Results 11 to 20 of about 2,901,102 (167)
Trends in Android Malware Detection [PDF]
Journal of Digital Forensics, Security and Law, 2013 This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and
Kaveh Shaerpour +2 more
core +9 more sources
Android Malware Detection [PDF]
International Journal of Innovative Research in Advanced EngineeringMachine learning based detection system of Android malware and analysis of features which are static. The deigned system extracts non executable features such as permissions, intents, activities, and API calls from Android APK files. We analyze non-executable APK features and classify them using a Random Forest model deployed on a Flask server.
Aaditya Vikram Saravana Bhavan +5 more
core +6 more sources
Android Malware Detection Using BERT [PDF]
, 2022 Android malware detection using ...
SOUANI, Badr +4 more
openaire +4 more sources
Android malware detection: An eigenspace analysis approach [PDF]
2015 Science and Information Conference (SAI), 2015 7 pages, 4 figures ...
Yerima, Suleiman Y. +2 more
openaire +7 more sources
Smart malware detection on Android [PDF]
Security and Communication Networks, 2015 AbstractNowadays, because of its increased popularity, Android is target to a growing number of attacks and malicious applications, with the purpose of stealing private information and consuming credit by subscribing to premium services. Most of the current commercial antivirus solutions use static signatures for malware detection, which may fail to ...
Laura Gheorghe +6 more
openaire +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
Guided Retraining to Enhance the Detection of Difficult Android Malware [PDF]
, 2023 peer reviewedThe popularity of Android OS has made it an appealing target for malware developers. To evade detection, including by ML-based techniques, attackers invest in creating malware that closely resemble legitimate apps, challenging the state of ...
Allix, Kevin +3 more
core +1 more source
IEEE Access, 2023 Nowadays, the malware on the Android platform is found to be increasing. With the prevalent use of code obfuscation technology, the precision of antivirus software and classical detection techniques is low.
Ghadah Aldehim +7 more
doaj +1 more source
Feature Importance in Android Malware Detection [PDF]
2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2020 The topic of mobile malware detection on the Android platform has attracted significant attention over the last several years. However, while much research has been conducted toward mobile malware detection techniques, little attention has been devoted to feature selection and feature importance. That is, which app feature matters more when it comes to
Vasileios Kouliaridis +2 more
openaire +2 more sources
Detection and Visualization of Android Malware Behavior [PDF]
Journal of Electrical and Computer Engineering, 2016 Malware analysts still need to manually inspect malware samples that are considered suspicious by heuristic rules. They dissect software pieces and look for malware evidence in the code. The increasing number of malicious applications targeting Android devices raises the demand for analyzing them to find where the malcode is triggered when user ...
Oscar Somarriba Jarquín +4 more
openaire +3 more sources