Annals of Telecommunications最新文献

{"title":"Editorial to the special issue on AI for cybersecurity (CSNet 2024)","authors":"Hassan N. Noura, Guy Pujolle, Ola Salman, Nicolas Puech","doi":"10.1007/s12243-025-01141-w","DOIUrl":"10.1007/s12243-025-01141-w","url":null,"abstract":"","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"80 -","pages":"929 - 931"},"PeriodicalIF":2.2,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145963714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maximizing intelligent reflecting surface (IRS) positioning in 5G wireless communication and beyond using genetic algorithms for enhanced spectral efficiency","authors":"Emmanuel Ampoma Affum,&nbsp;Emmanuel Obuobi Kwame Addo,&nbsp;Samuel Tweneboah-Koduah,&nbsp;Louis Owusu Annan,&nbsp;Owusu Agyeman Antwi,&nbsp;Willie Ofosu","doi":"10.1007/s12243-025-01140-x","DOIUrl":"10.1007/s12243-025-01140-x","url":null,"abstract":"<div><p>IRS technology, which consists of passive elements that reflect signals with controlled phase shifts, offers a promising solution for improving signal quality and coverage without requiring additional active components. However, improving spectrum efficiency in IRS-assisted wireless communication systems has proven extremely difficult due to the strategic placement of IRS phase elements, which has received little attention in academia. The performance degradation problem in IRS-assisted communication arises from the imperfect strategic positioning of IRS elements to achieve these objectives in complex IRS wireless environments. To fill this gap between fixed-height and variable-height IRS configurations, this paper addresses the challenge of optimizing IRS placement to maximize spectral efficiency while minimizing interference and resource usage. Fixed-height and variable-height IRS configurations were considered, and comprehensive system models were developed to tackle this challenge. The optimization problem, characterized by its highly non-linear nature, was approached using genetic algorithms. An equal phase shift IRS configuration was initially taken into consideration, in which all IRS elements applied the same phase shift to the incident signals. Because this configuration simplifies and reduces the complexity of the architecture. The findings from the simulations demonstrate that strategic IRS placement can lead to a significant improvement in spectral efficiency significantly compared to non-optimized placements. The study also reveals that even by simplifying equal phase shifts, IRS technology can effectively enhance system performance in scenarios where traditional line-of-sight communication is compromised. These results provide insights into how IRS placement can be optimized in various wireless communication scenarios. Finally, according to our findings, both fixed-height and variable-height IRS systems perform better than non-optimized systems; however, the variable-height IRS configuration shows the greatest increase in spectral efficiency.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"81 5-6","pages":"491 - 506"},"PeriodicalIF":2.2,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147968179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PORVIR-5G: Programmability, ORchestration, and VIRtualization of next-generation networks","authors":"Jose Marcos Nogueira,&nbsp;Paulo H. L. Rettore,&nbsp;Clayson Celes,&nbsp;Fernando G. D. C. Ferreira,&nbsp;Daniel Fernandes Macedo,&nbsp;Juliano Araujo Wickboldt,&nbsp;Vinicius F. S. Mota,&nbsp;Magnos Martinello,&nbsp;Rodolfo S. Villaca,&nbsp;Cristiano Bonato Both,&nbsp;Christian Rodolfo E. Rothenberg","doi":"10.1007/s12243-025-01136-7","DOIUrl":"10.1007/s12243-025-01136-7","url":null,"abstract":"<div><p>This paper describes the goals, current state, and future directions of the PORVIR-5G project, which aims to develop and demonstrate a programmable fronthaul and backhaul integrating wireless with optical-packet networks and cloud computing solutions. The project exploits virtual network splits that optimize resource allocation across the wireless, optical, packet, and compute/storage domains. The key enablers for PORVIR-5G are (i) packet slicing, wireless, and optical resources, controlled by (ii) deep programmability interfaces, where devices are configured by network functions to provide the required performance for future applications on the Internet. This programmability allows for a more refined (iii) end-to-end and multilayer orchestration, considering the users’ quality of experience (QoE) for each type of application over the network. This paper also validates and demonstrates the proposed programmability and virtualization capabilities of the PORVIR-5G through demonstrations, thereby enabling the key performance demands of 5G networks.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"81 5-6","pages":"429 - 450"},"PeriodicalIF":2.2,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147967951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new similarity-based classification scheme of drone network attacks","authors":"Salah-Dine Maham,&nbsp;Guy Pujolle,&nbsp;Atiq Ahmed,&nbsp;Dominique Gaiti","doi":"10.1007/s12243-025-01139-4","DOIUrl":"10.1007/s12243-025-01139-4","url":null,"abstract":"<div><p>The Internet of drones (IoD) paradigm is an emerging technology that has gained significant attention from the research community in the recent years. Drone networks are now widely utilized in various sectors and industries. However, like all emerging technologies, these networks face numerous challenges, with security being the most critical. The wireless nature of drone communication makes them vulnerable to a variety of cyber attacks. In addition, the limited resources of drones pose challenges in implementing effective security solutions. This paper proposes a new approach to classifying drone cyber-attacks based on their similarities. We introduce a new step-by-step framework model to classify cyber attacks. Then, we highlight the existence of commonalities between different cyber attacks that can occur in drone network systems. This classification will serve as the foundation for the development of future unified solutions capable of efficiently mitigating multiple attack types simultaneously.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"80 -","pages":"1121 - 1141"},"PeriodicalIF":2.2,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145963709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic virtual network embedding for task offloading in IoV: GAT-assisted HDRL approach","authors":"Ihsan Ullah,&nbsp;Youn-Hee Han","doi":"10.1007/s12243-025-01138-5","DOIUrl":"10.1007/s12243-025-01138-5","url":null,"abstract":"<div><p>Efficient task offloading in the Internet of Vehicles (IoV) is crucial to meet the increasing demand for computational resources. However, the dynamic and heterogeneous nature of IoV networks presents significant challenges in selecting optimal offloading destinations across edge, cloud, or neighboring vehicles. To address these challenges, this paper proposes an innovative approach that integrates virtual network embedding (VNE) with graph attention networks (GAT) and hierarchical deep reinforcement learning (HDRL) to enhance task offloading performance in IoV environments. GAT enables the model to capture complex topological dependencies between IoV nodes, improving the accuracy of resource selection by considering both network dynamics and task requirements. HDRL facilitates sequential decision-making within a hierarchical framework, optimizing task offloading decisions at multiple levels (vehicle, edge, cloud) based on long-term system performance metrics such as latency, energy efficiency, and task acceptance rates. Our VNE framework intelligently maps virtual networks, designed to reflect task requirements, to the best available resources. This approach maximizes resource efficiency while minimizing offloading delays. Simulation results demonstrate that the proposed approach significantly improves task offloading in the IoV compared to traditional methods. It achieves lower latency, better resource utilization, and higher task acceptance rates, showcasing its potential to enhance the overall efficiency of task management in next-generation vehicular networks.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"81 5-6","pages":"473 - 489"},"PeriodicalIF":2.2,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147967922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"OTFS-inspired joint channel and data estimation for OFDM","authors":"Basil K. Jeemon,&nbsp; Shahana T. K","doi":"10.1007/s12243-025-01135-8","DOIUrl":"10.1007/s12243-025-01135-8","url":null,"abstract":"<div><p>The orthogonal frequency division multiplexing (OFDM) is a prominent modulation technique used in modern communication systems. In OFDM, the wireless channel is modeled as an inter-symbol interference (ISI) channel, not considering the channel reflectors’ Doppler component. This results in serious performance degradation in doubly spread multipath channels. This paper proposes a channel estimation scheme for OFDM to estimate the delay-Doppler (DD) domain, thus overcoming this shortcoming. The proposed technique is inspired by the orthogonal time frequency space (OTFS) waveform structure, a two-dimensional modulation technique designed to handle wireless communication in high-mobility scenarios. The principles of convex optimization and active constellation extension (ACE) optimize the signal in both the time-frequency (TF) and DD domains. The proposed approach strengthens OFDM performance against mobility-induced impairments, thereby enabling OFDM to achieve BER performance comparable to OTFS in high-mobility scenarios. A comparative study of the proposed method with three popular techniques for channel estimation in OTFS, namely impulse-based estimation, embedded pilot-based estimation, and orthogonal matching pursuit (OMP)-based estimation was performed. The efficacy of the proposed technique is illustrated with Monte Carlo simulations.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"81 5-6","pages":"417 - 427"},"PeriodicalIF":2.2,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147968030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A survey on mobility management in beyond 5G ultra-dense networks","authors":"Bahadır Yalın,&nbsp;Tarık Veli Mumcu","doi":"10.1007/s12243-025-01137-6","DOIUrl":"10.1007/s12243-025-01137-6","url":null,"abstract":"<div><p>Providing higher frequency and wider bandwidths for communication are significant benefits of 5G. On the other hand, it is required to deploy various systems to achieve the full potential of these benefits. Furthermore, the dramatic increase in mobile devices poses critical challenges to ensure these advantages. Thus, ultra-dense networking (UDN) has been proposed as a solution to enhance connectivity in 5G and beyond. However, when the complexity of this architecture is considered, additional challenges are also introduced. This study explores the impact of 5G UDN on mobility management, examining both the issues that UDN can mitigate and the new complexities it introduces. In addition, potential research directions are discussed to improve mobility management. The primary contribution of this study is to provide information on how UDN can collaborate with other 5G enabling technologies to improve mobility management in beyond 5G (B5G) networks.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"81 5-6","pages":"451 - 471"},"PeriodicalIF":2.2,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147967986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large language models: applications, limitations, challenges, and recommendations in cybersecurity, digital forensics, and ethical hacking","authors":"Jean Paul A. Yaacoub,&nbsp;Hassan N. Noura,&nbsp;Ola Salman,&nbsp;Guy Pujolle","doi":"10.1007/s12243-025-01134-9","DOIUrl":"10.1007/s12243-025-01134-9","url":null,"abstract":"<div><p>Large Language Models (LLMs) are a significant leap in Artificial Intelligence (AI), providing tremendous capabilities for understanding and creating human-like language. LLMs offer significant advantages in automating and enhancing cybersecurity practices, but their deployment in sensitive domains like cybersecurity, ethical hacking, and digital forensics is a challenge. LLMs improve cybersecurity, digital forensics, and ethical hacking by automating processes such as reconnaissance and advanced attack simulation to confront new digital threats. This study examines LLMs’ strengths and weaknesses and proposes mitigation strategies, such as encryption, adversarial training, and strict data governance, to ensure their safe and effective integration in high-stakes situations. The results highlight the necessity of ongoing improvement, supervision, and ethical concerns to fully utilise LLM while reducing dangers and guaranteeing its appropriate deployment.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"80 -","pages":"933 - 973"},"PeriodicalIF":2.2,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145963708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SDN-API-Sec-Fast: a performance-enhanced conflict-free blockchain-based authorization for cross-domain SDNs","authors":"Majd Latah,&nbsp;Kubra Kalkan","doi":"10.1007/s12243-025-01133-w","DOIUrl":"10.1007/s12243-025-01133-w","url":null,"abstract":"<div><p>Software-defined networking (SDN) is a pioneering paradigm that adds a new level of management and programmability to computer networks. Despite its benefits, SDN opens the door for new attacks against the network by targeting different SDN components, especially when they need to interact with each other through application programming interfaces (APIs). In this work, we focus on protecting those APIs by proposing SDN-API-Sec-Fast, a cross-domain access control method based on the key characteristics of blockchain technology. We enhance our previous work SDN-API-Sec by introducing SDN-API-Sec-Fast, which combines conflict detection with read-only mode to achieve better performance. We investigate the performance of the blockchain side and the overall authorization process.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"80 -","pages":"997 - 1014"},"PeriodicalIF":2.2,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145963710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SafeHerd: a privacy-preserving AI-powered solution for secure epidemic contact tracing in smart agriculture","authors":"Rihab Boussada,&nbsp;Leila Nasraoui,&nbsp;Leila Azouz Saidane","doi":"10.1007/s12243-025-01132-x","DOIUrl":"10.1007/s12243-025-01132-x","url":null,"abstract":"<div><p>The transmission of infectious diseases in livestock threatens food security, animal welfare, and rural economies. Traditional contact tracing methods are ineffective in large-scale mobile agriculture systems due to limitations in scalability, infrastructure, and privacy. We introduce <i>SafeHerd</i>, a scalable, privacy-preserving framework for tracing epidemic contact in cattle farming. The system employs a hybrid sensing architecture: Bluetooth-enabled “leader” devices perform secure proximity exchanges with other leaders and detect passive RFID/NFC “follower” tags. Proximity events are recorded using ephemeral ECDHE exchanges and ECDSA signatures. Contact logs undergo local statistical filtering based on Poisson models and are then classified using lightweight machine learning algorithms at the farm gateway. Verified exposure tokens are anonymized and submitted to a central authority, which processes them through a layered AI pipeline that includes Isolation Forests, Autoencoders, DBSCAN, and LSTM encoders. Designed for intermittent connectivity and ESP32-class hardware, SafeHerd achieves strong performance in latency, memory usage, and communication overhead. By integrating cryptographically secure IoT sensing with decentralized AI analytics, SafeHerd enables efficient and reliable epidemic monitoring tailored to livestock environments.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"81 7-8","pages":"569 - 590"},"PeriodicalIF":2.2,"publicationDate":"2025-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148552896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}