Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems
The Internet of Things (IoT) is being prominently used in smart cities and a wide range of
applications in society. The benefits of IoT are evident, but cyber terrorism and security …
applications in society. The benefits of IoT are evident, but cyber terrorism and security …
Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models
In the evolving cyber threat landscape, one of the most visible and pernicious challenges is
malware activity detection and analysis. Traditional detection and analysis methods face …
malware activity detection and analysis. Traditional detection and analysis methods face …
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures
Containers are fundamental to pursue the vision of cloud-native applications and implement
frameworks taking advantage of the microservice paradigm. Owing to their rapid diffusion …
frameworks taking advantage of the microservice paradigm. Owing to their rapid diffusion …
LC-IPL: locating covert data in the IPv4 header using LSTM
Abstract Internet Protocol version 4 (IPv4) is the most used Network Layer protocol, thus,
ensuring the security aspect of this protocol is a vital concern. One such aspect includes …
ensuring the security aspect of this protocol is a vital concern. One such aspect includes …
Special issue on intelligent systems: ISMIS 2022 selected papers
Welcome to the special issue on “Intelligent Systems, ISMIS 2022 selected papers”. This
issue contains extended papers from the 2022 edition of the International Symposium on …
issue contains extended papers from the 2022 edition of the International Symposium on …
[PDF][PDF] Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity
Abstract Large Language Models (LLMs) are now a relevant part of the daily experience of
many individuals. For instance, they can be used to generate text or to support working …
many individuals. For instance, they can be used to generate text or to support working …
Deep Learning-Based Steganography for Smart Agriculture
CL Chowdhary, S Vijayan - Enhancing Steganography Through …, 2025 - igi-global.com
This chapter explores integrating deep learning-based steganography with machine
learning to enhance crop disease detection and secure data transmission in smart …
learning to enhance crop disease detection and secure data transmission in smart …