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International Journal of Network Management

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Impact Factor:
2.6
Publisher:
Wiley-Blackwell
ISSN:
1055-7148
Viewed:
14616
Tracked:
2

Call For Papers

International Journal of Network Management is an academic journal published by Wiley-Blackwell. (ISSN 1055-7148, impact factor 2.6).

Aims and Scope Modern computer networks and communication systems are increasing in size, scope, and heterogeneity. The promise of a single end-to-end technology has not been realized and likely never will occur. The decreasing cost of bandwidth is increasing the possible applications of computer networks and communication systems to entirely new domains. Problems in integrating heterogeneous wired and wireless technologies, ensuring security and quality of service, and reliably operating large-scale systems including the inclusion of cloud computing have all emerged as important topics. The one constant is the need for network management. Challenges in network management have never been greater than they are today. The International Journal of Network Management is the forum for researchers, developers, and practitioners in network management to present their work to an international audience. The journal is dedicated to the dissemination of information, which will enable improved management, operation, and maintenance of computer networks and communication systems. The journal is peer reviewed and publishes original papers (both theoretical and experimental) by leading researchers, practitioners, and consultants from universities, research laboratories, and companies around the world. Issues with thematic or guest-edited special topics typically occur several times per year. Topic areas for the journal are largely defined by the taxonomy for network and service management developed by IFIP WG6.6, together with IEEE-CNOM, the IRTF-NMRG and the Emanics Network of Excellence. The taxonomy is available here Readership The readership of this journal is broad. Readers include network and telecommunications managers, researchers, developers, designers, consultants, vendors, and students with an interest in existing and future directions in network management. Keywords IP networks Wireless networks and cellular networks Optical networks Overlay networks Virtual networks Home networks Access networks Enterprise networks and campus networks Data center networks SCADA networks and distributed control systems Wireless sensor networks Internet of Things networks Information-centric networks Software-defined networks Multimedia services Content delivery services Cloud computing services Internet connectivity and Internet access services Internet of Things services Security services Context-aware services Information technology services Economic aspects Multi-stakeholder aspects Service level agreements Lifecycle aspects Process and workflow aspects Legal perspective Regulatory perspective Privacy aspects Fault management Configuration management Accounting management Performance management Security management Centralized management Hierarchical management Distributed management Federated management Autonomic and cognitive management Policy-based management Pro-active management Energy-aware management Quality of experience-centric management Communication protocols Middleware Overlay networks Cloud computing and cloud storage Data models, information models semantic models Information visualization Software-defined networking Network function virtualization Orchestration Operations support systems and business support systems Mathematical logic and automated reasoning Mathematical optimization Control theory Probability theory, stochastic processes, and queuing theory Machine learning Evolutionary algorithms Economic theory and game theory Network monitoring and measurements Data mining and (big) data analysis Computer simulation experiments Prototype implementation and testbed experimentation Field trials
Last updated by Dou Sun on

Special Issues

Special Issue on Best Papers of IEEE CryptoEx 2025: "Bridging Privacy, Compliance, and Innovation in the Crypto World" Submission Date: 2026-07-31 IEEE CryptoEx 2025 was the third edition of the IEEE International Workshop on Cryptocurrency Exchanges, sponsored by the IEEE Communications Society. CryptoEx 2025 was held on June 6, 2025 at the University of Pisa, Pisa, Italy. Submissions of extended versions of the best papers of CryptoEx 2025 are invited for this special issue. The theme of this special issue is "Bridging Privacy, Compliance, and Innovation in the Crypto World". Authors are required to extend their published CryptoEx 2025 papers by at least 30%. CryptoEx 2025 covered the following topics: Centralized Crypto Exchanges (CEX); Decentralized Crypto Exchanges (DEX); DeFi (staking, lending, borrowing, flash loan); Crypto Arbitrage; AI for Crypto Trading Bots; KYC/AML; FATF Travel Rule Compliance Stablecoins Security Tokens and Regulations; Non-Fungible Tokens (NFT); Fractional NFT; SoulBound NFT; Liquidity Pools; AMM (Automated Market Making); CBDC (Central Bank Digital Currency); DACS (Digital Asset Custody Service); Digital Signatures; Wallets; Security Attacks; Obfuscation Techniques & Coin Mixing Impacts; Cross-Chain Bridges and Interoperability Protocols; Trading and Withdrawal Fees; Innovative Services; Operations and management; Proof of Reserves; Zero-Knowledge Proofs for Exchanges; Layer 2 Solutions for Exchanges; On-chain Trading Analytics; Token Listings and Delistings: Policy and Governance; AI for Fraud Detection and Risk Management. Guest Editors: Prof. James Hong Pohang University of Science and Technology, Republic of Korea Dr. Kristian Kostal Slovak University of Technology, Slovakia Dr. Andreas Veneris University of Toronto, Canada Dr. Hongtaek Ju Keimyung University, Republic of Korea Dr. Taeyeol Jeong Consensys, United States https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2025-000855
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Special Issue on AI-based Network Operations and Management Submission Date: 2026-08-29 Artificial Intelligence (AI) is rapidly transforming the way communication networks are designed, operated, optimized, and maintained. As modern networks become increasingly complex, heterogeneous, dynamic, and service-oriented, conventional rule-based and manual management approaches are no longer sufficient to ensure agility, scalability, resilience, and quality of service. AI-based techniques are emerging as key enablers for intelligent, autonomous, and adaptive network management. Recent advances in deep learning, generative AI, and large language models have opened new opportunities for automating network operations and management tasks. At the same time, the adoption of AI in network management raises important challenges related to trustworthiness, explainability, robustness, scalability, interoperability, and operational deployment. This Special Issue aims to bring together researchers and practitioners from academia and industry to present original contributions on the theory, design, implementation, validation, and real-world application of AI-based approaches for network management. The issue will highlight recent advances, emerging trends, practical experiences, and open research challenges in the field. Topics for this call for papers include but are not restricted to: AI/ML techniques for network monitoring and management Intelligent fault detection, localization, diagnosis, and remediation Traffic prediction, classification, and engineering using AI AI-based performance optimization and QoS/QoE assurance Reinforcement learning for adaptive and autonomous network control AI-driven resource allocation in cloud, edge, and mobile networks AI for SDN, NFV, network slicing, and service orchestration Intent-based and closed-loop autonomous network management Generative AI and large language models for network operations Explainable, trustworthy, and robust AI for network management Federated, distributed, and privacy-preserving learning for network management AI-based security monitoring and anomaly detection in managed networks Digital twins and simulation-assisted AI for network operations Data collection, labeling, model lifecycle management, and MLOps for network management AI-enabled management of 5G/6G, IoT, satellite, and edge-native networks Operational experiences, deployments, benchmarks, datasets, and measurement studies for AI-based network management Guest Editors: Dr. Tu Nguyen MangoBoost Republic of Korea Dr. Heegon Kim Samsung Electronics Republic of Korea Prof. James W. Hong POSTECH Republic of Korea Keywords: AI-based network management; Network automation; Intent-based networking; LLM-based Network management; Fault diagnosis; Performance optimization; Service orchestration; SDN/NFV management; 5G/6G management; Generative AI for network management; MLOps/AIOps for Network management; Trustworthy AI https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000391
Last updated by Dou Sun on
Special Issue on Blockchain Interoperability and Cross-Chain Technologies: Protocols, Security, and the Future of an Interconnected Web3 Submission Date: 2026-08-31 Blockchain technology is rapidly transforming various sectors, but the continuous proliferation of diverse, independent blockchain networks has led to a highly fragmented ecosystem. As the adoption of decentralized applications (dApps), decentralized finance (DeFi), and enterprise blockchains grows, the isolated nature of individual ledgers—often operating as disconnected silos—has become a significant bottleneck. Conventional single-chain architectures are no longer sufficient to ensure seamless data sharing, cross-network liquidity, and unified user experiences. Cross-chain technologies and interoperability protocols are emerging as key enablers to bridge these isolated networks and build a fully interconnected Web3 ecosystem. Recent advances in cross-chain bridges, atomic swaps, interoperability frameworks, and decentralized relay networks have opened new opportunities for seamless asset transfers, cross-chain smart contract execution, and state synchronization across heterogeneous blockchains. At the same time, the rapid development and adoption of cross-chain solutions raise critical challenges related to security vulnerabilities, trust models, scalability, decentralization guarantees, and the lack of universal interoperability standards. This special issue aims to bring together researchers and practitioners from academia and industry to present original contributions on the theory, design, implementation, validation, and real-world application of cross-chain technologies and blockchain interoperability. The issue will highlight recent advances, emerging trends, practical experiences, and open research challenges in the field. Topics for this call for papers include but are not restricted to: Cross-chain protocols and interoperability mechanisms Cross-chain bridges and bridge security models Zero-knowledge–based cross-chain protocols and ZK bridges Intent-based bridges and intent-centric cross-chain architectures Cross-chain application protocols and composable cross-chain dApps Cross-chain digital asset, cryptocurrency, and NFT protocols Cross-chain crypto-economic and incentive design Cross-chain function call and message-passing protocols Cross-chain CBDC protocols and payment infrastructures Cross-chain MEV design and mitigation Cross-chain rollup and modular blockchain design Cross-chain communication protocols and routing schemes Empirical analysis and measurement of cross-chain protocols Modular design and cross-chain system architectures Privacy and confidentiality in cross-chain mechanisms Vulnerabilities, attacks, and mitigations in cross-chain mechanisms Organizational and information systems requirements for cross-chain adoption Guest Editors: Dr. Babu Pillai Griffith University Australia Dr. Kamanashis Biswas Australian Catholic University Australia Mr. Guzman Llambia Universidad de la República Uruguay Keywords: data sharing; decentralization; interoperability https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000392
Last updated by Dou Sun on
Special Issue on Architectures and Ecosystems for Cryptocurrency Exchanges: Security, Compliance, and the Future of Digital Assets Submission Date: 2026-09-30 Cryptocurrencies, originating with Bitcoin as a means of global electronic payment, are rapidly transforming the landscape of digital assets and decentralized finance. As the digital economy becomes increasingly complex, conventional financial infrastructures and early isolated cryptocurrency models are no longer sufficient to support the diverse and expanding ecosystem of utility tokens, security tokens, and stablecoins. Cryptocurrency exchanges—both centralized (CEX) and decentralized (DEX)—are emerging as key enablers and central hubs for the trading, management, and utilization of thousands of digital assets. Recent advances in exchange architectures have opened new opportunities for providing comprehensive financial ecosystems, extending far beyond simple trading to include decentralized finance (DeFi) services, staking and yield earning, payment and merchant services, institutional custody, and NFT marketplaces. At the same time, the rapid evolution and operational expansion of these crypto exchanges raise important challenges related to regulatory compliance, security vulnerabilities, market manipulation, liquidity provision, decentralization trade-offs, and overall system resilience. This special issue aims to bring together researchers and practitioners from academia and industry to present original contributions on the theory, design, implementation, validation, and real-world application of cryptocurrency exchanges and related digital asset services. The issue will highlight recent advances, emerging trends, practical experiences, and open research challenges in the field. Topics for this call for papers include but are not restricted to: Stablecoins (design, issuance, risk, regulation) Central Bank Digital Currencies (CBDC) Security Tokens & Tokenized Securities Non-Fungible Tokens (NFT) Digital Asset Custody Services (DACS) Centralized Crypto Exchanges (CEX) Decentralized Crypto Exchanges (DEX) Automated Market Makers (AMM) Liquidity Pools Trading & Withdrawal Fee Mechanisms Support for Multi-chain / Cross-chain Transactions Proof of Reserves (PoR) Decentralized Finance (DeFi) Crypto Arbitrage Strategies Innovative Financial Services in Web3 Wallet Architectures (custodial / non-custodial / smart wallets) Key Management & Digital Signatures Account Abstraction and Wallet UX Institutional-grade Custody Solutions Security Attacks on Crypto & DeFi Systems Smart Contract Vulnerabilities MEV (Maximal Extractable Value) and Market Manipulation Exchange Failures and Incident Analysis Operational Security & Risk Management AI / ML for Crypto Trading On-chain Data Analytics Fraud Detection and Anomaly Detection AI-driven Risk Assessment for Digital Assets KYC / AML Technologies FATF Travel Rule Compliance Regulatory Technology (RegTech) for Crypto Laws and Regulations for Digital Assets Compliance Challenges for Multi-jurisdictional Operations Exchange Operations & Infrastructure Management Scalability, Performance & Reliability Monitoring, Auditing, and Transparency Governance Models for Crypto Platforms Guest Editors: Dr. Kristian Kostal Slovak University of Technology Slovakia Prof. James W. Hong POSTECH Republic of Korea Dr. Andreas Veneris University of Toronto Canada Dr. Hongtaek Ju Keimyung University Republic of Korea Dr. Taeyeol Jeong Consensys United States Keywords: cryptocurrency; decentralization; digital economy https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000416
Last updated by Dou Sun on
Special Issue on AI-driven Management and MLOps for Networks and Services Submission Date: 2026-10-31 The increasing scale, programmability, and heterogeneity of modern networks and digital services are driving a fundamental shift in management paradigms. Communication infrastructures now operate across cloud, edge, mobile, IoT, and domain-specific environments, where service agility and operational resilience depend on timely, intelligent, and automated management decisions. In parallel, AI is becoming an essential component of operational systems, supporting prediction, optimization, control, and decision assistance across the management stack. This evolution creates a twofold research opportunity. First, AI-driven techniques are redefining how networks and services are monitored, analyzed, optimized, and controlled. Second, the growing operational use of AI models introduces the need for robust lifecycle management practices, including data engineering, model validation, deployment, monitoring, governance, and continuous adaptation. Together, these perspectives motivate a unified view of network and service management that integrates both intelligent automation and the operational management of AI itself. This Special Issue invites original contributions on methods, architectures, systems, platforms, and operational experiences related to AI-driven management and MLOps for networks and services. We welcome work that advances theoretical foundations, reports experimental or real-world results, and addresses the practical challenges of deploying trustworthy AI in operational environments. Topics for this call for papers include but are not restricted to: AI-driven monitoring, analysis, and control for networks and services Machine learning for service assurance, fault management, and root-cause analysis Large language models and foundation models for network and service operations Reinforcement learning for adaptive orchestration and autonomous control AI-driven management for cloud-native, edge, 5G/6G, and IoT environments Data pipelines, model training, validation, deployment, and continuous delivery for network AI Monitoring, observability, and drift management for AI models in production Governance, accountability, and policy compliance for operational AI Security and privacy in AI lifecycle management and inference pipelines Robustness against adversarial manipulation, poisoning, and model misuse Resource-efficient AI for network and service management Explainability, transparency, and trust in AI-driven operational decisions Benchmarks, datasets, testbeds, and evaluation methodologies Operational case studies, deployment experiences, and lessons learned Guest Editors: Dr. Marc-Oliver Pahl IMT Atlantique France Dr. Hanan Lutfiyya University of Western Ontario Canada Dr. Stuart Slayman University College London United Kingdom Keywords: application lifecycle management; cloud computing; computer science https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2026-000414
Last updated by Dou Sun on
Special Issue on Best Papers of IEEE/IFIP NOMS 2024: "Towards Intelligent, Reliable, and Sustainable Network and Service Management" Submission Date: 2027-05-31 IEEE/IFIP NOMS 2024 was held from 6–10 May 2024 in Seoul, Republic of Korea. The NOMS 2024 theme was "Towards Intelligent, Reliable, and Sustainable Network and Service Management." Papers were submitted as full and short technical session papers, experience session papers, and dissertation papers. The topics for NOMS 2024 were: Technologies: Communication Protocols; Middleware; Overlay Networks; Peer-to-Peer Networks; Cloud Computing and Cloud Storage; Data, Information, and Semantic Models; Information Visualization; Software-Defined Networking; Network Function Virtualization; Orchestration; Operations and Business Support Systems; Control and Data Plane Programmability; Distributed Ledger Technology. Service Management: Multimedia Services; Content Delivery Services; Cloud Computing Services; Internet Connectivity and Internet Access Services; Internet of Things Services; Security Services; Context-Aware Services; Information Technology Services; Service Assurance. Functional Areas: Configuration Management; Accounting Management; Performance Management; Security Management. Management Paradigms: Centralized Management; Hierarchical Management; Distributed Management; Federated Management; Autonomic and Cognitive Management; Policy- and Intent-Based Management; Model-Driven Management; Pro-active Management; Energy-aware Management; QoE-Centric Management. Methods: Mathematical Logic and Automated Reasoning; Optimization Theories; Control Theory; Probability Theory, Stochastic Processes, and Queuing Theory; Artificial Intelligence and Machine Learning; Evolutionary Algorithms; Economic Theory and Game Theory; Monitoring and Measurements; Data Mining and (Big) Data Analysis; Computer Simulation Experiments; Testbed Experimentation and Field Trials; Software Engineering Methodologies. Guest Editors: Prof. Baek-Young Choi University of Missouri, MO, United States Prof. Myungsup Kim Korea University, Republic of Korea Prof. Roberto Riggio Marche Polytechnic University, Italy https://onlinelibrary.wiley.com/page/journal/10991190/homepage/call-for-papers/si-2024-000511
Last updated by Dou Sun on

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