scholarly journals Static Detection of Uninitialized Stack Variables in Binary Code

2019 ◽  
pp. 68-87 ◽  
Author(s):  
Behrad Garmany ◽  
Martin Stoffel ◽  
Robert Gawlik ◽  
Thorsten Holz
Keyword(s):  
Binary Code ◽  
Static Detection

scholarly journals Scalable Static Detection of Use-After-Free Vulnerabilities in Binary Code

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 78713-78725
Author(s):  
Kailong Zhu ◽  
Yuliang Lu ◽  
Hui Huang
Keyword(s):  
Binary Code ◽  
Static Detection

Static detection of array bounds errors and null pointer dereference in Java

2009 ◽  
Vol 29 (5) ◽  
pp. 1376-1379 ◽  
Author(s):  
Bai-qiang CHEN ◽  
Tao GUO ◽  
Hui RUAN ◽  
Jun YAN
Keyword(s):  
Static Detection ◽  
Null Pointer

A program understanding approach for stripped binary code

2009 ◽  
Vol 28 (10) ◽  
pp. 2608-2612
Author(s):  
Juan-ru LI ◽  
Da-wu GU ◽  
Hai-ning LU
Keyword(s):  
Binary Code ◽  
Program Understanding

Static detection of polymorphic attack codes

2011 ◽  
Vol 30 (12) ◽  
pp. 3349-3353 ◽  
Author(s):  
Jia-xing LU ◽  
Fan GUO ◽  
Min YU
Keyword(s):  
Static Detection

scholarly journals SIGMA: A Semantic Integrated Graph Matching Approach for identifying reused functions in binary code

2015 ◽  
Vol 12 ◽  
pp. S61-S71 ◽  
Author(s):  
Saed Alrabaee ◽  
Paria Shirani ◽  
Lingyu Wang ◽  
Mourad Debbabi
Keyword(s):  
Binary Code ◽  
Graph Matching

scholarly journals Static Detection of Design Patterns in Class Diagrams

2019 ◽  
Author(s):  
Ed van Doorn ◽  
Sylvia Stuurman ◽  
Marko van Eekelen
Keyword(s):  
Design Patterns ◽  
Class Diagrams ◽  
Static Detection

Review on Trustworthy Analysis in binary code

2021 ◽  
Author(s):  
P. Karthikeyan ◽  
S.P. Anandaraj ◽  
R. Vignesh ◽  
S. Poornima
Keyword(s):  
Binary Code

scholarly journals A Modified FlowDroid Based on Chi-Square Test of Permissions

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 174
Author(s):  
Hongzhaoning Kang ◽  
Gang Liu ◽  
Zhengping Wu ◽  
Yumin Tian ◽  
Lizhi Zhang
Keyword(s):  
Detection Efficiency ◽  
False Alarms ◽  
Chi Square ◽  
Secure Storage ◽  
Chi Square Test ◽  
Complex Detection ◽  
Android Applications ◽  
Malicious Apps ◽  
Flow Detection ◽  
Static Detection

Android devices are currently widely used in many fields, such as automatic control, embedded systems, the Internet of Things and so on. At the same time, Android applications (apps) always use multiple permissions, and permissions can be abused by malicious apps that disclose users’ privacy or breach the secure storage of information. FlowDroid has been extensively studied as a novel and highly precise static taint analysis for Android applications. Aiming at the problem of complex detection and false alarms in FlowDroid, an improved static detection method based on feature permission and risk rating is proposed. Firstly, the Chi-square test is used to extract correlated permissions related to malicious apps, and mutual information is used to cluster the permissions to generate feature permission clusters. Secondly, risk calculation method based on permissions and combinations of permissions are proposed to identify dangerous data flows. Experiments show that this method can significantly improve detection efficiency while maintaining the accuracy of dangerous data flow detection.

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