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Authors: Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen.

Talk: Hacking the Hackers' Code: Inside Android Malware Speaker: Caner Kaya Event: droidcon Berlin 2025 Date: 24th ...

... day on um android malware or iot malware um reversing uh those um those malware to well see what they are doing and detect ...

Have you ever wanted to see how Android malware work? How they are implemented? Which tools to use? This session is for ...

Mobile malware has been around since the first versions of Android and iOS, ranging from premium-text scams to ransomwares to ...

Android malware creators constantly struggle to devise innovative methods to obscure apps and impede reverse engineering.

Defeating Machine Learning: Systemic Deficiencies for Detecting Malware - Wes Connell, Ryan Peters Ground Truth BSidesLV ...

In this video, we unpack a malicious sample of Android/Joker with an open source tool named Medusa. This tool is dynamic, ...

Title: FeatureSmith: Automatically Engineering Features for Malware Detection by Mining the Security Literature Authors: Ziyun ...

Connecting With Us --------------------------------------------------- + Hire Us For A Project: https://lawrencesystems.com/hire-us/ + Tom ...

In this keynote presentation, we will delve into the fascinating evolution of mobile malware over the past 15 years. Exploring the ...

An explanation of the impossibility to detect malware perfectly including a dive into Fred Cohen's proof that virus detection is an ...

Today's evil often comes in the form of ransomware, keyloggers, or spyware, against which AntiVirus applications are usually an ...

As Defenders it is easy to view attacker behavior through a Technique lens, but this perspective often causes us to forget about ...

The first commercially-available Android device was released in 2008. Despite its nearly 10-year public lifespan, the OS still ...

Domain generation algorithm (DGA) malware makes callouts to unique web addresses to avoid detection by static rules engines.

... reinforcement learning to modify malware to evade machine learning malware detection. Reinforcement learning has produced ...

In this research, we propose a novel technique to identify malicious Android applications through the use of analyzing the HEAP ...

This presentation will show key findings and methods of this investigation into top Android malware distributors operating in ...

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware ...