Top Research Papers on Network Security

Starting with the historical evolution of computer and communications networks and their security, the book then arrives at the main definitions of cryptography and network security. Next, the basics of information theory, how to measure information, the information associated with a certain source are also discussed. Source codes are presented, along with the concepts of information transmission, joint information, conditional entropy, mutual information and channel capacity. Computer networks are discussed, including the main protocols and network architectures, and the important TCP/IP prot...

This chapter discusses the chief objectives of securing a network and provides information on information security terminology. The aim of network security is to provide proactive defense methods and mechanisms to protect a network against internal and external threats. The three main objectives in securing a network are to ensure: confidentiality, integrity, and availability. The chapter describes the types of network security and the chief risks related to the logical security of a network. Different kinds of network attacks include reconnaissance attack, password attacks access attacks, net...

This article spotlighting the security in 5G network slicing highlights threats and recommendations, which are presented in terms of life-cycle security, intra-slice security, and inter-sliceSecurity, and identifies and discusses open security issues related to network slicing.

This paper proposes two schemes to guarantee the secure transmission in UAV-NOMA networks by derive the hovering position for the UAV and the power allocation to meet rate threshold of the secure user while maximizing the sum rate of remaining users.

The sixth generation (6G) of mobile network will be composed by different nodes, from macro- devices to nano- devices, providing a full connectivity fabric all around us, and physical-layer security (PLS) can act as a first line of defense, providing security even to low-resourced nodes in different environments.

A blockchain-based secure FL framework to create smart contracts and prevent malicious or unreliable participants from being involved in FL is proposed, which can effectively deter poisoning and membership inference attacks, thereby improving the security of FL in 5G networks.

How security and privacy can be destroyed by attacking one of the three technologies and how the three services support each other to realize efficient and achievable security protection is explained.

The emergence of the Mobile Ad Hoc Networking (MANET) technology advocates self-organized wireless interconnection of communication devices that would either extend or operate in concert with the wired networking infrastructure or, possibly, evolve to autonomous networks. In either case, the proliferation of MANET-based applications depends on a multitude of factors, with trustworthiness being one of the primary challenges to be met. Despite the existence of well-known security mechanisms, additional vulnerabilities and features pertinent to this new networking paradigm might render such tradi...

Anomaly detection is crucial in various applications, particularly cybersecurity and network intrusion. However, a common challenge across anomaly detection techniques is the scarcity of data that accurately represents abnormal behavior, as such behavior is often detrimental to systems and, consequently, rare. This data limitation hampers the development and evaluation of effective anomaly detection methods. In recent years, Generative Adversarial Networks (GANs) have garnered significant attention in anomaly detection research due to their unique capacity to generate new data. This study cond...

The infrastructure of 5G-enabled vehicular networks is presented, the essential security and privacy aspects of V2X in LTE specified by 3GPP are introduced, and several candidate solutions are proposed, including secure group setup with privacy preservation, distributed group key management, and cooperative message authentication are proposed.

The PKC-based McEliece secondary key provides an error correction capacity, which can remove the noise during secondary user allocation and enhance the effectiveness of the spectrum management, which collaborate effectively over the noise channel management.

This survey elaborates the functionality of WBAN, its technologies, building blocks, and a much wider view ofWBAN in terms of security and authentication to serve the bigger goal of providing a bird-eye view of the domain.

A 15-user quantum secure direct communication network based on time–energy entanglement and sum-frequency generation is experimentally demonstrated, and any two users can perform QSDC task over 40 kilometers of optical fiber.

A comprehensive survey of the state-of-the-art QKD secured optical networks, which is going to shape communication networks in the coming decades, and describes the types of quantum hacking attacks on the QD system along with the methods used to prevent them.

A blockchain-enabled UAV softwarization architecture for secure communication and network management that provides dynamic, flexible, and on-the-fly decision capabilities for communication services over the UAV network.

This study analyzes around 75 blockchain-based security schemes for vehicular networks from an application, security, and blockchain perspective, and lists out some common challenges and future research directions in this field.

A comprehensive quality study for researchers on authentication and session keys, integrating IoT with blockchain and AI-based authentication in cybersecurity, and the integration of newer technologies in IoT key management yields enhanced security features.

This survey overviews the recent advancement in PLS techniques with a particular interest in its application to the Internet of Things, and reviews essentially recent PLS techniques aiming at ensuring message confidentiality along with node/message authentication and malicious nodes’ detection.

Numerical results show that the secure transmission in the proposed IRS-NOMA scheme can be effectively guaranteed with the assistance of artificial jamming.

A privacy-preserved, incentive-compatible, and spectrum-efficient framework based on blockchain is developed, which is implemented in two stages, and the operation details of secure spectrum sharing, incentive mechanism design, and efficient spectrum allocation are elaborate.

This survey discusses four key aspects of 6G networks – real-time intelligent edge computing, distributed artificial intelligence, intelligent radio, and 3D intercoms – and some promising emerging technologies in each area, along with the relevant security and privacy issues.

The Bacteria for Aging Optimization Algorithm (BFOA), which finds the ideal hops in advancing the routing, is utilized to offer a trust-based protected and energy-efficient navigation in MANETs using a trust the most vulnerable point in the network, open to attacks including eavesdropping, routing, and application changes.

This survey compares the novel requirement-specific features used by state-of-the-art research models for zero-trust cloud networks, focusing on domain-specific issues plaguing modern cloud computing networks, which leverage choosing and implementing features necessary for future networks and incorporate intelligent security orchestration, automation and response.

This article proposes a beamforming (BF) scheme for a cognitive satellite terrestrial network, where the base station and a cooperative terminal are exploited as green interference resources to enhance the system security performance in the presence of unknown eavesdroppers.

A thorough review of different security and privacy threats and existing solutions that can provide security to social network users and discusses open issues, challenges, and relevant security guidelines to achieve trustworthiness in online social networks.

A taxonomy of RPL attacks, considering the essential attributes like resources, topology, and traffic, is shown for better understanding and a study of existing cross-layered and RPL specific network layer based defense solutions suggested in the literature is carried out.

Experimental results show that the proposed scheme improves the repair rate of multinode data by 9% and data storage rate increased by 8.6%, indicating to be promising with good security and real-time performance.

A UAV-aided NOMA scheme is proposed to achieve simultaneous wireless information and power transfer (SWIPT) and guarantee the secure transmission for ground passive receivers (PRs), in which the nonlinear energy harvesting model is applied.

An alternating optimization (AO) based iterative algorithm leveraging the classical successive convex approximation (SCA) and the semidefinite relaxation (SDR) techniques is proposed to derive the optimal AN model and the RIS parameters and it is found that the proposed algorithm provides better secrecy performance with less AN power compared with the benchmark schemes.

This letter proposes a novel secure intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) system, where the UAV sends confidential messages to a legitimate receiver, in the presence of a passive eavesdropper, using an iterative algorithm based on successive convex approximation (SCA).

Results show that the proposed solution outperforms other semi- cooperative and non-cooperative service composition techniques in terms of efficient service delivery and composition delay, service hit ratio, and suspicious node identification.

The possibility of benefiting from machine learning algorithms by reducing the security costs of wireless sensor networks in several domains is discussed, in addition to the challenges and proposed solutions to improving the ability of sensors to identify threats, attacks, risks, and malicious nodes through their ability to learn and self-development using machineLearning algorithms.

This paper is the first to present the state-of-the-art of security for SAGSIN, since existing surveys focused either on a certain segment or on several segments of the integrated network, and little can be found on the full coverage network.

The blockchain concept and relevant factors that provide a detailed analysis of potential security attacks are discussed and existing solutions that can be deployed as countermeasures to such attacks are presented.

Light is shed on how Ai may impact the security of 5G and its successor from its posture of defender, offender or victim, and potential defenses to safeguard from malevolent Ai are recommended while pointing out their limitations and adoption challenges.

An iterative algorithm is developed, in which the Dinkelbach-type method and block coordinate descent technique are utilized to tackle the fractional objective function and coupled optimization variables, respectively, and the closed-form expression for local computing frequencies optimization subproblem is derived.

This paper proposes a secure communication scheme for the NOMA-based UAV-MEC system towards a flying eavesdropper and results show that the proposed scheme is superior to the benchmarks in terms of the system security computation performance.

The interactions between resilient CPS using ML and resilient ML when applied in CPS are surveyed to have a thorough understanding of recent advances on ML-based security and securing ML for CPS and countermeasures, as well as research trends in this active research area.

Compared with traditional MIMO systems, the RIS-aided system offers better performance in terms of physical layer security, and adopting RIS equipped with a small number of reflecting elements cannot improve the system performance when the path loss of NLoS is small.

This paper introduces a resource-efficient, blockchain-based solution for secure and private IoT, made possible through novel exploitation of computational resources in a typical IoT environment, along with the use of Deep Extreme Learning Machine (DELM).