Secure Multiparty Computation for Cooperative Cyber Risk Assessment

Author(s):  
Kyle Hogan ◽  
Noah Luther ◽  
Nabil Schear ◽  
Emily Shen ◽  
David Stott ◽  
...  
2013 ◽  
Vol 33 (12) ◽  
pp. 3527-3530
Author(s):  
Yongli DOU ◽  
Haichun WANG ◽  
Jian KANG

Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Pete Burnap ◽  
Omar Santos

AbstractThe Internet-of-Things (IoT) triggers data protection questions and new types of cyber risks. Cyber risk regulations for the IoT, however, are still in their infancy. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. At present, there are no self-assessment methods for quantifying IoT cyber risk posture. It is considered that IoT represent a complex system with too many uncontrollable risk states for quantitative risk assessment. To enable quantitative risk assessment of uncontrollable risk states in complex and coupled IoT systems, a new epistemological equation is designed and tested though comparative and empirical analysis. The comparative analysis is conducted on national digital strategies, followed by an empirical analysis of cyber risk assessment approaches. The results from the analysis present the current and a target state for IoT systems, followed by a transformation roadmap, describing how IoT systems can achieve the target state with a new epistemological analysis model. The new epistemological analysis approach enables the assessment of uncontrollable risk states in complex IoT systems—which begin to resemble artificial intelligence—and can be used for a quantitative self-assessment of IoT cyber risk posture.


2021 ◽  
Vol 9 (6) ◽  
pp. 565
Author(s):  
Yunja Yoo ◽  
Han-Seon Park

The International Maritime Organization (IMO) published the Guidelines on Maritime Cyber Risk Management in 2017 to strengthen cybersecurity in consideration of digitalized ships. As part of these guidelines, the IMO recommends that each flag state should integrate and manage matters regarding cyber risk in the ship safety management system (SMS) according to the International Safety Management Code (ISM Code) before the first annual verification that takes place on or after 1 January 2021. The purpose of this paper is to identify cybersecurity risk components in the maritime sector that should be managed by the SMS in 2021 and to derive priorities for vulnerability improvement plans through itemized risk assessment. To this end, qualitative risk assessment (RA) was carried out for administrative, technical, and physical security risk components based on industry and international standards, which were additionally presented in the IMO guidelines. Based on the risk matrix from the RA analysis results, a survey on improving cybersecurity vulnerabilities in the maritime sector was conducted, and the analytic hierarchy process was used to analyze the results and derive improvement plan priority measures.


2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yi Sun ◽  
Qiaoyan Wen ◽  
Yudong Zhang ◽  
Hua Zhang ◽  
Zhengping Jin

As a powerful tool in solving privacy preserving cooperative problems, secure multiparty computation is more and more popular in electronic bidding, anonymous voting, and online auction. Privacy preserving sequencing problem which is an essential link is regarded as the core issue in these applications. However, due to the difficulties of solving multiparty privacy preserving sequencing problem, related secure protocol is extremely rare. In order to break this deadlock, this paper first presents an efficient secure multiparty computation protocol for the general privacy-preserving sequencing problem based on symmetric homomorphic encryption. The result is of value not only in theory, but also in practice.


2021 ◽  
Author(s):  
Giulia Rafaiani ◽  
Massimo Battaglioni ◽  
Marco Baldi ◽  
Franco Chiaraluce ◽  
Giovanni Libertini ◽  
...  

Author(s):  
Fabrice Benhamouda ◽  
Huijia Lin ◽  
Antigoni Polychroniadou ◽  
Muthuramakrishnan Venkitasubramaniam

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