Cloud Storage Defense Against Advanced Persistent Threats: A Prospect Theoretic Study

IEEE Journal on Selected Areas in Communications

Volumn 35, Issue 3, 2017, Pages 534-544

  Xiao, Liang ^a,b   Xu, Dongjin ^a   Xie, Caixia ^a   Mandayam, Narayan B ^c   Poor, H Vincent ^d  

^a XIAMEN UNIVERSITY   (China)

^b University of Chinese Academy of Sciences   (China)

^c RUTGERS UNIVERSITY   (United States)

^d Princeton University   (United States)

Author keywords

advanced persistent threats; Cloud storage; game theory; prospect theory; Q learning

Indexed keywords

NETWORK SECURITY; VIRTUAL STORAGE;

ADVANCED PERSISTENT THREATS; CLOUD STORAGE SYSTEMS; CLOUD STORAGES; DEFENSE STRATEGY; EXPECTED UTILITY THEORY; NASH EQUILIBRIA; PROSPECT THEORY; Q-LEARNING;

GAME THEORY;

EID: 85018864378     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2017.2659418     Document Type: Article

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