Auditing anti-malware tools by evolving Android malware and dynamic loading technique

Auditing anti-malware tools by evolving Android malware and dynamic loading technique

Although a previous paper shows that existing antimalware tools (AMTs) may have high detection rate, the report is based on existing malware and thus it does not imply that AMTs can effectively deal with future malware. It is desirable to have an alternative way of auditing AMTs. In our previous pap...

Saved in:

書目詳細資料
Main Authors:	XUE, Yinxing, MENG, Guozhu, LIU, Yang, TAN, Tian Huat, CHEN, Hongxu, SUN, Jun, ZHANG, Jie
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2017
主題:	Android feature model defense capability malware generation dynamic loading linear programming Programming Languages and Compilers Software Engineering
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/4853 https://ink.library.smu.edu.sg/context/sis_research/article/5856/viewcontent/auditing_anti_malware__PV.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

相似書籍

ICCDetector: ICC-based malware detection on Android
由: KE, Xu, et al.
出版: (2016)

A performance-sensitive malware detection system using deep learning on mobile devices
由: FENG, Ruitao, et al.
出版: (2020)

Experimental comparison of features and classifiers for Android malware detection
由: SHAR, Lwin Khin, et al.
出版: (2020)

Advanced malware detection for android platform
由: XU, Ke
出版: (2018)

Meta-learning for multi-family Android malware classification
由: LI, Yao, et al.
出版: (2024)

Machine learning based approaches towards robust Android malware detection
由: XU, Jiayun
出版: (2021)

Empirical evaluation of minority oversampling techniques in the context of Android malware detection
由: SHAR, Lwin Khin, et al.
出版: (2021)

SDAC: A slow-aging solution for Android malware detection using semantic distance based API clustering
由: XU, Jiayun, et al.
出版: (2022)

Experimental comparison of features, analyses, and classifiers for Android malware detection
由: SHAR, Lwin Khin, et al.
出版: (2023)

MobiDroid: A performance-sensitive malware detection system on mobile platform
由: FENG, Ruitao, et al.
出版: (2019)

A multi-view context-aware approach to Android malware detection and malicious code localization
由: Narayanan, Annamalai, et al.
出版: (2020)

Can we trust your explanations? Sanity checks for interpreters in android malware analysis
由: FAN, Min, et al.
出版: (2021)

Securing Android app markets via modeling and predicting malware spread between markets
由: Meng, Guozhu, et al.
出版: (2021)

deRop: Removing Return-Oriented Programming from Malware
由: LU, Kangjie, et al.
出版: (2011)

Semantics-aware Android malware classification using weighted contextual API dependency graphs
由: ZHANG, Mu, et al.
出版: (2014)

Active malware analysis
由: Lye, Matthias Jun Hao
出版: (2025)

Insights into Malware Detection and Prevention on Mobile Phones
由: YAN, Qiang, et al.
出版: (2009)

Chameleon: Diverse detection of web malware
由: Mancia, Riegel Sean D., et al.
出版: (2012)

A software environment for confining malicious android applications via resource virtualization
由: Li, X., et al.
出版: (2014)

A scalable approach for malware detection through bounded feature space behavior modeling
由: CHANDRAMOHAN, Mahinthan, et al.
出版: (2013)

On Challenges in Evaluating Malware Clustering
由: LI, Peng, et al.
出版: (2010)

Detection of mobile malware in the wild
由: Chandramohan, M., et al.
出版: (2014)

Exploration of a framework for behavior-based malware detection and classification
由: TING MENG YEAN
出版: (2010)

Malware detection with open source security information and event management (OSSIM)
由: Loh, Yi Hong
出版: (2024)

DeepRefiner: Multi-layer Android malware detection system applying deep neural networks
由: KE, Xu, et al.
出版: (2018)

Comparative Analysis of Combinations of Dimension Reduction and Data Mining Techniques for Malware Detection
由: Fernandez, Proceso L, Jr, et al.
出版: (2010)

FA3: Fine-Grained Android Application Analysis
由: LIN, Yan, et al.
出版: (2023)

On locating malicious code in piggybacked Android apps
由: LI, Li, et al.
出版: (2017)

Design and development of a hybrid metamorphic portable executable malware detection system
由: Diaz, Julianne Alyson I.
出版: (2022)

DroidEvolver: Self-evolving Android malware detection system
由: XU, Ke, et al.
出版: (2019)

Understanding Android app piggybacking: A systematic study of malicious code grafting
由: LI, Li, et al.
出版: (2017)

Detection and classification of malicious JavaScript via attack behavior modelling
由: XUE, Yinxing, et al.
出版: (2015)

SeqAdver: Automatic payload construction and injection in sequence-based Android adversarial attack
由: ZHANG, Fei, et al.
出版: (2023)

On the Potential of Limitation-oriented Malware Detection and Prevention Techniques on Mobile Phones
由: YAN, Qiang, et al.
出版: (2010)

Automatic detection and analysis towards malicious behavior in IoT malware
由: LI, Sen, et al.
出版: (2023)

Scalable malware clustering through coarse-grained behavior modeling
由: CHANDRAMOHAN, Mahinthan, et al.
出版: (2012)

AndroEvolve: Automated update for Android deprecated-API usages
由: HARYONO, Stefanus A., et al.
出版: (2021)

Comparative analysis of combinations of dimension reduction and data mining techniques for malware detection
由: JEFFREY, YIU
出版: (2011)

Service reliability and availability analysis of distributed software systems considering malware attack
由: Xiong, C.-J., et al.
出版: (2014)

Towards automatic generation of security-centric descriptions for Android apps
由: ZHANG, Mu, et al.
出版: (2015)