Visible to the public Towards Improved Trust in Threat Intelligence Sharing using Blockchain and Trusted Computing

TitleTowards Improved Trust in Threat Intelligence Sharing using Blockchain and Trusted Computing
Publication TypeConference Paper
Year of Publication2019
AuthorsWu, Yichang, Qiao, Yuansong, Ye, Yuhang, Lee, Brian
Conference Name2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS)
Date Publishedoct
Keywordsblockchain, cryptography, cyber security, cybersecurity attacks, data integrity, data privacy, Data security, decentralized blockchain, decentralized sharing, Distributed databases, human factors, Metrics, open trust issues, P2P reputation systems, peer to peer security, Peer-to-peer computing, pubcrawl, reputation, Resiliency, Scalability, sharing architectures, sharing effectiveness, TEE, Threat intelligence sharing, trust enhancement framework -TITAN, Trusted Computing
AbstractThreat intelligence sharing is posited as an important aid to help counter cybersecurity attacks and a number of threat intelligence sharing communities exist. There is a general consensus that many challenges remain to be overcome to achieve fully effective sharing, including concerns about privacy, negative publicity, policy/legal issues and expense of sharing, amongst others. One recent trend undertaken to address this is the use of decentralized blockchain based sharing architectures. However while these platforms can help increase sharing effectiveness they do not fully address all of the above challenges. In particular, issues around trust are not satisfactorily solved by current approaches. In this paper, we describe a novel trust enhancement framework -TITAN- for decentralized sharing based on the use of P2P reputation systems to address open trust issues. Our design uses blockchain and Trusted Execution Environment technologies to ensure security, integrity and privacy in the operation of the threat intelligence sharing reputation system.
DOI10.1109/IOTSMS48152.2019.8939192
Citation Keywu_towards_2019