A Chinese Perspective on Public Cyber Attribution

Public cyber attribution has gone far beyond a technical issue and has escalated into political warfare. Nowadays, various attributors (government agencies, tech companies, and consulting firms) are publishing attribution reports for many purposes, creating confusion in attribution operations. When...

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Bibliographic Details
Main Authors: Chuanying Lu, Luyao Zhang
Format: Article
Language:English
Published: World Century Publishing Corporation 2022-01-01
Series:China Quarterly of International Strategic Studies
Subjects:
Online Access:https://www.worldscientific.com/doi/10.1142/S2377740022500026
Description
Summary:Public cyber attribution has gone far beyond a technical issue and has escalated into political warfare. Nowadays, various attributors (government agencies, tech companies, and consulting firms) are publishing attribution reports for many purposes, creating confusion in attribution operations. When it comes to attribution disputes between China and the United States, things are more complicated. Public attribution carried out by the United States against China not only deviates from reasonable range and track but also causes a great negative impact on the US–China cyber interactions. On the one hand, this problem is due to the perceptional differences between the two countries on public attribution. On the other hand, it is also due to the dislocation of attribution procedures. Also, deliberate intervention at the political level cannot be ignored. Building political confidence, achieving mutual understanding of procedures, and bridging perceptional gaps in public attribution have become key steps toward closer Sino-US cooperation in cyberspace. Washington and Beijing need to reconsider the effectiveness of public attribution and its wider implications for bilateral relations, take cautious, responsible, and mutually agreed public attribution operations, establish a regime within the United Nations framework, and increase dialogue and communication on public attribution.
ISSN:2377-7400
2377-7419