Journal Information

Computer Networks (CN)

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Impact Factor:
4.7
Publisher:
Elsevier
ISSN:
1389-1286
Viewed:
113561
Tracked:
111
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Call For Papers

Computer Networks (CN) is an academic journal published by Elsevier. (ISSN 1389-1286, impact factor 4.7, CCF B).

Aims & Scope The International Journal of Computer and Telecommunications Networking Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups. SUBJECT COVERAGE The topics covered by the journal but not limited to these are: 1. Communication Network Architectures: New design contributions on Local Area Networks (LANs), Metropolitan Area Networks (MANs), Wide Area Networks (WANs) including Wired, Wireless, Mobile, Cellular, Sensor, Optical, IP, ATM, and other related network technologies, as well as new switching technologies and the integration of various networking paradigms. 2. Communication Network Protocols: New design contributions on all protocol layers except the Physical Layer, considering all types of networks mentioned above and their performance evaluation; novel protocols, methods and algorithms related to, e.g., medium access control, error control, routing, resource discovery, multicasting, congestion and flow control, scheduling, multimedia quality of service, as well as protocol specification, testing and verification. 3. Network Services and Applications: Web, Web caching, Web performance, Middleware and operating system support for all types of networking, electronic commerce, quality of service, new adaptive applications, and multimedia services. 4. Network Security and Privacy: Security protocols, authentication, denial of service, anonymity, smartcards, intrusion detection, key management, viruses and other malicious codes, information flow, data integrity, mobile code and agent security. 5. Network Operation and Management: Including network pricing, network system software, quality of service, signaling protocols, mobility management, power management and power control algorithms, network planning, network dimensioning, network reliability, network performance measurements, network modeling and analysis, and overall system management. 6. Discrete Algorithms and Discrete Modeling Algorithmic and discrete aspects in the context of computer networking as well as mobile and wireless computing and communications. Fostering cooperation among practitioners and theoreticians in this field.TYPES OF CONTRIBUTIONS CONSIDERED The primary purpose of the journal is to publish original and complete papers covering a specific topic or project in the above mentioned areas in sufficient detail and depth to be of practical use to interested readers. The readers should benefit from the novel solutions and analyses presented in the papers. Enhanced, extended versions of quality papers presented at conferences or workshops can be submitted to our journal for review. Note that papers which were already published with the same contents or simultaneous submission of the same paper to other journals or conferences will not be considered for publication in our journal and will be immediately rejected. Dataset Articles. Computer Networks also publishes micro-articles that describe open datasets available in a redacted and organized way. The purpose is for researchers to easily share and reuse each other's datasets by publishing data articles that: (i) Describe collected data in detail, facilitating reproducibility of experiments and improvements over proposed techniques, thus promoting rigorous experimentation and data analysis. (ii) Describe tools developed to collect, analyze, and visualize data. Open-Source Software Articles. Computer Networks additionally publishes micro-articles that describe open source software that has been used to obtain scholarly results in the area of computer networks. This may include articles describing discrete-event or other simulators, emulation tools, software implementations of networking and communication functionalities and protocols, standard implementations, monitoring tools, among others.
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Special Issues

Special Issue on Agentic AI Networking (AgenNet) Submission Date: 2027-01-17 Agentic Artificial Intelligence (Agentic AI) represents a new generation of AI systems endowed with autonomy, adaptability, and goal-driven decision-making capabilities. Unlike traditional machine learning models, agentic AI systems can actively plan, reason, take actions, and collaborate with other agents, tools, or humans to achieve complex objectives. Agentic AI Networking extends these principles to the design and operation of future communication systems and the Internet itself, where networks become active participants in decision-making processes. In such an agentic Internet, network entities, ranging from routers and virtual network functions to end devices and digital twins, are equipped with autonomous capabilities to sense, reason, and act. This transformation raises key research questions concerning interoperability, distributed intelligence, control architectures, security, privacy, trust, and governance in AI-driven networks. This new paradigm also provides an opportunity to revisit the architecture and the design of the Internet itself, and to evaluate whether the current architecture would still be efficient enough in a network where AI agents are the main source of user data exchange and knowledge sharing. This objective would involve the design of new network architectures, protocols, and performance metrics to support agentic AI workflow. Guest editors: Shahram Shah Heydari Ontario Tech University, Canada [email protected] Walter Cerroni University of Bologna, Italy [email protected] Hesham Moussa Huawei Canada [email protected] Mohamed Faten Zhani King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia [email protected] Special issue information: This special issue aims to bring together academic and industry researchers and practitioners to explore foundational models, architectures, protocols and applications enabling agentic AI in the Internet of the future and to discuss technical challenges, state of the art solutions, and research results. Submissions are welcomed on topics including but not limited to: ● Architectures and frameworks for agentic AI networking ● Distributed intelligence and coordination among networked AI agents ● Multi-agent reinforcement learning and autonomous decision-making in networks ● Control, orchestration, and management in agentic network infrastructures ● Trust, safety, and ethical considerations in agentic AI-driven communication systems ● Semantic communication and knowledge exchange among autonomous agents ● Protocols and interfaces for inter-agent collaboration and negotiation ● Agentic Internet architecture design and optimization ● Network performance metrics in Agentic Internet ● Digital twins, intent-based networking, and closed-loop control for agentic systems ● Experimentation platforms, testbeds, and simulations for agentic AI networking ● Use cases and applications (e.g., 6G, IoT, cloud-edge continuum, cyber-physical systems, immersive communications) Important Dates Submission portal opens: September 20, 2026 Deadline for paper submission: January 17, 2027 Reviewed manuscripts due: April 25, 2027 Manuscript submission information: The journal's submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of “Agentic AI Networking” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Networks | Journal | ScienceDirect.com by Elsevier. Keywords: Agentic AI, Networking for AI, Multi-Agent Architecture https://www.sciencedirect.com/special-issue/336879/agentic-ai-networking-agennet
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Special Issue on Wireless beyond limits: AI, 6G, Quantum, and new horizons Submission Date: 2027-01-31 Wireless communication networks are undergoing a profound transformation driven by the evolution from 5G towards 6G systems. Emerging paradigms such as non-terrestrial networks, joint communication and sensing, AI-native networking, open and softwarized radio access networks, Quantum technologies, and sustainability-aware architectures are reshaping how future wireless systems are designed, deployed, and operated. The 6G vision extends far beyond enhanced data rates, encompassing ultra-reliable and low-latency communications, massive intelligence at the edge, integrated sensing and communications, semantic and goal-oriented networking, and tight integration with cyber-physical systems, robotics, space infrastructures, and immersive applications. In this context, 6G networks are envisioned as AI-native systems, capable of self-configuration, self-optimization, and autonomous operation through the pervasive use of machine learning and artificial intelligence across all protocol layers. At the same time, emerging paradigms such as joint communication and sensing, semantic and goal-oriented communications, open and softwarized radio access networks, and in-network computing are redefining the architectural foundations of wireless systems. Alongside these developments, quantum technologies are emerging as a key enabler for future communication networks. Quantum communications, quantum sensing, and quantum-enhanced timing and synchronization have the potential to provide fundamentally new capabilities in terms of security, precision, and performance. Guest editors: Riccardo Bassoli Dresden University of Technology, Germany Email: [email protected] Luca Foschini University of Bologna, Italy Email: [email protected] Janis Nötzel Technical University of Munich Chair for Forest Growth and Yield Science, Germany Email: [email protected] Domenico Scotece University of Bologna, Italy Email: [email protected] Special issue information: This Special Issue aims to bring together cutting-edge research contributions that address theoretical foundations, network architectures, protocols, algorithms, and experimental results for advanced wireless networks beyond 5G and towards 6G, with particular emphasis on the convergence of AI-driven networking and quantum-enabled technologies. We invite contributions that present groundbreaking research and visionary ideas, addressing both theoretical and practical aspects of advanced wireless networks beyond 5G and towards 6G. Submissions are welcome on, but not limited to, the following topics: • 6G vision, requirements, and key enabling technologies • Advanced cellular systems and WLANs (Wi-Fi 6/7 and beyond) • Edge–core convergence and network evolution towards 6G • AI-native and AI-enabled network architectures • Learning-based resource allocation, scheduling, and mobility management • Closed-loop control, zero-touch networking, and autonomous network operation • Digital twins for wireless and mobile networks • Edge AI, distributed intelligence, and TinyML for wireless systems • Open RAN architectures, interfaces, and deployments • Virtualized and cloud-native RAN and core networks • AI-driven RAN optimization, testing, and experimentation • Wireless networks for aerial, ground, and underwater robots • Robot-to-robot and robot-to-infrastructure communications • Human-in-the-loop and tactile Internet applications • Satellite, UAV, HAPS, and space–air–ground integrated networks • Internet of Space Things and interplanetary communications • 3D networking architectures and protocols • Semantic and goal-oriented communications • Functional and task-oriented compression • Joint communication, control, and computation • Computing-aware network architectures • Orchestration and placement of communication and computing functions • Energy-efficient in-network computing and sustainability-aware designs • Quantum communication networks and hybrid quantum–classical architectures • Quantum key distribution (QKD) and secure networking • Quantum sensing for wireless and networked systems • Quantum-enhanced timing, synchronization, and localization Important Dates Submission portal opens: September 01, 2026 Deadline for paper submission: January 31, 2027 Latest acceptance deadline for all paper: September 01, 2027 Manuscript submission information: The journal's submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue from September 01, 2026. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of “VSI:COMPNW_new horizons” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Networks | Journal | ScienceDirect.com by Elsevier. Keywords: Quantum Computing, Wireless Systems, 5G and beyond, 6G https://www.sciencedirect.com/special-issue/334923/wireless-beyond-limits-ai-6g-quantum-and-new-horizons
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Special Issue on Generative and Explainable AI for Security in Modern Networks Submission Date: 2027-02-28 Modern communication networks, including 5G/6G, edge-cloud infrastructures, software-defined networking, network function virtualization, and the Internet of Things systems, are characterized by increasing scale, heterogeneity, and programmability, which significantly expand the attack surface and complexity of the cyber threat landscape. Traditional security mechanisms increasingly struggle to address evolving and sophisticated cyber threats. AI and Deep Learning have enabled significant advances in automated threat detection, anomaly identification, and security analytics. In this context, emerging Generative AI architectures offer new opportunities for network traffic analysis, intrusion and anomaly detection, threat prediction, and security decision support. Generative AI can also help address data-related challenges by synthesizing realistic network traffic, augmenting scarce attack samples, and simulating evolving threats. At the same time, many AI-based security solutions operate as black-box models, limiting transparency, accountability, and trust. Security analysts need interpretable decisions to assess alerts, understand root causes, evaluate model reliability, and support effective incident response. Generative and Explainable AI therefore provide complementary capabilities for modern network security. While Generative AI enables advanced data-driven security mechanisms and supports security data generation, Explainable AI provides transparency and interpretability of AI-driven decisions. Together, these paradigms can foster trustworthy, resilient, and adaptive security solutions for modern communication networks. Guest editors: Anca Delia Jurcut University College Dublin School of Computer Science, Ireland [email protected] Alfredo Nascita University of Naples Federico II, Italy [email protected] Francesco Cerasuolo University of Naples Federico II, Italy [email protected] Jonatan Krolikowski Huawei Technologies France SAS, France [email protected] Special issue information: This Special Issue (SI) aims to explore the methodological, technical, and practical dimensions of leveraging Generative and Explainable AI for network security in modern communication systems. By focusing on these cutting-edge themes, the SI seeks to provide a forum for researchers and practitioners to present innovative solutions, experimental evaluations, benchmark datasets, and real-world deployments that advance the state of the art. Topics of interest include, but are not limited to: - Generative AI for network traffic modeling, synthesis, and cyber threat simulation; - Generative AI-based network traffic analysis for intrusion, anomaly, and threat detection; - Generative approaches for traffic-based attack detection and prediction; - Generative AI for security log and flow data correlation in networked systems; - Generative AI-driven automation for traffic-aware and resilient network security management; - Privacy-preserving Generative AI for secure network traffic analysis; - Robustness and resilience of traffic-based Generative AI security models under adversarial conditions; - Explainable Generative AI for real-time network traffic monitoring and security decision support; - XAI techniques for interpretable network traffic classification and security analytics; - Explainable AI for traffic-level cyber resilience, fault diagnosis, and incident response; - Evaluation metrics and benchmarking methodologies for explainability in network security; - Explainability of foundation models and large language models for network security applications; - Human-centered XAI and analyst-in-the-loop approaches for network security operations; - XAI for understanding, auditing, and validating Generative AI models in network security; - Generative AI for generating human-understandable explanations of network security events and alerts; - Agentic AI for network threat detection, investigation, and autonomous network security operations. Important Dates Submission portal opens: September 21, 2026 Deadline for paper submission: February 28, 2027 Reviewed manuscripts due: July 31, 2027 Manuscript submission information: The journal's submission platform (Editorial Manager®) will be available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript, and select the article type of “VSI: GenXSec” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Computer Networks | Journal | ScienceDirect.com by Elsevier. Keywords: Generative AI; Explainable AI (XAI); Agentic AI; Network Security; Intrusion Detection; Cybersecurity https://www.sciencedirect.com/special-issue/337439/generative-and-explainable-ai-for-security-in-modern-networks
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