Results 11 to 20 of about 2,699 (152)

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, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

A Proposed Artificial Intelligence Model for Android-Malware Detection

Informatics, 2023
There are a variety of reasons why smartphones have grown so pervasive in our daily lives. While their benefits are undeniable, Android users must be vigilant against malicious apps.
Fatma Taher, Omar Al Fandi, Mousa Al Kfairy, Hussam Al Hamadi, Saed Alrabaee   +4 more
doaj   +1 more source

Application of Distance Metric Learning to Automated Malware Detection

IEEE Access, 2021
Distance metric learning aims to find the most appropriate distance metric parameters to improve similarity-based models such as $k$ -Nearest Neighbors or $k$ -Means. In this paper, we apply distance metric learning to the problem of malware detection.
Martin Jurecek, Robert Lorencz
doaj   +1 more source

A Two-Layer Deep Learning Method for Android Malware Detection Using Network Traffic

IEEE Access, 2020
Because of the characteristic of openness and flexibility, Android has become the most popular mobile platform. However, it has also become the most targeted system by mobile malware.
Jiayin Feng, Limin Shen, Zhen Chen, Yuying Wang, Hui Li   +4 more
doaj   +1 more source

A Novel Neural Network Architecture Using Automated Correlated Feature Layer to Detect Android Malware Applications

Mathematics, 2023
Android OS devices are the most widely used mobile devices globally. The open-source nature and less restricted nature of the Android application store welcome malicious apps, which present risks for such devices.
Amerah Alabrah
doaj   +1 more source

MACoMal: A Multi-Agent Based Collaborative Mechanism for Anti-Malware Assistance

IEEE Access, 2020
Anti-malware tools remain the primary line of defense against malicious software. There is a wide variety of commercial anti-malware tools in the IT security market.
Mohamed Belaoued, Abdelouahid Derhab, Smaine Mazouzi, Farrukh Aslam Khan   +3 more
doaj   +1 more source

SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System

IEEE Access, 2018
For the last few years, Android is known to be the most widely used operating system and this rapidly increasing popularity has attracted the malware developer's attention.
Saba Arshad, Munam A. Shah, Abdul Wahid, Amjad Mehmood, Houbing Song, Hongnian Yu   +5 more
doaj   +1 more source

An Analysis of Android Malware Classification Services

Sensors, 2021
The increasing number of Android malware forced antivirus (AV) companies to rely on automated classification techniques to determine the family and class of suspicious samples.
Mohammed Rashed, Guillermo Suarez-Tangil
doaj   +1 more source

A MACHINE LEARNING CLASSIFICATION APPROACH TO DETECT TLS-BASED MALWARE USING ENTROPY-BASED FLOW SET FEATURES

Journal of ICT, 2022
Transport Layer Security (TLS) based malware is one of the most hazardous malware types, as it relies on encryption to conceal connections. Due to the complexity of TLS traffic decryption, several anomaly-based detection studies have been conducted to ...
Kinan Keshkeh, Aman Jantan , Kamal Alieyan   +2 more
doaj   +1 more source

Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices

Sensors, 2022
With the rapid expansion of the use of smartphone devices, malicious attacks against Android mobile devices have increased. The Android system adopted a wide range of sensitive applications such as banking applications; therefore, it is becoming the ...
Hasan Alkahtani, Theyazn H. H. Aldhyani
doaj   +1 more source