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ISSN: 2772-9184

Authentication, access control and scalability models in Internet of Things Security–A review

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

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

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

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

•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

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

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

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

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

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

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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An effective steganographic technique for hiding the image data using the LSB technique

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

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

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

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

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

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

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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An application for predicting phishing attacks: A case of implementing a support vector machine learning model

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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SDN enabled role based shared secret scheme for virtual machine security in cloud environment

Cloud computing has given a new direction towards the usage of resources based on the demand without depending on the location. Even though there are many advantages with cloud computing there are challenges...

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Security analysis of cyber physical system using digital forensic incident response

There is a great demand for an efficient security tool which can secure IIoT systems from potential adversarial attacks. However, it is challenging to design a suitable security model for IIoT considering...

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Quantum vs post‐quantum security for future networks: Survey

Classical cryptography (crypt) schemes (sche) have been compromised by the practical results on quantum (q) computers in recent years. Nowadays these sche ‘s can be compromised by using the Shor's methodology....

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Any Bluetooth device can be hacked. Know how?

In today's world, Bluetooth technology is integrated into almost every device we use, from wireless headsets, mice, and keyboards to cars and smart home devices. But with the convenience of this technology...

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A novel dual optimized IDS to detect DDoS attack in SDN using hyper tuned RFE and deep grid network

Technological advancement is one of the factors contributing to a rise of susceptible cyberattacks. Distributed denial of service (DDoS) attack reduces the efficiency of network servers by saturating...

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Automatic generation of security protocols attacks specifications and implementations

Confidence in a communication protocol’s security is a key requirement for its deployment and long-term maintenance. Checking if a vulnerability exists and is exploitable requires extensive expertise....

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