Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices
Sensors, 2022 With the rapid expansion of the use of smartphone devices, malicious attacks against Android mobile devices have increased. The Android system adopted a wide range of sensitive applications such as banking applications; therefore, it is becoming the ...
Hasan Alkahtani, Theyazn H. H. Aldhyani
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Using HTML5 to Prevent Detection of Drive-by-Download Web Malware [PDF]
, 2014 The web is experiencing an explosive growth in the last years. New technologies are introduced at a very fast-pace with the aim of narrowing the gap between web-based applications and traditional desktop applications.
De Maio, Giancarlo +2 more
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An epidemic model for the investigation of multi‐malware attack in wireless sensor network
IET Communications, 2023 The protection of wireless sensor networks (WSN) against malware attacks is crucial. The paper discusses the issue of malware attacks in WSN, which are commonly used for monitoring and surveillance in various applications.
Shashank Awasthi +9 more
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Unsupervised Anomaly-based Malware Detection using Hardware Features [PDF]
, 2014 Recent works have shown promise in using microarchitectural execution patterns to detect malware programs. These detectors belong to a class of detectors known as signature-based detectors as they catch malware by comparing a program's execution pattern (
Sethumadhavan, Simha +2 more
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BotDet: A System for Real Time Botnet Command and Control Traffic Detection
IEEE Access, 2018 Over the past decade, the digitization of services transformed the healthcare sector leading to a sharp rise in cybersecurity threats. Poor cybersecurity in the healthcare sector, coupled with high value of patient records attracted the attention of ...
Ibrahim Ghafir +6 more
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Mal-Netminer: Malware Classification Approach based on Social Network Analysis of System Call Graph [PDF]
, 2015 As the security landscape evolves over time, where thousands of species of malicious codes are seen every day, antivirus vendors strive to detect and classify malware families for efficient and effective responses against malware campaigns.
Jang, Jae-wook +4 more
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Combined dynamic multi-feature and rule-based behavior for accurate malware detection
International Journal of Distributed Sensor Networks, 2019 Malware have become the scourge of the century, as they are continuously evolving and becoming more complex with increasing damages. Therefore, an adequate protection against such threats is vital.
Mohamed Belaoued +5 more
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Security Toolbox for Detecting Novel and Sophisticated Android Malware
, 2015 This paper presents a demo of our Security Toolbox to detect novel malware in Android apps. This Toolbox is developed through our recent research project funded by the DARPA Automated Program Analysis for Cybersecurity (APAC) project.
Deering, Tom +4 more
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Deep-Layer Clustering to Identify Permission Usage Patterns of Android App Categories
IEEE Access, 2022 With the increasing usage of smartphones in banks, medical services and m-commerce, and the uploading of applications from unofficial sources, security has become a major concern for smartphone users. Malicious apps can steal passwords, leak details, and
Zakeya Namrud +3 more
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Malware Detection using Machine Learning and Deep Learning
, 2019 Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies have been proposing solutions to defend attacks from these malware.
A Nappa +6 more
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