Results 11 to 20 of about 20,046 (244)
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Detection and Prevention of Malware in Android Operating System
Mehran University Research Journal of Engineering and Technology, 2021 The Internet is not safe anymore, malware can be discovered anywhere on the Internet. The risk of malware has increased also due to the increasing popularity and use of Smartphones and their underlying cost-free applications. With its great market share,
Kashif Ali Dahri +2 more
doaj +1 more source
International Journal of Research in Engineering and Technology, 2014 Mohammed Tarwala .
openaire +2 more sources
Applied Sciences, 2022 As a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware.
Abimbola G. Akintola +9 more
doaj +1 more source
DroidPortrait: Android Malware Portrait Construction Based on Multidimensional Behavior Analysis
Applied Sciences, 2020 Recently, security incidents such as sensitive data leakage and video/audio hardware control caused by Android malware have raised severe security issues that threaten Android users, so thus behavior analysis and detection research researches of ...
Xin Su +5 more
doaj +1 more source
Klasifikasi Malware Family menggunakan Metode k-Nearest Neighbor (k-NN) [PDF]
, 2021 Smartphones based on Android OS have the most users today because they are comfortable to use and offer a variety of features. As a result, many malware developers have made Android OS their main target. Every year, new types of malware families emerge
Akbi, Denar Regata +2 more
core +1 more source
A Systematic Literature Review of Android Malware Detection Using Static Analysis
IEEE Access, 2020 Android malware has been in an increasing trend in recent years due to the pervasiveness of Android operating system. Android malware is installed and run on the smartphones without explicitly prompting the users or without the user's permission, and it ...
Ya Pan +3 more
doaj +1 more source
Benchmarking Android malware analysis tools
Electronics, 2023 Abstract Today, malware is arguably one of the biggest challenges organizations face from a cybersecurity standpoint, regardless of the types of devices used in the organization. One of the most malware-attacked mobile operating systems today is Android.
Javier Bermejo Higuera +5 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
Android malicious attacks detection models using machine learning techniques based on permissions [PDF]
International Journal of Data and Network Science, 2023 The Android operating system is the most used mobile operating system in the world, and it is one of the most popular operating systems for different kinds of devices from smartwatches, IoT, and TVs to mobiles and cockpits in cars.
Mousa AL-Akhras +4 more
doaj +1 more source