A review of anomaly detection strategies to detect threats to cyber-physical systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …
components. CPS has experienced rapid growth over the past decade in fields as disparate …
Recent advances in machine learning-based models for prediction of antiviral peptides
Viruses have killed and infected millions of people across the world. It causes several
chronic diseases like COVID-19, HIV, and hepatitis. To cope with such diseases and virus …
chronic diseases like COVID-19, HIV, and hepatitis. To cope with such diseases and virus …
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Abstract The Internet of Medical Things (IoMT) is increasingly replacing the traditional
healthcare systems. However, less focus has been paid to their security against cyber …
healthcare systems. However, less focus has been paid to their security against cyber …
Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems
Abstract Industrial Internet of Things (IIoT) networks involves heterogeneous technological
and manufacturing services and devices. The communication and data exchange …
and manufacturing services and devices. The communication and data exchange …
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Accurate identification of drug-targets in human body has great significance for designing
novel drugs. Compared with traditional experimental methods, prediction of drug-targets via …
novel drugs. Compared with traditional experimental methods, prediction of drug-targets via …
An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles
IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary information
In extremely cold environments, living organisms like plants, animals, fishes, and microbes
can die due to the intracellular ice formation in their bodies. To sustain life in such cold …
can die due to the intracellular ice formation in their bodies. To sustain life in such cold …
Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques
K Venkatesan, SB Rahayu - Scientific Reports, 2024 - nature.com
In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
techniques to address the challenges and vulnerabilities in blockchain networks …
techniques to address the challenges and vulnerabilities in blockchain networks …
Fed-inforce-fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks
Abstract Internet of Medical Things (IoMT) has emerged as a combination of sensors,
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
healthcare devices, and Internet of Things (IoT) to deliver better and intelligent healthcare …
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
To improve the prediction of DNA-binding Proteins (DBPs), this paper presents a deep
learning-based method, named DBP-CNN. To efficiently extract the important features, we …
learning-based method, named DBP-CNN. To efficiently extract the important features, we …