Visible to the public Insider Threat Data Expansion Research using Hyperledger Fabric

TitleInsider Threat Data Expansion Research using Hyperledger Fabric
Publication TypeConference Paper
Year of Publication2022
AuthorsYoon, Wonseok, Chang, Hangbae
Conference Name2022 International Conference on Platform Technology and Service (PlatCon)
KeywordsBehavioral sciences, blockchain, blockchains, Companies, distributed ledger, Fabrics, Human Behavior, human factors, Hyperledger Fabric, insider threat, Insider Threat Dataset, insider threats, Metrics, Policy Based Governance, policy-based governance, pubcrawl, Real-time Systems, resilience, Resiliency, smart contract, smart contracts
AbstractThis paper deals with how to implement a system that extends insider threat behavior data using private blockchain technology to overcome the limitations of insider threat datasets. Currently, insider threat data is completely undetectable in existing datasets for new methods of insider threat due to the lack of insider threat scenarios and abstracted event behavior. Also, depending on the size of the company, it was difficult to secure a sample of data with the limit of a small number of leaks among many general users in other organizations. In this study, we consider insiders who pose a threat to all businesses as public enemies. In addition, we proposed a system that can use a private blockchain to expand insider threat behavior data between network participants in real-time to ensure reliability and transparency.
DOI10.1109/PlatCon55845.2022.9932102
Citation Keyyoon_insider_2022