Results 21 to 30 of about 97,198 (223)
IEEE Access, 2019 Researchers from academia and the corporate-sector rely on scholarly digital libraries to access articles. Attackers take advantage of innocent users who consider the articles' files safe and thus open PDF-files with little concern.
Nir Nissim +6 more
doaj +1 more source
A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks
Information, 2023 Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware.
Parvez Faruki +5 more
doaj +1 more source
A Comprehensive Review on Malware Detection Approaches
IEEE Access, 2020 According to the recent studies, malicious software (malware) is increasing at an alarming rate, and some malware can hide in the system by using different obfuscation techniques.
Omer Aslan, Refik Samet
doaj +1 more source
The rise of obfuscated Android malware and impacts on detection methods [PDF]
PeerJ Computer Science, 2022 The various application markets are facing an exponential growth of Android malware. Every day, thousands of new Android malware applications emerge. Android malware hackers adopt reverse engineering and repackage benign applications with their malicious
Wael F. Elsersy +2 more
doaj +2 more sources
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
core +3 more sources
2011 6th International Conference on Malicious and Unwanted Software, 2011 Malware behavior detectors observe the behavior of suspected malware by emulating its execution or executing it in a sandbox or other restrictive, instrumented environment. This assumes that the process, or process family, being monitored will exhibit the targeted behavior if it contains malware.
Ramilli, Marco +2 more
openaire +2 more sources
Coevolution of Mobile Malware and Anti-Malware
IEEE Transactions on Information Forensics and Security, 2018 Mobile malware is one of today's greatest threats in computer security. Furthermore, new mobile malware is emerging daily that introduces new security risks. However, while existing security solutions generally protect mobile devices against known risks, they are vulnerable to as yet unknown risks.
Sevil Sen, Emre Aydogan, Ahmet I. Aysan
openaire +2 more sources
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
Machine-Learning Classifiers for Malware Detection Using Data Features
Journal of ICT Research and Applications, 2021 The spread of ransomware has risen exponentially over the past decade, causing huge financial damage to multiple organizations. Various anti-ransomware firms have suggested methods for preventing malware threats.
Saleh Abdulaziz Habtor +1 more
doaj +1 more source
Obfuscation-based malware update: A comparison of manual and automated methods [PDF]
, 2017 Indexación: Scopus; Web of Science.This research presents a proposal of malware classification and its update based on capacity and obfuscation. This article is an extension of [4]a, and describes the procedure for malware updating, that is, to take ...
BarrÃa, C. +4 more
core +2 more sources