恶意应用检测

摘要应用程序的行为语义在Android恶意应用检测中起着关键作用。为了区分应用的行为语义，文中提出适合. 用于Android恶意应用检测的特征和方法。

staff.ustc.edu.cn·735.9 KB

Our solution consists of two main phases: (i) a verification service in Phase 1 which checks for potential malicious codes in new applications using system call ...

www.cse.lehigh.edu·709.7 KB

AI methods have been proven to yield impressive performance on Android mal- ware detection. However, most AI-based methods make predictions ...

arxiv.org·625.3 KB

Enhancing malware detection for android apps: Detecting fine-granularity malicious components, in: 2023 38th IEEE/ACM International Conference on Automated ...

arxiv.org·568.8 KB

摘要：针对Android 平台安全问题，提出了手机端和服务端协作的恶意代码检测方案，手机端应用主要采用基. 于permission 检测技术，实现轻量级的检测。服务端检测系统主要 ...

www.pku-exploit.com·491.9 KB

To address this issue, we propose a framework for system call processing for benign and malware Android apps with an ability of early detection of malware.

www.ndss-symposium.org·490.1 KB

Introduction. Threat modeling is a structured process for identifying and understanding potential threats, as well as developing and prioritizing ...

people.bu.edu·456.6 KB

ABSTRACT. We present Apposcopy, a new semantics-based approach for identifying a prevalent class of Android malware that steals private user information.

theory.stanford.edu·435.9 KB

This paper explores the application of ISO 21434 standards to enhance cybersecurity in embedded systems, focusing on the automotive industry ...

www.highintegritysystems.com·424.6 KB

Intelligence gathering and sharing is a proactive process to stay ahead of attacks, whether it's a phishing campaign targeting employees, a ransomware event, or ...

www.osbckansas.gov·299.3 KB

It combines application modelling techniques with subtle heuristics to swiftly discover an application's complete attack surface. SPA Scanning. AppCheck's scan ...

appcheck-ng.com·282.1 KB

Threat intelligence platforms/tools are software solutions designed to facilitate the collection, analysis, and management of threat intelligence data.

threatconnect.com·177.3 KB

Software Trust Manager Threat Detection secures the software supply chain through advanced, comprehensive detection of threats and vulnerabilities in open- ...

www.digicert.com·175.6 KB

Abstract—This paper describes an efficient approach for iden- tifying malicious Android mobile applications through specialized static program analysis.

yaogroup.cs.vt.edu·166.3 KB

Static application security testing (SAST) identifies security vulnerabilities during early stages of development when they are least expensive to fix. It.

www.opentext.com·71.8 KB

Machine Learning (ML) algorithms can significantly help in classifying Android applications as malware or benign. By using features and patterns ...

ieeexplore.ieee.org·2.4 KB

For Android malware detection, precise ground truth is a rare commodity. As security knowledge evolves, what may be considered ground truth at one moment in ...

ojs.aaai.org