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Trends in Android Malware Detection
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
openaire +4 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 Comprehensive Review of Android Malware Detection Techniques [PDF]
E3S Web of ConferencesThe Android malware is at peak with overwhelming ubiquity of the Android Operating Systems. Malware creators have been using and devising different novel strategies to build Android apps that are malicious that are capable of creating severe damages to ...
Singh Divyanshu +3 more
doaj +1 more source
Forensic Analysis of Hook Android Malware
Forensic Science International: Digital Investigation, 2023 This publication presents a thorough forensic investigation of the banking malware known as Hook, shedding light on its intricate functionalities and providing valuable insights into the broader realm of banking malware. Given the persistent evolution of Android malware, particularly in the context of banking threats, this research explores the ongoing
Dominic Schmutz +2 more
openaire +1 more source
Monitoring Real Android Malware [PDF]
, 2015 In the most comprehensive study on Android attacks so far (undertaken by the Android Malware Genome Project), the behaviour of more than 1, 200 malwares was analysed and categorised into common, recurring groups of attacks. Based on this work (and the corresponding actual malware files), we present an approach for specifying and identifying these (and ...
Jan-Christoph Küster +1 more
openaire +1 more source
MADLIRA: A Tool for Android Malware Detection
Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021 Today, there are more threats to Android users since malware writers are changing their target to explore the weakness of Android devices, in order to generate malicious behaviors. Thus, detecting Android malwares is becoming crucial. We present in this paper a tool, called MADLIRA (MAlware Detection using Learning and Information Retrieval for Android)
Khanh-Huu-The Dam, Tayssir Touili
openaire +3 more sources
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
Malware en Android y medidas de prevención
, 2023 Tesis previo a la obtención del título de Ingeniero de Sistemas y Computaciónxix RESUMEN Se realiza un estudio acerca de los malware en la plataforma Android, dicho tema ha llevado a los desarrolladores de software de la empresa Google a reflexionar ...
Vivas Pincay, Carlos Francisco
core +1 more source
A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction [PDF]
PeerJ Computer ScienceThe increasing prevalence of malicious applications targeting the Android operating system has intensified security challenges in recent years. As Android’s popularity continues to grow, it not only attracts users but also becomes a prime target for ...
Collins Uchenna Chimeleze +2 more
doaj +2 more sources
A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning
IEEE Access, 2022 The computers nowadays are being replaced by the smartphones for the most of the internet users around the world, and Android is getting the most of the smartphone systems’ market.
Mulhem Ibrahim +2 more
doaj +1 more source