Results 91 to 100 of about 4,236,332 (208)

From Static to AI-Driven Detection: A Comprehensive Review of Obfuscated Malware Techniques

IEEE Access
The frequency of cyber attacks targeting individuals, businesses, and organizations globally has escalated in recent years. The evolution of obfuscated malware, designed to evade detection, has been unprecedented, employing new and sophisticated ...
Saranya Chandran, Sreelakshmi R. Syam, Sriram Sankaran, Tulika Pandey, Krishnashree Achuthan   +4 more
doaj   +1 more source

Malware Clustering Using Family Dependency Graph

IEEE Access, 2019
Malware brings a major security threat on the Internet today. It is not surprising that much research has concentrated on detecting malware. Unfortunately, the current malware detection approaches suffer from ineffective detection of new malware samples.
Binlin Cheng, Qiang Tong, Jianhong Wang, Wenhui Tian   +3 more
doaj   +1 more source

An Android Malicious Code Detection Method Based on Improved DCA Algorithm

Entropy, 2017
Recently, Android malicious code has increased dramatically and the technology of reinforcement is increasingly powerful. Due to the development of code obfuscation and polymorphic deformation technology, the current Android malicious code static ...
Chundong Wang, Zhiyuan Li, Liangyi Gong, Xiuliang Mo, Hong Yang, Yi Zhao   +5 more
doaj   +1 more source

MALWARE DETECTION BASED ON OPCODE FREQUENCY

, 2023
Elshan Baghirov
openalex   +1 more source

A study of the relationship of malware detection mechanisms using Artificial Intelligence

ICT Express
Implementation of malware detection using Artificial Intelligence (AI) has emerged as a significant research theme to combat evolving various types of malwares.
Jihyeon Song, Sunoh Choi, Jungtae Kim, Kyungmin Park, Cheolhee Park, Jonghyun Kim, Ikkyun Kim   +6 more
doaj   +1 more source

Retracted: Analysis of Malware Detection and Signature Generation Using a Novel Hybrid Approach [PDF]

, 2023
Mathematical Problems in Engineering
openalex   +1 more source

Static analysis framework for permission-based dataset generation and android malware detection using machine learning

EURASIP Journal on Information Security
Since Android is the popular mobile operating system worldwide, malicious attackers seek out Android smartphones as targets. The Android malware can be identified through a number of established detection techniques.
Amarjyoti Pathak, Th. Shanta Kumar, Utpal Barman   +2 more
doaj   +1 more source

Optimal Weighted Voting-Based Collaborated Malware Detection for Zero-Day Malware: A Case Study on VirusTotal and MalwareBazaar

Future Internet
We propose a detection system incorporating a weighted voting mechanism that reflects the vote’s reliability based on the accuracy of each detector’s examination, which overcomes the problem of cooperative detection. Collaborative malware detection is an
Naonobu Okazaki, Shotaro Usuzaki, Tsubasa Waki, Hyoga Kawagoe, Mirang Park, Hisaaki Yamaba, Kentaro Aburada   +6 more
doaj   +1 more source

Android Malware Detection by Correlated Real Permission Couples Using FP Growth Algorithm and Neural Networks [PDF]

, 2023
Abhinandan Banik, Jyoti Prakash Singh
openalex   +1 more source

Malware Detection Using Tlsh and Deep Learning

, 2023
Ankita Patil, M. K. Chavan
openalex   +1 more source