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Mission Aware Cyber‐Physical Security

Systems Engineering, Volume 29, Issue 2, Page 354-367, March 2026.
ABSTRACT Perimeter cybersecurity, while essential, has proven insufficient against sophisticated, coordinated, and cyber‐physical attacks. In contrast, mission‐centric cybersecurity emphasizes finding evidence of attack impact on mission success, allowing for targeted resource allocation to mitigate vulnerabilities and protect critical assets.
Georgios Bakirtzis, Bryan Carter, Cody H. Fleming, Carl R. Elks   +3 more
wiley   +1 more source

A Malware Detection System For Android [PDF]

, 2015
Android security is built upon a permission-based mechanism, which restricts access of third-party Android applications to critical resources on an Android device.
Tchakounté, Franklin
core  

Analysis of Bayesian classification-based approaches for Android malware detection [PDF]

, 2014
Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting in sharp increase in malware targeting the platform.
McWilliams, Gavin, Yerima, Suleiman Y., Sezer, Sakir   +2 more
core   +1 more source

Android malware Detection using Machine learning: A Review [PDF]

, 2023
Malware for Android is becoming increasingly dangerous to the safety of mobile devices and the data they hold. Although machine learning techniques have been shown to be effective at detecting malware for Android, a comprehensive analysis of the methods ...
Hamdy Soliman (15213975), Mohammad Sahinur Hossen (15213980), Md Naseef-Ur-Rahman Chowdhury (14812855), Ahshanul Haque (15199219), Imtiaz Ahmed (15213985), Tanjim Fatima (15213988)   +5 more
core   +1 more source

Data Drift in Android Malware Detection

2024 International Conference on Machine Learning and Cybernetics (ICMLC)
Android malware detectors are now widely implemented with machine learning algorithms, trained on large datasets of goodware and malware applications gathered at a fixed moment in time. However, as recent work showed, this domain is not stationary, causing detectors to show degrading performance over time.
Minnei, Luca, Eddoubi, Hicham, Sotgiu, Angelo, Pintor, Maura, Demontis, Ambra, Biggio, Battista   +5 more
openaire   +2 more sources

Intelligent Approach for Android Malware Detection

KSII Transactions on Internet and Information Systems, 2015
As the Android operating system has become a key target for malware authors, Android protection has become a thriving research area. Beside the proved importance of system permissions for malware analysis, there is a lot of overlapping in permissions between malware apps and goodware apps.
Shubair Abdulla, Altyeb Altaher Altyeb
openaire   +1 more source

Runtime Detection Framework for Android Malware [PDF]

Mobile Information Systems, 2018
As the number of Android malware has been increased rapidly over the years, various malware detection methods have been proposed so far. Existing methods can be classified into two categories: static analysis-based methods and dynamic analysis-based methods.
TaeGuen Kim 0002, Boojoong Kang, Eul Gyu Im   +2 more
openaire   +1 more source

Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam, Nuruzzaman Faruqui, Akm Azad, Mohammad Ali Moni   +3 more
wiley   +1 more source

Fighting fire with fire – a Pre-emptive approach to restore control over IT assets from malware infection [PDF]

, 2012
Malware is a major threat as they induce multiple risks to infected organizations. Current Anti-Malware solutions meant to keep Malware away are challenged on how to keep the risks at bay effectively. When a Malware manages to penetrate an organization’s
Pan, J.Y.
core   +1 more source

A Hybrid Approach for Android Malware Detection and Family Classification.

International Journal of Interactive Multimedia and Artificial Intelligence, 2021
With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify.
Meghna Dhalaria, Ekta Gandotra
doaj   +1 more source