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Surge in malware disguised as AI for SMEs

According to Kaspersky, the most common lures in cyberattacks involved malware posing as ChatGPT, Claude and DeepSeek.
IEEE

Hyperband Tuned Deep Neural Network With Well Posed Stacked Sparse AutoEncoder for Detection of DDoS Attacks in Cloud

Abstract: Cloud computing has very attractive features like elastic, on demand and fully managed computer system resources and services. However, due to its distributed and dynamic nature as well as ...
Frontiers

Protecting digital assets using an ontology based cyber situational awareness system

Cyber situational awareness is critical for detecting and mitigating cybersecurity threats in real-time. This study introduces a comprehensive methodology that integrates the Isolation Forest and ...
Frontiers

A security data detection and management method in digital library network based on deep learning

With the rapid growth of data volume in digital library and the increasingly complex network environment, traditional network security measures are no longer able to meet their security needs. In ...
IEEE

A Malware Detection Approach Using Autoencoder in Deep Learning

Abstract: Today, in the field of malware detection, the expanding limitations of traditional detection methods and the increasing accuracy of detection methods designed on the basis of artificial ...
Scientific Research Publishing

Application of Weighted Cross-Entropy Loss Function in Intrusion Detection ()

1 School of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibing, China. 2 Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization ...
C&EN

Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications

Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States ...