Journal Information
Computer Networks (CN)
Impact Factor:

Call For Papers
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.


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.


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.
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Side-Channel Attacks on Mobile and IoT Devices for Cyber-Physical Systems
Submission Date: 2020-12-15

Connected and autonomous unmanned vehicles are considered as a promising technology solution for numerous applications, ranging from civilian to military settings, including shipment of goods, home package delivery, crop monitoring, agricultural surveillance, and emergency rescue operations in those regions where the access is difficult or dangerous for human beings. Connected and autonomous unmanned vehicles comprise of unmanned aerial/ground vehicles (UAVs/UGVs) that distinguish by means of different characteristics. While UAVs can search a wide range of targets, their height and speed results in a limited target positioning estimation; on the other side, UGVs can have accurate locations of a target on the ground. Also, UGVs move slowly and can be easily obscured by obstacles. To overcome such limitations, UAVs and UGVs should work cooperatively and collaborate with each other in ad hoc manner through Line-of-Sight (LoS) links to exchange data packets. Of course, UAVs can also communicate with fixed ground stations, with an air traffic controller, or through a Non-Line-of-Sight (NLoS) link with a satellite-aided controller, generally based on preloaded tasks. Besides the dissimilar communication technologies, various problems appear in these inter-UAVs/UGVs communications including energy management, lack of security and the unreliability of wireless communication links, and handover from LoS to NLoS, and vice versa. Topics of interest include, but are not limited to: Mobility, traffic models and network management for UAVs/UGVs Energy efficiency in UAVs/UGVs Inter-UAVs/UGVs and UAVs/UGVs-assisted routing Security, privacy, and trust in UAVs/UGVs UAVs/UGVs-assisted applications Spectrum management for UAVs/UGVs Mobile edge computing in UAVs/UGVs Beyond 5G technologies for UAVs/UGVs Performance, scalability, reliability and efficiency of Inter- UAVs/UGVs and UAVs/UGVs-to-X communications Modeling and theoretical proofs of communications in UAVs/UGVs Inter-UAVs/UGVs communications over future internet architectures UAVs/UGVs clouds Testbeds and validation.
Last updated by Dou Sun in 2020-10-18
Special Issue on Blockchain Based Sustainable, Secure Healthcare Systems
Submission Date: 2021-01-20

Healthcare is a data-intensive clinical domain where a huge amount of data is generated, accessed, and disseminated on a regular basis. Existing approaches in healthcare systems such as tracking and tracing are regularly exposing the system’s limitations in managing the security and privacy of the patients’ data. The majority of the work in healthcare systems involves exchanging or using potentially personal and confidential data. A key problem is the creation of approaches that maintain the utility of health data while preserving privacy and conforming to high ethical standards. This will be vital to fostering large-scale uptake, particularly as health data collection is likely to continue beyond this current ongoing pandemic. Therefore, the research community is investigating secure, privacy-preserving, and sustainable healthcare systems, through the use of emerging technology such as blockchain. Blockchain technology has emerged as a key technology in the digital revolution of many verticals such as supply chains, automobile industry, and healthcare. It is ready to transform the way traditional medical systems and businesses have engaged in the healthcare sector for the last several decades. Blockchain applications for healthcare data management create utilities for patient, doctors and healthcare institutes for management of patient records, claims and payments management, medical IoT security and data verification and exchange for financial auditing with transparency. This also enables healthcare institutions to restrict the unauthorized person to access sensitive information and to maintain immutable audit trails of access and modification to patient data. The purpose of this special issue is to explore blockchain to improve processes, services and applications in healthcare, health sciences and health education. The proposed special issue is expected to bring together a number of quality submissions in blockchain-based healthcare systems. The main topics of this special issue include, but are not limited to, the following: Communication Protocols for Patient-Centric Data Sharing Blockchain in IoT-supported Health Insurance Secure and Trustworthy Clinical Data Sharing Traceability in sensor-enabled pharmaceutical supply chains Smart Contracts for Coordination of Decentralised Clinical Trials Health Information Exchange and Interoperability Scalable Blockchains for large scale Clinical Information Sharing Privacy-preserving patient data lineage Secure and Sustainable Tracing and Tracking with Blockchain Blockchain-Based Sustainable and Secure Identification Decentralising AI with Blockchain for Healthcare Decentralized management of healthcare IoT devices Decentralized Secure and Sustainable Architectures
Last updated by Dou Sun in 2020-10-18
Special Issue on Network Traffic Analytics in the Era of AI and SDN
Submission Date: 2021-01-31

In recent years, world-wide users have enjoyed diverse desktop/mobile applications driven by rich information, which is delivered by the emerging networking technologies such as Software Defined Networking, 5G, and IoT. As such applications proliferate, however, it is increasingly challenging for network operators to cope with the complexity of network applications, dynamics of network traffic and non-stop security threats to network infrastructure. One of the core elements to secure and scalable network management and operation is the in-depth, non-intrusive and timely understanding of network traffic flowing through the network infrastructure. Albeit the growing number of AI and machine learning based studies on network traffic analytics, there remain many open questions due to the fluidity of the network flows, variety of objectives and security and privacy considerations. For example, there is not a comprehensive, open dataset for benchmarking the proposed algorithms and designs. This special issue aims to provide a venue for the community to present and discuss the latest advances in network traffic analytics with an emphasis on novel machine learning based approaches and/or Software Defined Networking (SDN) environment. The analytics is broadly defined, including but not limited to flow classification, volume predication, measurement driven management, and covers the full life cycle of network flows. Given the recent development of AI driven applications, we see this an excellent opportunity for networking researchers to interact with ML/AI community to foster new knowledge and advance the state of art. We hope this special issue will catalyze the research and development of novel methods for network traffic analytics with rich datasets, vigorous discussions, new directions and fruitful collaborations. Relevant topics/areas include but are not limited to Network traffic analysis using machine learning methods Malware detection using machine learning methods Deep learning-based network traffic analytics Encrypted network traffic analysis Privacy preserving network traffic analysis SDN support for network traffic analytics and measurement Benchmarking and datasets for network traffic analysis Comparison and validation of AI tools in networking domain Platforms and environments enabling realistic network traffic capturing and analysis Real-time network traffic analytics in uCPE and SD-WAN Network traffic analysis in embedded systems with limited computing and memory resources Hardware and software solutions for accelerated, high throughput network traffic analytics
Last updated by Dou Sun in 2020-11-03
Special Issue on Blockchain Consensus Protocols
Submission Date: 2021-01-31

I. Background Blockchain Consensus Algorithms is a special issue of the Journal of Computer networks, covering the properties, trade-offs, and uses of blockchain consensus algorithms. A blockchain is a distributed and decentralised computer network, with a new block being added to the communal state when the participating nodes come to consensus. The mechanism for reaching consensus is via consensus algorithms. More than eighty four blockchain consensus algorithms have been publicly proposed to date, and that number continues to grow. Consensus algorithms are typically designed to target major concerns and vulnerabilities, which lead to a natural categorisation. Important design considerations include the degree to which the blockchain is decentralised in terms of ownership and management, the scalability of its transaction throughput rate, and its security against attackers capable of controlling a number of participating nodes. The inclusion of new algorithmic designs and research into cross-blockchain communication protocols highlight the importance of understanding design tradeoffs. New algorithms illustrate the ever-changing landscape of application areas. Cross-blockchain protocols will be necessary to allow value transfers, cooperative computation, and coordination of state between competing blockchains. Blockchain Consensus Algorithms is intended to provide both practical and theoretical approaches to addressing common information management issues by application of leading edge research and industry experience. Papers cover a wide range of topical issues in consensus algorithm design and application, including costs and benefits of choosing algorithms and the blockchains that implement them. The choice of consensus algorithm has a considerable impact on the fit-for-purpose of a particular blockchain to a particular application requirement. The many consensus algorithms available highlight the fact that there is no silver bullet appropriate for all needs. II. Topics of Interest Topics of interest include, but are not limited to: Innovations in consensus algorithms Handling information uncertainty in consensus algorithms Handling communications disruption and/or latency in consensus algorithms Trust, reputation and distributed consensus Privacy management in consensus algorithms Formal verification and validation of consensus algorithms Formal methods analysis of consensus algorithms Legal and economic aspects of consensus algorithm choice
Last updated by Dou Sun in 2020-12-05
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