Results 101 to 110 of about 22,040,867 (216)

Attention-Based Automated Feature Extraction for Malware Analysis. [PDF]

Sensors (Basel), 2020
Choi S, Bae J, Lee C, Kim Y, Kim J.
europepmc   +1 more source

Deep learning based Sequential model for malware analysis using Windows exe API Calls. [PDF]

PeerJ Comput Sci, 2020
Catak FO, Yazı AF, Elezaj O, Ahmed J.
europepmc   +1 more source

Android malware family classification based on resource consumption over time

, 2017
The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years.
Baldoni, R., Ciccotelli, Claudio, Roberto Baldoni, Ucci, Daniele, Luca Massarelli, Massarelli, L, Claudio Ciccotelli, Baldoni, Roberto, Ucci, D., Massarelli, Luca, Querzoni, L., Leonardo Querzoni, Ciccotelli, C, Leonardo Aniello, Daniele Ucci, Querzoni, Leonardo, Aniello, L, Aniello, Leonardo   +17 more
core   +1 more source

Incremental clustering method based on Gaussian mixture model to identify malware family

Tongxin xuebao, 2019
Aiming at the logical similarity of the behavioral characteristics of malware belonging to the same family,the characteristics of malware were extracted by tracking the logic rules of API function call from the perspective of behavior detection,and the ...
Jianwei HU, Xin CHE, Man ZHOU, Yanpeng CUI   +3 more
doaj   +2 more sources

Redefining Malware Sandboxing: Enhancing Analysis Through Sysmon and ELK Integration

IEEE Access
In cybersecurity, adversaries employ a myriad of tactics to evade detection and breach defenses. Malware remains a formidable weapon in their arsenal. To counter this threat, researchers unceasingly pursue dynamic analysis, which aims to comprehend and ...
Rasmi-Vlad Mahmoud, Marios Anagnostopoulos, Sergio Pastrana, Jens Myrup Pedersen   +3 more
doaj   +1 more source

MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis

IEEE Access
As traditional signature-based malware analysis struggles to detect malware variants, image-based malware analysis has been researched to overcome these limitations.
In-Woong Jeong, Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi   +3 more
doaj   +1 more source

Android Applications Security [PDF]

The use of smartphones worldwide is growing very fast and also the malicious attacks have increased. The mobile security applications development keeps the pace with this trend. The paper presents the vulnerabilities of mobile applications.
Paul POCATILU
core  

Scalable, Automatic Malware Analysis

, 2018
In the realm of this computing age, malware is becoming steadily more prevalent. With the amount of malware samples taken from the wild increasing, malware analysis is becoming increasingly necessary.
Sommers, Allison Kate
core   +1 more source

The potential use of botnets in malware detection

, 2023
Manapság a kiberbűnözés hatalmas méreteket öltött. Súlyos károkat okozva mind az átlagos felhasználóknak mind az ipari és állami szereplőknek. Ennek okán a malwarek lehetséges detektálása és semlegesítése egy rendkívül fontos és aktuális témakör.
Sántha, Máté Imre
core  

AndroDex: Android Dex Images of Obfuscated Malware

Scientific Data
With the emergence of technology and the usage of a large number of smart devices, cyber threats are increasing. Therefore, research studies have shifted their attention to detecting Android malware in recent years.
Sana Aurangzeb, Muhammad Aleem, Muhammad Taimoor Khan, George Loukas, Georgia Sakellari   +4 more
doaj   +1 more source