Results 21 to 30 of about 3,386 (193)

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

Partial Evaluation for Java Malware Detection [PDF]

, 2015
The fact that Java is platform independent gives hackers the opportunity to write exploits that can target users on any platform, which has a JVM implementation. Metasploit is a well-known source of Java exploits and to circumvent detection by Anti Virus
Andy King, King, Andy, Singh, Ranjeet, Ranjeet Singh   +3 more
core   +1 more source

[Dataset] Detection of DGA-based Malware Communications from DoH Traffic Using Machine Learning Analysis

, 2022
DoH-DGA-Malware-Traffic-HKD (csv_files.zip, l3-malware.csv, pcap_files.zip, and README.txt): If you use the dataset, please be sure to cite the following paper.Rikima Mitsuhashi, Yong Jin, Katsuyoshi Iida, Takahiro Shinagawa, and Yoshiaki Takai ...
Jin, Yong, Takai, Yoshiaki, Iida, Katsuyoshi, Shinagawa, Takahiro, Mitsuhashi, Rikima   +4 more
core   +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

BinSlayer: Accurate Comparison of Binary Executables [PDF]

, 2013
As the volume of malware inexorably rises, comparison of binary code is of increasing importance to security analysts as a method of automatically classifying new malware samples; purportedly new examples of malware are frequently a simple evolution of ...
Martial Bourquin, Bourquin, Martial, Andy King, Robbins, Edward, King, Andy, Edward Robbins   +5 more
core   +1 more source

File-level malware detection using byte streams

, 2023
As more documents appear on the Internet, it becomes important to detect malware within the documents. Malware of non-executables might be more dangerous because people usually open them without worrying about inherent danger.
Medard Edmund Mswahili, Young-Seob Jeong, Ah Reum Kang   +2 more
core   +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

BotDet: A System for Real Time Botnet Command and Control Traffic Detection

IEEE Access, 2018
Over the past decade, the digitization of services transformed the healthcare sector leading to a sharp rise in cybersecurity threats. Poor cybersecurity in the healthcare sector, coupled with high value of patient records attracted the attention of ...
Ibrahim Ghafir, Vaclav Prenosil, Mohammad Hammoudeh, Thar Baker, Sohail Jabbar, Shehzad Khalid, Sardar Jaf   +6 more
doaj   +1 more source