Results 11 to 20 of about 2,905 (223)
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 +8 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.
S, Mrs Hamsareka +4 more
core +10 more sources
Android Malware Detection Using BERT [PDF]
, 2022 Android malware detection using ...
SOUANI, Badr +4 more
openaire +4 more sources
DroidEnemy: Battling adversarial example attacks for Android malware detection [PDF]
Digital Communications and Networks, 2022 In recent years, we have witnessed a surge in mobile devices such as smartphones, tablets, smart watches, etc., most of which are based on the Android operating system. However, because these Android-based mobile devices are becoming increasingly popular,
Neha Bala +5 more
doaj +2 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
Android malware category detection using a novel feature vector-based machine learning model
Cybersecurity, 2023 Malware attacks on the Android platform are rapidly increasing due to the high consumer adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to actively create and disseminate a wide range of malware on Android ...
Hashida Haidros Rahima Manzil +1 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
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
Z2F: Heterogeneous graph-based Android malware detection. [PDF]
PLoS OneAndroid malware is becoming more common, and its invasion of smart devices has brought immeasurable losses to people's lives. Most existing Android malware detection methods extract Android features from the original application files without considering
Ma Z, Luktarhan N.
europepmc +2 more sources
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