Results 21 to 30 of about 26,837,910 (168)
Static Malware Detection Using Stacked BiLSTM and GPT-2
IEEE Access, 2022 In recent years, cyber threats and malicious software attacks have been escalated on various platforms. Therefore, it has become essential to develop automated machine learning methods for defending against malware.
Deniz Demirci +3 more
doaj +1 more source
IoT Malware Detection Based on OPCODE Purification
, 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 +9 more
core +1 more source
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 +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
Learning and classification of malware behavior
, 2022 S.108-125Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variants severely undermine the effectiveness of classical signature ...
Düssel, P. +4 more
core +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 +6 more
doaj +1 more source
Tina-Rezaei/malware-detection: first realease of my paper implementation
, 2020 This is the first release of "a PE Header-based Method for Malware Detection Using Clustering and Deep Embedding ...
Tina-Rezaei
core +1 more source
An epidemic model for the investigation of multi‐malware attack in wireless sensor network
IET Communications, 2023 The protection of wireless sensor networks (WSN) against malware attacks is crucial. The paper discusses the issue of malware attacks in WSN, which are commonly used for monitoring and surveillance in various applications.
Shashank Awasthi +9 more
doaj +1 more source
Combined dynamic multi-feature and rule-based behavior for accurate malware detection
International Journal of Distributed Sensor Networks, 2019 Malware have become the scourge of the century, as they are continuously evolving and becoming more complex with increasing damages. Therefore, an adequate protection against such threats is vital.
Mohamed Belaoued +5 more
doaj +1 more source
vinayakumarr/Android-Malware-Detection v1
, 2019 Android malware detection using static and dynamic ...
Vinayakumar R
core +1 more source