The advent of sixth-generation (6G) networks is expected to start a new era in mobile networks, characterized by unprecedented high demands on dense connectivity, ultra-reliability, low latency, and high throughput. Artificial intelligence (AI) ...

• Security risks and countermeasures of adversarial attacks in essential 6G functions such as radio resource allocation and mobility management
• Security threats of AI-related core functionalities in open radio access networks (O-RAN)

In recent years, serverless computing has gained considerable attention in academic, professional, and business circles. Unique features such as code development flexibility and the cost-efficient pay-as-you-go pricing model have led to ...

Over the past decade, the adoption of Internet of Things (IoT) devices has greatly revolutionized the retail and commerce industries. However, these devices are vulnerable to attacks, such as theft, which raises significant security and privacy ...

5G-assisted Device to Device (D2D) communication can be broadly categorized into three use case scenarios: In Coverage, Relay Coverage, and Out-of Coverage. The main challenge lies in ensuring secure communication in Out-of Coverage scenarios, as ...

In recent years, the website fingerprinting (WF) attack against the Tor anonymity system has become a hot research issue. The state-of-the-art WF studies have shown that the detection accuracy of websites is up to more than 95%. However, they are ...

The popularity of the Android operating system has itself become a reason for privacy concerns. To deal with such malware threats, researchers have proposed various detection approaches using static and dynamic features. Static analysis ...

• Evaluates the efficiency of the manifest file components to detect Android malware.
• Describes the concept of the frequency-based MCDM techniques to rank the features.
• Proposes a novel detection algorithm with ranked features and ...

The development of the industrial Internet of Things enables industrial control systems to become inter-networked and inter-connected, making them intelligent with high productivity. However, these systems are exposed to external environments and ...

Blockchain technology has emerged as a transformative force in various sectors, including finance, healthcare, supply chains, and intellectual property management. Beyond Bitcoin’s role as a decentralized payment system, Ethereum represents a ...

• This survey provides a systematic analysis of privacy preservation techniques in conjunction with the state-of-the-art Deanonymization methods in Blockchain and Ethereum ecosystems.
• The paper suggests potential techniques for the ...

Wireless Sensor Networks (WSNs) security is a serious concern due to the lack of hardware protection on sensor nodes. One common attack on WSNs is the cloning attack, where an adversary captures legitimate nodes, creates multiple replicas, and ...

• The article discusses the significant security concerns in Wireless Sensor Networks (WSNs) focusing on clone attacks.
• The article highlights the drawbacks of current witness node-based approaches for clone detection, diminishing their ...

To accelerate the convergence speed and improve the accuracy of the federated shared model, this paper proposes a Federated Transfer Learning method based on frozen network parameters. The article sets up frozen two, three, and four layers ...

Named Data Networking (NDN) aims to establish an efficient content delivery architecture. In NDN, secure and effective identity authentication schemes ensure secure communication between producers and routers. Currently, there is no feasible ...

In the rapidly changing cybersecurity landscape, threat hunting has become a critical proactive defense against sophisticated cyber threats. While traditional security measures are essential, their reactive nature often falls short in countering ...

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As a distributed learning paradigm, federated learning can be effectively applied to the decentralized system since it can resolve the “data island” problem. However, it is also vulnerable to serious privacy breaches. Although existing secure ...

The widespread adoption of the Internet of Things (IoT) and deep learning (DL) have facilitated a social paradigm shift towards smart cities, accelerating the rapid construction of smart facilities. However, newly constructed facilities often ...

• Proactive maintenance of smart facilities can be achieved with federated learning
• Privacy of FL model parameters can be preserved with fully homomorphic encryption
• Our proposed method FedSTMA outperforms other existing cutting-edge ...

The metaverse is a nascent concept that envisions a virtual universe, a collaborative space where individuals can interact, create, and participate in a wide range of activities. Privacy in the metaverse is a critical concern as the concept ...

In the ever-changing world of technology, continuous authentication and comprehensive access management are essential during user interactions with a device. Split Learning (SL) and Federated Learning (FL) have recently emerged as promising ...

• Continuous authentication on user IoT devices.
• Cluster-Based Resource-aware Split Federated Learning.
• Privacy-preserving decentralized learning for authentication.
• Genetic algorithm resource-aware client selection.
• Machine ...

Barrier coverage in Wireless Sensor Networks (WSNs) plays a pivotal role in surveillance and security applications. It serves as a fundamental mechanism for identifying and detecting potential intruders who endeavor to infiltrate a sensor ...

• Formulate the k-strong barrier problem in heterogeneous wireless sensor networks.
• Propose an exact algorithm, named ExA-KSB, to solve the MMS-KSB problem.
• Prove that ExA-KSB achieves an exact solution within polynomial time ...

Smart contracts are self-executing digital agreements that automatically enforce the terms between parties, playing a crucial role in blockchain systems. However, due to the potential losses of digital assets caused by vulnerabilities, the ...

Modern radio access networks (RANs) are both highly complex and potentially vulnerable to unauthorized security setting changes. A RAN is studied in a proof-of-concept experiment to demonstrate that an unauthorized network state is detectable at ...

The advent of blockchain technology has brought major changes to traditional centralized storage. Therefore, various fields have begun to study the application and development of blockchain. However, blockchain technology has a serious ...