Spotting the Malicious Moment: Characterizing Malware Behavior Using Dynamic Features
暂无分享,去创建一个
[1] Muttukrishnan Rajarajan,et al. Android Security: A Survey of Issues, Malware Penetration, and Defenses , 2015, IEEE Communications Surveys & Tutorials.
[2] Steve Hanna,et al. A survey of mobile malware in the wild , 2011, SPSM '11.
[3] Konrad Rieck,et al. DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket , 2014, NDSS.
[4] Thomas Schreck,et al. Mobile-sandbox: having a deeper look into android applications , 2013, SAC '13.
[5] Dan Arp,et al. Drebin : � Efficient and Explainable Detection of Android Malware in Your Pocket , 2014 .
[6] L. Cavallaro,et al. A System Call-Centric Analysis and Stimulation Technique to Automatically Reconstruct Android Malware Behaviors , 2013 .
[7] Miroslaw Malek,et al. What does the memory say? Towards the most indicative features for efficient malware detection , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).
[8] Aniello Cimitile,et al. Mobile Malware Detection in the Real World , 2016, 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C).
[9] Sahin Albayrak,et al. An Android Application Sandbox system for suspicious software detection , 2010, 2010 5th International Conference on Malicious and Unwanted Software.
[10] Gerardo Canfora,et al. A Classifier of Malicious Android Applications , 2013, 2013 International Conference on Availability, Reliability and Security.
[11] Antonella Santone,et al. Ransomware Steals Your Phone. Formal Methods Rescue It , 2016, FORTE.
[12] Lei Liu,et al. VirusMeter: Preventing Your Cellphone from Spies , 2009, RAID.
[13] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[14] Eric Medvet,et al. Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection , 2016, IWSPA@CODASPY.
[15] Sencun Zhu,et al. Detecting Software Theft via System Call Based Birthmarks , 2009, 2009 Annual Computer Security Applications Conference.
[16] Seong-je Cho,et al. A kernel-based monitoring approach for analyzing malicious behavior on Android , 2014, SAC.
[17] David A. Wagner,et al. The Effectiveness of Application Permissions , 2011, WebApps.
[18] Ayumu Kubota,et al. Kernel-based Behavior Analysis for Android Malware Detection , 2011, 2011 Seventh International Conference on Computational Intelligence and Security.
[19] Mi-Jung Choi,et al. Analysis of Android malware detection performance using machine learning classifiers , 2013, 2013 International Conference on ICT Convergence (ICTC).
[20] Franklin Tchakounté,et al. System Calls Analysis of Malwares on Android , 2013 .
[21] Felix C. Freiling,et al. Mobile Security Catching Up? Revealing the Nuts and Bolts of the Security of Mobile Devices , 2011, 2011 IEEE Symposium on Security and Privacy.
[22] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[23] Christopher Krügel,et al. Limits of Static Analysis for Malware Detection , 2007, Twenty-Third Annual Computer Security Applications Conference (ACSAC 2007).
[24] Miroslaw Malek,et al. A Friend or a Foe? Detecting Malware using Memory and CPU Features , 2016, SECRYPT.
[25] Patrick D. McDaniel,et al. On lightweight mobile phone application certification , 2009, CCS.
[26] Vrizlynn L. L. Thing,et al. Securing Android , 2015, ACM Comput. Surv..
[27] Eric Medvet,et al. Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware , 2015, 2015 10th International Conference on Availability, Reliability and Security.
[28] Andrew Hoog. Android software development kit and android debug bridge , 2011 .
[29] Alessandro Armando,et al. Security Issues in the Android Cross-Layer Architecture , 2012, ArXiv.
[30] Christopher Krügel,et al. A survey on automated dynamic malware-analysis techniques and tools , 2012, CSUR.
[31] Antonella Santone,et al. Download Malware? No, Thanks. How Formal Methods Can Block Update Attacks , 2016, 2016 IEEE/ACM 4th FME Workshop on Formal Methods in Software Engineering (FormaliSE).
[32] Eemil Lagerspetz,et al. The company you keep: mobile malware infection rates and inexpensive risk indicators , 2013, WWW.
[33] Sahin Albayrak,et al. Enhancing security of linux-based android devices , 2008 .
[34] Eric Medvet,et al. Detecting Android malware using sequences of system calls , 2015, DeMobile@SIGSOFT FSE.
[35] Gerardo Canfora,et al. Evaluating Op-Code Frequency Histograms in Malware and Third-Party Mobile Applications , 2015, ICETE.
[36] Gianluca Dini,et al. MADAM: A Multi-level Anomaly Detector for Android Malware , 2012, MMM-ACNS.
[37] Antonella Santone,et al. Download malware? no, thanks: how formal methods can block update attacks , 2016, FM 2016.
[38] N. Ye,et al. Robustness of Chi‐square and Canberra distance metrics for computer intrusion detection , 2002 .
[39] Simone Atzeni,et al. Evaluation of Android Malware Detection Based on System Calls , 2016, IWSPA@CODASPY.
[40] Yuval Elovici,et al. “Andromaly”: a behavioral malware detection framework for android devices , 2012, Journal of Intelligent Information Systems.
[41] Gerardo Canfora,et al. Mobile malware detection using op-code frequency histograms , 2015, 2015 12th International Joint Conference on e-Business and Telecommunications (ICETE).