The Similarity Analysis of Malicious Software

被引：6

作者：

Liu, Jing ^{[1
]}

Wang, Yuan ^{[1
]}

Wang, Yongjun ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Comp, Changsha, Hunan, Peoples R China

来源：

2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC 2016) | 2016年

基金：

中国国家自然科学基金;

关键词：

Malicious software; similarity analysis; variants;

D O I：

10.1109/DSC.2016.12

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Malicious software poses a major threat to network security. The sheer volume of it is growing at an exponential pace. Researches have shown that the majority of new malicious samples are just variations of encountered malicious software. Therefore, similarity analysis has been put forward as an effective way to counteract the enormous new instances. Through measuring the similarity degree among instances, it can quickly identify malicious variants. In this paper, we provide an overview of algorithms used in similarity analysis of malicious software.

引用

页码：161 / 168

页数：8

共 50 条

[21] Software piracy attacks on java software using malicious aspects
Department of Computer Science, National Chengchi University, Taiwan
J. Internet Technol., 2007, 1 (97-108):
[22] Software Malicious Behavior Analysis Model based on System Call and Function Interface
Fan, Yongkai
Lei, Jing
Peng, Cong
Wang, Jinghan
Liu, Jiaxu
Zhao, Guanqun
Bai, Jianrong
2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 59 - 64
[23] Dynamic analysis of malicious behavior propagation based on feature selection in software network
Xue, Huajian
Wang, Yali
Tang, Qiguang
FRONTIERS IN PHYSICS, 2024, 12
[24] Threat Analysis and Malicious User Detection in Reputation Systems using Mean Bisector Analysis and Cosine Similarity (MBACS)
Jnanamurthy, H. K.
Warty, Chirag
Singh, Sanjay
2013 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2013,
[25] Malicious Code Detection Based on Software Fingerprint
Yin, Zhimin
Yu, Xiangzhan
Niu, Linhua
PROCEEDINGS OF THE 2013 THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (ICAISE 2013), 2013, 37 : 212 - 216
[26] Monitoring and Diagnosing Malicious Attacks with Autonomic Software
Souza, Vitor E. Silva
Mylopoulos, John
CONCEPTUAL MODELING - ER 2009, PROCEEDINGS, 2009, 5829 : 84 - 98
[27] Handling Malicious Switches in Software Defined Networks
Ghannam, Rami
Chung, Anthony
NOMS 2016 - 2016 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, 2016, : 1245 - 1248
[28] Kill the bots! Software thwarts malicious hackers
不详
TECHNOLOGY REVIEW, 2005, 108 (05) : 82 - 82
[29] Exploring the Long Tail of (Malicious) Software Downloads
Rahbarinia, Babak
Balduzzi, Marco
Perdisci, Roberto
2017 47TH ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN), 2017, : 391 - 402
[30] Malicious and Harmless Software in the Domain of System Utilities
St'astna, Jana
PROCEEDINGS OF THE 2019 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2019, : 237 - 246

← 1 2 3 4 5 →