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239 results
Authors: Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen.
209 views
4 years ago
Defeating Machine Learning: Systemic Deficiencies for Detecting Malware - Wes Connell, Ryan Peters Ground Truth BSidesLV ...
2,067 views
9 years ago
Much of next-gen AV relies on machine learning to generalize to never-before-seen malware. Less well appreciated, however, ...
4,822 views
8 years ago
Decided to do something somewhat different and play around with machine learning using KNIME and focusing on how one goes ...
80 views
6 years ago
Recorded at AppSecUSA 2014 in Denver http://2014.appsecusa.org/ Friday, September 19 • 2:00pm - 2:45pm Catch me if you ...
1,030 views
11 years ago
Title: FeatureSmith: Automatically Engineering Features for Malware Detection by Mining the Security Literature Authors: Ziyun ...
358 views
Mobile malware has been around since the first versions of Android and iOS, ranging from premium-text scams to ransomwares to ...
693 views
Android malware creators constantly struggle to devise innovative methods to obscure apps and impede reverse engineering.
34,531 views
2 years ago
https://class.malware.re/2020/04/22/android-analysis-part2.html A follow-up video lecture covering more advanced topics in ...
4,696 views
5 years ago
In this research, we propose a novel technique to identify malicious Android applications through the use of analyzing the HEAP ...
578 views
7 years ago
A webinar on “Application of Deep Learning in Malware Detection and Classification” by Samaneh Mahdavifar, a Ph.D. student at ...
1,075 views
Domain generation algorithm (DGA) malware makes callouts to unique web addresses to avoid detection by static rules engines.
5,457 views
Have you ever wanted to see how Android malware work? How they are implemented? Which tools to use? This session is for ...
214 views
Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware ...
49,607 views
Increased amount of data allows for better training and more accurate machine learning systems. Big part of generated data today ...
75 views
In this keynote presentation, we will delve into the fascinating evolution of mobile malware over the past 15 years. Exploring the ...
391 views
BSides Belfast 2016.
141 views
PLEASE SUBSCRIBE TO KEEP THIS CHANNEL ALIVE! Tip Jar: https://paypal.me/radlovacki Given the high pace at which new ...
505 views
2014 Honeynet Project Workshop | 12-14 May 2014 | Warsaw | Poland Speaker: Sebastian Poeplau Title: Execute this! Looking ...
132 views
https://class.malware.re/2020/04/18/android-intro-and-tools.html This lecture reviews the Android app structure, and also ...
1,397 views