🤖 AI Summary
Blockchain interoperability has led to the loss of hundreds of millions of dollars in assets due to the absence of systematic security mechanisms. This work proposes the first five-dimensional threat taxonomy specifically tailored for cross-chain interoperability, encompassing core chain attacks, network-level attacks, interoperability-specific exploits, social engineering, and smart contract vulnerabilities. By integrating systematic threat modeling, attack surface analysis, and smart contract security evaluation methodologies, the study provides a comprehensive examination of the attack surfaces associated with each threat category. Building upon this analysis, the authors establish a structured mapping framework that links identified threats to corresponding defense strategies, yielding a formalized security guideline. This framework offers both theoretical foundations and practical guidance for designing and evaluating secure and reliable blockchain interoperability solutions.
📝 Abstract
Blockchain interoperability enables independent blockchain systems to communicate and exchange assets across heterogeneous networks. However, the lack of comprehensive security mechanisms remains a critical weakness -- one that attackers have already exploited to cause hundreds of millions of dollars in asset losses. This paper presents a systematic identification and classification of security threats facing interoperable blockchain systems, along with corresponding countermeasures for each. We organize threats into five categories: (1) core blockchain attacks, (2) network attacks, (3) interoperability-specific attacks, (4) social engineering, and (5) code vulnerabilities, with particular attention to smart contract weaknesses. For each identified threat, we analyze its attack surface and propose effective defensive strategies. The resulting taxonomy provides a structured foundation for designing and evaluating secure blockchain interoperability solutions.