Authentication, access control and scalability models in Internet of Things Security–A review
December 2025
The Internet of Things (IoT) leads to the next phase of human interaction with technology. With the help of the IoT, physical objects can be given the ability to generate, receive, and seamlessly trade...
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Survey of techniques to detect common weaknesses in program binaries
December 2025
Software vulnerabilities resulting from coding weaknesses and poor development practices are common. Attackers can exploit these vulnerabilities and impact the security and privacy of end-users. Most...
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Securing IoT devices with fast and energy efficient implementation of PRIDE and PRESENT ciphers
December 2025
The rise of low-power, cost-efficient internet-connected devices has led to a need for lightweight cryptography. The lightweight block cipher PRIDE, designed by Martin R. Albrecht, is one of the most...
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An improved three factor authentication protocol for wireless body area networks
December 2025
Wireless Body Area Networks (WBAN) is a concrete solution for the healthcare system, and it is paramount to ensure the sensed data by the WBAN sensors is secure against vulnerable threats and inaccessible...
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An approach for assessing the functional vulnerabilities criticality of CPS components
December 2025
•A method for assessing the vulnerability criticality of CPS components is proposed.•CVSS scores are used for quantitative vulnerability analysis.•BAG is generated based on the CPS structure, considering...
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Distributed and trustworthy digital twin platform based on blockchain and Web3 technologies
December 2025
The fourth industrial revolution has significantly increased the adoption of Digital Twins (DTs) across various sectors, including intelligent manufacturing, automation, logistics, and medical analysis....
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A novel approach for handling missing data to enhance network intrusion detection system
December 2025
Managing missing data is a critical challenge in Intrusion Detection System (IDS) datasets, significantly affecting the performance of deep learning models. To address this issue, we introduce DeepLearning_Based_MissingData_Imputation...
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A survey on scalable consensus algorithms for blockchain technology
December 2025
The process of reaching an agreement on a value within a distributed network, known as a consensus problem, is a defining feature of blockchain. This consensus problem can be seen in various applications...
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Securing industry 4.0: Assessing cybersecurity challenges and proposing strategies for manufacturing management
December 2025
Industry 4.0 represents the foundation of the fourth industrial revolution, characterised by the integration of innovative technology into the manufacturing process. This integration enhances automation,...
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Federated learning-based intrusion detection system for the internet of things using unsupervised and supervised deep learning models
December 2025
The adoption of the Internet of Things (IoT) in our technology-driven society is hindered by security and data privacy challenges. To address these issues, Artificial Intelligence (AI) techniques such...
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EMAKAS: An efficient three-factor mutual authentication and key-agreement scheme for IoT environment
December 2025
The adoption of IoT in healthcare revolutionizes remote patient monitoring and healthcare efficiency. Yet, it brings notable security and privacy challenges, particularly in resource-constrained environment....
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Bankruptcy forecasting in enterprises and its security using hybrid deep learning models
December 2025
In current scenario when economic and risk management sectors need accurate predictions of enterprise bankruptcy, it is very importance issue to research in the field of security of enterprise bankruptcy....
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An effective steganographic technique for hiding the image data using the LSB technique
December 2025
Steganography is the art and science of writing secret messages so that neither the sender nor the intended recipient knows there is a hidden message. Data hiding is the art of hiding data for various...
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Neural secret key enabled secure cloud storage with efficient packet checker algorithm
December 2025
Cloud computing technology is utilized for the commercial purpose of implementing virtualization for the storage of data, which is then controlled and made accessible to users via remote servers. With...
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A comprehensive investigation into robust malware detection with explainable AI
December 2025
In today’s digital world, malware poses a serious threat to security and privacy by stealing sensitive data and disrupting computer systems. Traditional signature-based detection methods have become...
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Automatic intrusion detection model with secure data storage on cloud using adaptive cyclic shift transposition with enhanced ANFIS classifier
December 2025
Cloud computing has emerged as a pivotal technology in the computer electronics industry, offering users significant computing power and ample storage space. Security threats pose significant challenges...
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Addressing cybersecurity challenges in robotics: A comprehensive overview
December 2025
As robotics technology becomes increasingly integrated into various sectors, ensuring the cybersecurity of robotic systems is paramount. This article provides an in-depth exploration of the cybersecurity...
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Novel hybrid deep learning based cyber security threat detection model with optimization algorithm
December 2025
In order to continuously provide services to the company, the Internet of Things (IoT) connects the hardware, software, storing data, and applications that could be utilized as a new port of entry for...
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Towards superior android ransomware detection: An ensemble machine learning perspective
December 2025
Ransomware remains a pervasive threat to Android devices, with its ability to encrypt critical data and demand ransoms causing significant disruptions to users and organizations alike. This research...
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Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: A paradigm shift in cybersecurity assessment
December 2025
As cybersecurity threats evolve alarmingly, conventional defense strategies are becoming increasingly ineffective. In response to this urgent challenge, our study presents a transformative approach...
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A comprehensive literature review on ransomware detection using deep learning
December 2025
The manifold rise in ransomware attacks noted highest in 2023 posing a serious trepidation for cyber professionals to be active watchdogs of the early detection techniques. Ransomware is a type of malware...
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Software defined network and graph neural network-based anomaly detection scheme for high speed networks
December 2025
In recent years, the proliferation of Software-Defined Networking (SDN) has revolutionized network management and operation. However, with SDN’s increased connectivity and dynamic nature, security threats...
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Comparison of mitigating DDoS attacks in software defined networking and IoT platforms
December 2025
The Software-Defined Networking (SDN) paradigm redefines the term "network" by enabling network managers to programmatically initialize, control, alter, and govern network behavior. Network engineers...
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Earthworm Optimization Algorithm Based Cascade LSTM-GRU Model for Android Malware Detection
Available online 2 January 2025
The rise in mobile malware risks brought on by the explosion of Android smartphones required more efficient detection techniques. Inspired by a cascade of Long Short-Term Memory (LSTM) and Gated Recurrent...
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An application for predicting phishing attacks: A case of implementing a support vector machine learning model
2024
The imminent threat that phishing websites poses is a major concern for internet users worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy and deceive vulnerable...
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