Scalable Secure Multi-party Network Vulnerability Analysis via Symbolic Optimization

Albab, Kinan Dak; Issa, Rawane; Lapets, Andrei; Bestavros, Azer; Volgushev, Nikolaj

doi:10.1109/spw.2017.21

Cited by 2 publications

(1 citation statement)

References 19 publications

(21 reference statements)

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“…Using SMPC over web service should satisfy some goals like better adoption (comprehensibility), code available open-source (transparency), no special hardware or software requirements (easy-deployment), valid input checking, among others [110]. Some authors have used SMPC to integrate with hybrid networks [111], and others for vulnerability analysis [112]. Table 7 gives the detailed comparison of existing approaches in Secure Multi-Party Computation with reference to parameters such as-BC, cryptography, healthcare, cloud, Research challenges, pros, and cons of the existing approaches.…”

Section: B Secure Multi-party Computationmentioning

confidence: 99%

Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges

et al. 2020

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Applications of Blockchain (BC) technology and Cyber-Physical Systems (CPS) are increasing exponentially. However, framing resilient and correct smart contracts (SCs) for these smart application is a quite challenging task because of the complexity associated with them. SC is modernizing the traditional industrial, technical, and business processes. It is self-executable, self-verifiable, and embedded into the BC that eliminates the need for trusted third-party systems, which ultimately saves administration as well as service costs. It also improves system efficiency and reduces the associated security risks. However, SCs are well encouraging the new technological reforms in Industry 4.0, but still, various security and privacy challenges need to be addressed. In this paper, a survey on SC security vulnerabilities in the software code that can be easily hacked by a malicious user or may compromise the entire BC network is presented. As per the literature, the challenges related to SC security and privacy are not explored much by the authors around the world. From the existing proposals, it has been observed that designing a complex SCs cannot mitigate its privacy and security issues. So, this paper investigates various Artificial Intelligence (AI) techniques and tools for SC privacy protection. Then, open issues and challenges for AI-based SC are analyzed. Finally, a case study of retail marketing is presented, which uses AI and SC to preserve its security and privacy.

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Section: B Secure Multi-party Computationmentioning

confidence: 99%