Results 101 to 110 of about 12,725 (233)

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

The sound of malware: an audio fingerprinting malware detection method

International Journal of Information Security
Abstract The increasing complexity of Android malware has increased the need for efficient detection methods. Researchers have introduced new frameworks for analyzing Android malware in response to the growing threat of malicious applications.
Efstratios Vasilellis, Thanos Katsiolis, Dimitris Gritzalis, George Stergiopoulos, Christina Sotiriou   +4 more
openaire   +1 more source

On rootkit and malware detection in smartphones

2010 International Conference on Dependable Systems and Networks Workshops (DSN-W), 2010
Dramatic increase in smartphone sales and third-party applications that users can download has significantly increased the possibility of rootkits and malware targeted for smartphones. This paper discusses the current state of research in detection and mitigation of propagation of malicious code, such as viruses, malware and even rootkits in ...
Bryan Dixon, Shivakant Mishra
openaire   +1 more source

Malware evasion techniques : how to bypass endpoint detection and response solutions

, 2023
LAUREA MAGISTRALEI sistemi noti come "Endpoint Detection and Response" rappresentano una linea di difesa critica nell’identificare e contrastare le minacce informatiche, in particolare gli attacchi di malware.
Pellizzer, Massimiliano
core  

TriggerOne : backdoor-injection attacks on pre-trained models for malware detection [PDF]

, 2022
LAUREA MAGISTRALECon l'avvento delle reti neurali, e la loro applicazione nel campo della malware detection è stato introdotto un nuovo e potente strumento, in grado di analizzare file binari e identificare attività malevole.
Di CESARE, FEDERICO
core  

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

Obfuscated Memory Malware Detection

CoRR
Providing security for information is highly critical in the current era with devices enabled with smart technology, where assuming a day without the internet is highly impossible. Fast internet at a cheaper price, not only made communication easy for legitimate users but also for cybercriminals to induce attacks in various dimensions to breach privacy
Sharmila S. P, Aruna Tiwari, Narendra S. Chaudhari   +2 more
openaire   +2 more sources

Combat Mobile Evasive Malware via Skip-Gram-Based Malware Detection

, 2020
Android malware detection is an important research topic in the security area. There are a variety of existing malware detection models based on static and dynamic malware analysis.
Aygun, R. Can, EĞİTMEN, Alper, Gunduz, A. Bilge, Bulut, Irfan, Seyrekbasan, Omer, YAVUZ, Ali Gökhan   +5 more
core   +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