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Energy Science &Engineering, Volume 14, Issue 8, Page 3948-3973, August 2026.By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
Detecting and combating Malware [PDF]
, 2011 This master thesis observes a process improvement on detecting Malware, although new methods for combating malware have been developed, it is still difficult to communicate and share useful information garnered through these techniques without ambiguity ...
Kingsley Ezechi, Azuama
core
Android Malware Detection Technology Based on Deep Convolutional Neural Network
四川大学学报. 自然科学版, 2020 The rapid iteration of the Android system and its open source features have resulted in many variants of Android malware, which brings great challenges to the classification and detection of Android malware.
GAO Yang-Chen +3 more
doaj
Android malware detection method based on deep neural network
网络与信息安全学报, 2020 Android is increasingly facing the threat of malware attacks. It is difficult to effectively detect large-sample and multi-class malware for traditional machine learning methods such as support vector machine, method for Android malware detection and ...
CHAO Fan, YANG Zhi, DU Xuehui, SUN Yan
doaj +1 more source
Security Assessment of Private Package Repositories: An Experience on Acc‐Py at CERN
Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.ABSTRACT The introduction of package managers had a huge impact on software development, as they facilitate dependency management and the access to reusable code components. However, reliance on centralized repositories introduces security risks, as they are increasingly exploited in supply chain attacks.
Michele Lizzit +3 more
wiley +1 more source
Classification of Malware Images Using Fine-Tunned ViT
Sakarya University Journal of Computer and Information SciencesMalware detection and classification have become critical tasks in ensuring the security and integrity of computer systems and networks. Traditional methods of malware analysis often rely on signature-based approaches, which struggle to cope with the ...
Özal Yıldırım, Oğuzhan Katar
doaj +1 more source
Toward a Persona‐Driven Approach in Cybersecurity: Insights From a Systematic Literature Review
Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.ABSTRACT In recent years, developing secure yet usable systems has been one of the top concerns in cybersecurity research and practice. Research indicates that many data breaches and other cybercrimes directed toward exploiting human factors could be prevented by an inclusive and human‐centered cybersecurity design.
Daria Levaniuk +3 more
wiley +1 more source
, 2020 There are several websites, applications and resources that a user visits every day. Some of the resources have malicious threats and harmful entities.
Raza, Muhammad Hassan, Dubey, Shubhankar
core
Humans vs. Machines in Malware Classification
, 2023 International audienceToday, the classification of a file as either benign or malicious is performed by a combination of deterministic indicators (such as antivirus rules), Machine Learning classifiers, and, more importantly, the judgment of human ...
Han, Yufei +3 more
core +1 more source
File Entropy Signal Analysis Combined With Wavelet Decomposition for Malware Classification
IEEE Access, 2020 With the rapid development of the Internet, malware variants have increased exponentially, which poses a key threat to cyber security. Persistent efforts have been made to classify malware variants, but there are still many challenges, including the ...
Hui Guo +5 more
doaj +1 more source