Results 11 to 20 of about 3,469,712 (175)

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

Technique for IoT malware detection based on control flow graph analysis

Радіоелектронні і комп'ютерні системи, 2022
The Internet of Things (IoT) refers to the millions of devices around the world that are connected to the Internet. Insecure IoT devices designed without proper security features are the targets of many Internet threats.
Kira Bobrovnikova, Sergii Lysenko, Bohdan Savenko, Piotr Gaj, Oleg Savenko   +4 more
doaj   +1 more source

IoT Malware Detection Based on OPCODE Purification [PDF]

, 2023
Malware threat for Internet of Things (IoT) devices is increasing day by day. The constrained nature of IoT devices makes it impossible to apply high-resource-demand ing anti-malware tools for these devices.
Kılınç, Hacı Hakan, Aydın, Muhammed Ali, Gülataş, İbrahim, Ibrahim Gulatas, Hacı Hakan Kılıç, Muhammed Ali Aydın, Haci Hakan Kilic, Zaim, Abdul Halim, Muhammed Ali Aydin, Abdul Halim Zaim, Kilinc, Haci Hakan, Aydin, Muhammed Ali   +11 more
core   +1 more source

Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions

IEEE Access, 2023
Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies.
Nor Zakiah Gorment, Ali Selamat, Lim Kok Cheng, Ondrej Krejcar   +3 more
doaj   +1 more source

Blockchain malware detection tool based on signature technique [PDF]

, 2023
Downloading software or files from the internet can be risky as it is hard to know if they are safe and do not contain viruses. Traditional anti-virus software uses a centralized database to identify malware, but this method has drawbacks due to its ...
Haw, Su Cheng, Chastan, Nevin Gabriel, Zainuddin, Ahmad Anwar, Abdul Rahman, Siti Husna, Haw, Su-Cheng, Nevin Gabriel, Chastan   +5 more
core   +1 more source

Research on the Construction of Malware Variant Datasets and Their Detection Method

Applied Sciences, 2022
Malware detection is of great significance for maintaining the security of information systems. Malware obfuscation techniques and malware variants are increasingly emerging, but their samples and API (application programming interface) sequences are ...
Faming Lu, Zhaoyang Cai, Zedong Lin, Yunxia Bao, Mengfan Tang   +4 more
doaj   +1 more source

HMLET: Hunt Malware Using Wavelet Transform on Cross-Platform

IEEE Access, 2022
As the importance of cyberspace grows, malicious software (malware) is threatening not only individuals but also countries. In addition, numerous malware is still circulating in cyberspace, and as technology advances, new or advanced malware are emerging.
Sangmin Park, Sanghoon Jeon, Huy Kang Kim   +2 more
doaj   +1 more source

MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model.

PLoS ONE, 2022
With the continuous development of deep learning, more and more domains use deep learning technique to solve key problems. The security issues of deep learning models have also received more and more attention.
Yuying Liu, Pin Yang, Peng Jia, Ziheng He, Hairu Luo   +4 more
doaj   +2 more sources

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, Xiuting Ge, Chunrong Fang, Yong Fan   +3 more
doaj   +1 more source

Intensive Malware Detection Approach based on Data Mining

Journal of Applied Engineering and Technological Science, 2023
Malicious software, sometimes known as malware, is software designed to harm a computer, network, or any of the connected resources. Without the user's knowledge, malware can spread throughout their computer system. Malware is typically disseminated via
Israa Ezzat Salem, Karim Hashim Al-Saedi
doaj   +1 more source