-citation
- Authors
- Rawat, D. B., Njilla, L., Kwiat, K., & Kamhoua, C.
- Affiliations
- Howard University (US)
- United States Air Force Research Laboratory (US)
- United States Department of the Army (US)
- Venue
- 2018 International Conference on Computing, Networking and Communications (ICNC)
- Publisher
- IEEE
- Published
- 2018-03
- Pages
- 425-431
- ISSN
- 2325-2626 (ISSN-L)
- OpenAlex
- W2809368618
- Cited by
- 46
- References
- 21
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 10 · 2021: 6 · 2020: 7 · 2019: 10 · 2018: 1
- FWCI
- 4.71
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- 2012 International Conference on Computing, Networking and Communications (ICNC) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- blockchain, information sharing, privacy preservation, multi-agent systems, cybersecurity, digital signatures, public ledger, decentralized systems, Stackelberg game, security attacks, inter-organizational collaboration
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