Privacy Petri Net and Privacy Leak Software

Privacy Petri Net and Privacy Leak Software

Private information leak behavior has been widely discovered in malware and suspicious applications. We refer to such software as privacy leak software （PLS）. Nowadays, PLS has become a serious and challenging problem to cyber security. Previous methodologies are of two categories： one focuses on th...

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Bibliographic Details
Published in:Journal of computer science and technology Vol. 30; no. 6; pp. 1318 - 1343
Main Author: 范乐君 王元卓 李静远 程学旗 林闯
Format: Journal Article
Language:English
Published: New York Springer US 01-11-2015
Springer Nature B.V
National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China%Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China%Department of Computer Science and Technology, Tsinghua University, Beijing 100083, China
Subjects:
Artificial Intelligence
Behavior
Categories
Communications traffic
Computer information security
Computer programs
Computer Science
Computer simulation
Computers
Cybersecurity
Data Structures and Information Theory
Information flow
Information Systems Applications (incl.Internet)
Insider trading
Leaking of information
Leaks
Malware
Petri nets
Petri网
Privacy
R&D
Regular Paper
Research & development
Software
Software Engineering
Theory of Computation
信息泄漏
信息泄露
应用程序
恶意软件
现实世界
网络安全问题
隐私
privacy Petri net
malware analysis
privacy leak software
private information
privacy function
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Description
Summary:Private information leak behavior has been widely discovered in malware and suspicious applications. We refer to such software as privacy leak software （PLS）. Nowadays, PLS has become a serious and challenging problem to cyber security. Previous methodologies are of two categories： one focuses on the outbound network traffic of the applications; the other dives into the inside information flow of the applications. We present an abstract model called Privacy Petri Net （PPN） which is more applicable to various applications and more intuitive and vivid to users. We apply our approach to both malware and suspicious applications in real world. The experimental result shows that our approach can effectively find categories, content, procedure, destination and severity of the private information leaks for the target software.
Bibliography:privacy Petri net, privacy leak software, privacy function, private information, malware analysis
11-2296/TP
Private information leak behavior has been widely discovered in malware and suspicious applications. We refer to such software as privacy leak software （PLS）. Nowadays, PLS has become a serious and challenging problem to cyber security. Previous methodologies are of two categories： one focuses on the outbound network traffic of the applications; the other dives into the inside information flow of the applications. We present an abstract model called Privacy Petri Net （PPN） which is more applicable to various applications and more intuitive and vivid to users. We apply our approach to both malware and suspicious applications in real world. The experimental result shows that our approach can effectively find categories, content, procedure, destination and severity of the private information leaks for the target software.
Le-Jun Fan,Yuan-Zhuo Wang, Jing-Yuan Li, Xue-Qi Cheng,Chuang Lin（1. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China; 2.Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; 3.Department of Computer Science and Technology, Tsinghua University, Beijing 100083, China）
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-015-1601-7