Belief in information flow

被引:57
作者
Clarkson, MR [1 ]
Myers, AC [1 ]
Schneider, FB [1 ]
机构
[1] Cornell Univ, Dept Comp Sci, Ithaca, NY 14853 USA
来源
18TH IEEE COMPUTER SECURITY FOUNDATIONS WORKSHOP, PROCEEDINGS | 2005年
关键词
D O I
10.1109/CSFW.2005.10
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Information leakage traditionally has been defined to occur when uncertainty about secret data is reduced. This uncertainty-based approach is inadequate for measuring information flow when an attacker is making assumptions about secret inputs and these assumptions might be incorrect; such attacker beliefs are an unavoidable aspect of any satisfactory definition of leakage. To reason about information flow based on beliefs, a model is developed that describes how attacker beliefs change due to the attacker's observation of the execution of a probabilistic (or deterministic) program. The model leads to a new metric for quantitative information flow that measures accuracy rather than uncertainty of beliefs.
引用
收藏
页码:31 / 45
页数:15
相关论文
共 26 条
[1]  
[Anonymous], 1982, CRYPTOGRAPHY DATA SE, DOI DOI 10.5555/539308
[2]  
[Anonymous], 2000, INFORM CODING THEORY
[3]  
[Anonymous], POPL 00
[4]  
[Anonymous], 2021, Bayesian Data Analysis
[5]  
BROWNE R, 1991, S P, P375
[6]   Quantified Interference for a While Language [J].
Clark, David ;
Hunt, Sebastian ;
Malacaria, Pasquale .
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2005, 112 :149-166
[7]  
Clark David, 2004, WORKSH ISS THEOR SEC
[8]  
Cover TM, 2006, Elements of Information Theory
[9]  
Di Pierro A., 2004, Journal of Computer Security, V12, P37
[10]  
DIPIERRO A, IN PRESS THEORETICAL