2,948 dokumen ditemukan
(Menampilkan 1-20 | Halaman 1 dari 148)
Urutkan
#
Judul
Penulis
Tahun
Akses
Jurnal Institusi
Live Forensics Analysis Of Malware Identified Email Crimes To Increase Evidence Of Cyber Crime
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 13 No. 2 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Now days Email is the most important aplplication on the internet, this make email one of the industry’s most targeted sector for commiting cyber crimes. Email phishing and spam not only harm many parties but also consumes a lot of networ...
Jurnal Institusi
Comparative Study of the Effect of Datasets and Machine Learning Algorithms for PDF Malware Detection
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ; 80-93
This research presents an innovative approach to detecting malicious PDFs through machine learning algorithms, focusing on the expansion of the Evasive-PDFMal2022 dataset. The objective is to enhance the accuracy of detecting malicious PDFs by enrich...
Jurnal Institusi
Ransomware Attacks Threat Modeling Using Bayesian Network: Pemodelan Ancaman Serangan Ransomware Menggunakan Bayesian Network
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi; Vol. 14 No. 1 (2023): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ; 43-56
Ransomware is a dangerous malware that blocks access to data through encryption, and it exploits device vulnerabilities to perform chain attacks from one system to another. This study results in modeling the threat of ransomware attacks using Bayesia...
Jurnal Institusi
Cyber Security Risks in the Rapid Development of Generative Artificial Intelligence: A Systematic Literature Review
ComniTech : Journal of Computational Intelligence and Informatics ; Vol. 1 No. 2 (2024): ComniTech : Journal of Computational Intelligence and Informatics; 57-66
This study aims to identify the cybersecurity risks arising from the use of Generative Artificial Intelligence (GenAI). By employing a systematic literature review (SLR) method and following the PRISMA 2020 guidelines, this research systematically se...
PubMed
Towards a systematic description of the field using bibliometric analysis: malware evolution
Scientometrics
Malware is a blanket term for Trojan, viruses, spyware, worms, and other files that are purposely created to harm computers, mobile devices, or computer networks. Malware commonly steals, encrypts, damages, and causes a mess in these devices. The gro...
PubMed
A Study on the Application of Distributed System Technology-Guided Machine Learning in Malware Detection
Comput Intell Neurosci
In recent years, with the development of information technology, the Internet has become an essential tool for human daily life. However, as the popularity and scale of the Internet continue to expand, malware has also emerged as an increasingly wide...
PubMed
The rise of obfuscated Android malware and impacts on detection methods
PeerJ Comput Sci
The various application markets are facing an exponential growth of Android malware. Every day, thousands of new Android malware applications emerge. Android malware hackers adopt reverse engineering and repackage benign applications with their malic...
PubMed
Digital Forensics for Malware Classification: An Approach for Binary Code to Pixel Vector Transition
Comput Intell Neurosci
The most often reported danger to computer security is malware. Antivirus company AV-Test Institute reports that more than 5 million malware samples are created each day. A malware classification method is frequently required to prioritize these occu...
PubMed
CSMC: A Secure and Efficient Visualized Malware Classification Method Inspired by Compressed Sensing
Sensors (Basel)
With the rapid development of the Internet of Things (IoT), the sophistication and intelligence of sensors are continually evolving, playing increasingly important roles in smart homes, industrial automation, and remote healthcare. However, these int...
PubMed
CyberSentinel: A Transparent Defense Framework for Malware Detection in High-Stakes Operational Environments
Sensors (Basel)
Malware classification is a crucial step in defending against potential malware attacks. Despite the significance of a robust malware classifier, existing approaches reveal notable limitations in achieving high performance in malware classification. ...
PubMed
Detecting Malware with Information Complexity
Entropy (Basel)
Malware concealment is the predominant strategy for malware propagation. Black hats create variants of malware based on polymorphism and metamorphism. Malware variants, by definition, share some information. Although the concealment strategy alters t...
PubMed
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
Entropy (Basel)
Recently, there has been a huge rise in malware growth, which creates a significant security threat to organizations and individuals. Despite the incessant efforts of cybersecurity research to defend against malware threats, malware developers discov...
PubMed
Efficient Windows malware identification and classification scheme for plant protection information systems
Front Plant Sci
Due to developments in science and technology, the field of plant protection and the information industry have become increasingly integrated, which has resulted in the creation of plant protection information systems. Plant protection information sy...
PubMed
AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems
Sci Rep
Due to the widespread usage of Android smartphones in the present era, Android malware has become a grave security concern. The research community relies on publicly available datasets to keep pace with evolving malware. However, a plethora of apps i...
PubMed
Deep learning based Sequential model for malware analysis using Windows exe API Calls
PeerJ Comput Sci
Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection. This study is focused on metamorphic malware, ...
PubMed
AndroDex: Android Dex Images of Obfuscated Malware
Sci 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. As a result, a reliable and large-...
PubMed
An Attribute Extraction for Automated Malware Attack Classification and Detection Using Soft Computing Techniques
Comput Intell Neurosci
Malware has grown in popularity as a method of conducting cyber assaults in former decades as a result of numerous new deception methods employed by malware. To preserve networks, information, and intelligence, malware must be detected as soon as fea...
PubMed
IoT malware: An attribute-based taxonomy, detection mechanisms and challenges
Peer Peer Netw Appl
During the past decade, the Internet of Things (IoT) has paved the way for the ongoing digitization of society in unique ways. Its penetration into enterprise and day-to-day lives improved the supply chain in numerous ways. Unfortunately, the profuse...
PubMed
Intelligent malware detection based on graph convolutional network
J Supercomput
Malware has seriously threatened the safety of computer systems for a long time. Due to the rapid development of anti-detection technology, traditional detection methods based on static analysis and dynamic analysis have limited effects. With its bet...
PubMed
Deep Feature Extraction and Classification of Android Malware Images
Sensors (Basel)
The Android operating system has gained popularity and evolved rapidly since the previous decade. Traditional approaches such as static and dynamic malware identification techniques require a lot of human intervention and resources to design the malw...