Results 21 to 30 of about 111,794 (251)

Binary Code Similarity Detection

open access: yes2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021
4 pages, conference ...
openaire   +2 more sources

Similar Code Detection and Elimination for Erlang Programs [PDF]

open access: yes, 2010
A well-known bad code smell in refactoring and software maintenance is duplicated code, that is the existence of code clones, which are code fragments that are identical or similar to one another. Unjustified code clones increase code size, make maintenance and comprehension more difficult, and also indicate design problems such as a lack of ...
Huiqing Li, Simon J. Thompson
openaire   +1 more source

Survey of Binary Code Similarity Detection Method [PDF]

open access: yesJisuanji kexue
Code similarity detection can be divided into two types according to the research object:source code similarity detection and binary code similarity detection,which are commonly used in scenarios such as malicious code identification,vulnerability search,
WEI Youyuan, SONG Jianhua, ZHANG Yan
doaj   +1 more source

Research on Security Detection Technology for Internet of Things Terminal Based on Firmware Code Genes

open access: yesIEEE Access, 2020
Internet of Things (IoT) terminals have firmware with heterogeneous, closed-source, and heavy business but light security characteristics, whereas on the edge, there are limited resources and a high code reuse rate.
Xinbing Zhu   +4 more
doaj   +1 more source

Classification feature sets for source code plagiarism detection in Java

open access: yesJournal of Engineering and Applied Science, 2022
In programming learning environments, the pressure of delivering many programming assignments makes plagiarism the easiest solution. This highly threatens the learning process; therefore, the need of an automatic, fast, and accurate detection of source ...
Eman Hosam   +3 more
doaj   +1 more source

Unleashing the power of pseudo-code for binary code similarity analysis

open access: yesCybersecurity, 2022
Code similarity analysis has become more popular due to its significant applicantions, including vulnerability detection, malware detection, and patch analysis. Since the source code of the software is difficult to obtain under most circumstances, binary-
Weiwei Zhang   +3 more
doaj   +1 more source

Retrieving similar code fragments based on identifier similarity for defect detection [PDF]

open access: yesProceedings of the 2008 workshop on Defects in large software systems, 2008
Similar source code fragments, known as code clones, may involve similar defects caused by the same mistake. However, code clone detection tools cannot detect certain code fragments (e.g. modified after copy-and-pasted). To support developers who would like to detect such defects, we propose a method to retrieve similar code fragments in source code ...
Norihiro Yoshida   +3 more
openaire   +1 more source

An Approach to Source Code Plagiarism Detection Based on Abstract Implementation Structure Diagram

open access: yesMATEC Web of Conferences, 2018
Source-code plagiarism detection in programming, concerns the identification of source-code files that contain similar and/or identical source-code fragments.
Guo Shuang, Liu JianBin
doaj   +1 more source

Static Vulnerability Detection Based on Neural Network and Code Similarity [PDF]

open access: yesJisuanji gongcheng, 2019
Static vulnerability detection is usually only used for text detection,which is efficient but prone to false positive.To address this problem,this paper proposes a vulnerability detection method based on code similarity and neural network.This paper ...
XIA Zhiyang, YI Ping, YANG Tao
doaj   +1 more source

Investigating the impact of vulnerability datasets on deep learning-based vulnerability detectors [PDF]

open access: yesPeerJ Computer Science, 2022
Software vulnerabilities have led to system attacks and data leakage incidents, and software vulnerabilities have gradually attracted attention. Vulnerability detection had become an important research direction. In recent years, Deep Learning (DL)-based
Lili Liu, Zhen Li, Yu Wen, Penglong Chen
doaj   +2 more sources

Home - About - Disclaimer - Privacy