Journal Information
Computer Communications
http://www.journals.elsevier.com/computer-communications/
Impact Factor:
2.766
Publisher:
Elsevier
ISSN:
0140-3664
Viewed:
18235
Tracked:
55

Call For Papers
Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today's computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms.

Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications. Topics include, but are not limited to:

    Emerging technologies for next generation network
    LAN/WAN/MAN
    Future Internet architecture, protocols and services
    Content- and service-centric architecture
    Mobile and ubiquitous networks
    Self organizing/autonomic networking
    Green networking
    Internet content search
    QoS and multimedia networking
    Opportunistic networking
    On-line social networks
    Internet of things
    Public safety communication networks
    Network applications (web, multimedia streaming, VoIP, gaming, etc.)
    Trust, security and privacy in computer and communication networks
    Modeling, measurement and simulation
    Complex network models
    Internet socio-economic models
    Experimental test-beds and research platforms
    Algorithmic aspects of communication networks
    Network scaling and limits
Last updated by Dou Sun in 2020-02-25
Special Issues
Special Issue on Survivability of Mobile and Wireless Communication Networks
Submission Date: 2020-10-30

Recent developments in mobile and wireless networks have paved the way for them to become an indispensable form of technology that is used by technology-savvy, business, and lay people, everywhere and at any time. The ever-increasing penetration rate of mobile telephony, the excitement of consumers for a fully mobile Internet, and the ubiquity of WiFi are just a few examples of the phenomenon. Data traffic volumes being carried by mobile communications networks have steadily increased over the years. Moreover, sudden outbreak of COVID-19 pandemic have pushed nations across the globe to entirely rely on digital, mobile, and communication networks technologies to enable crucial businesses, and industries to continue and provision their necessary services such as sharing healthcare information, online learning, and virtual meetings/conferences to name a few. Consequently, massive user growth and sheer data traffic have posed unexpected significant pressure on these networks. Despite considerable advancements and merits, mobile and wireless networks are still lacking robustness and susceptible to cyberattacks. Overwhelming network traffic may not only affect performance of user services but may also cause service or network outage. Moreover, network failures may cause drastic effects on network performance and hinder network operation. Furthermore, cyberattacks are continuously on the rise during this pandemic and severely affecting the network performance. These problems emphasize the need for mechanisms to enhance the network survivability and availability and to sustain the flow of information in the case of failures or attacks. The communication ability of wireless networks to deliver data successfully in a timely and efficient manner and continue its services despite the presence of overwhelming traffic, failures, and attacks is referred to as survivability and is an important characteristic which must be provisioned. The aim of this special issue is to solicite high quality research articles that articulate recent advancements in this domain, highlight open research issues and challenges, and indicate future directions. This special issue is expected to report on recent research and spark novel research on the wireless networks design, architecture, algorithms, and protocols for existing and prospective applications. Visionary, work-in-progress, and unpublished original research and survey/tutorial articles are solicited on survivability, safety, and security aspects of wireless networks. Potential topics include, but are not limited to: Survivability strategies for mobile and wireless networks such as LTE-A, 5G and Beyond Survivability techniques for IoT/M2M/IoE Artificial intelligence-based survivable network operation Network analytics for efficient and reliable network operation Network adaptability towards abrupt traffic changes Autonomous and seamless mechanisms to handle node and link failures Optimization strategies for agile and efficient recovery Testbeds and experimental studies of survivability strategies Self-Organizing Networks (SONs) and Self-healing mechanisms Fault tolerant network pre-planning and deployment Fault tolerant resource allocation and scheduling Reliability and dependability of mobile and wireless communication networks Green and energy efficient survivability techniques Network coding-based survivability Safety, security, and privacy for network survivability
Last updated by Dou Sun in 2020-08-16
Special Issue on Emerging Services in the Next-Generation Web: Human Meets Artificial Intelligence
Submission Date: 2020-11-01

Service provision via networked computer-communication infrastructure is always a key factor to ensure the success of the Web development. In the past, developers, and researchers as well, often provide services by predicting what, and how, target users would be expecting. Empirical study, e.g., questionnaire, field study, etc., of course, is conducted to achieve the purpose. But however, reaction time of services on the Web to be updated is way less than expectations from users (i.e., human beings). This issue can be formulated as the more we can understand the human, the more precise services we can provide to our users. Prediction, and/or anticipation, of human beings through the support of artificial intelligence techniques thus becomes an emerging topic to better develop the next-generation Web. What is the difference between prediction and anticipation in Technosocial systems? Is there a common anticipatory feature in biological structures, cultural structures, and technological ones? Humans remain, either individually or collectively, very poorly skilled when it comes to foresee the outcomes of their actions and take inspired decisions. The practice of prediction has made effective progress in the last decades in certain disciplines and thanks to intelligent systems, but mostly as a mechanistic and probabilistic protocol, based on reactive causation and often keeping the human factor out of the loop because of its complexity. Anticipatory system is an implementation to compensate disadvantage of the system with the factors from human. In a view of computing and engineering, anticipatory system is the one that can effectively make the forecasting, where the outcome of the forecasting affects the forecaster, and the one whose current states can be influenced by the future states. Effectual anticipation is a desired model of the future that acts in the present, a way of acting which does not obey the instinct of immediate gratification but uses final causation and deeper aspirations. It is a sensibility for destiny ramifications, the capacity to imagine and project into the future the consequences of our intentions. This special issue aims at bringing together researchers, engineers, and practitioners from both academia and industry to report, review, and exchange up-to-the-date progress of proper use of artificial intelligence related techniques in the development of well-beings in the Web as well as human society, to explore future research directions, and to prompt better service provision in specific domains for a wider target audience from diverse fields. Original and research articles are solicited in all aspects, including theoretical studies, practical applications, new social technology and experimental prototypes. Theoretical models, architecture, protocols and frameworks for the next-generation Web Interdisciplinary, multidisciplinary or transdisciplinary approaches to develop next-generation Web Promising paradigms for next-generation Web Human-driven/AI-enhanced Web based on personal and ubiquitous computing Human-centric design and implementation techniques for next-generation Web Big data analytics for human-driven/AI-enhanced Web Human-driven/AI-enhanced Web services and systems Smart, personalized and individualized services Machine learning and statistical methods in next-generation Web Blockchain techniques in next-generation Web High Performance Computing that prompts next-generation Web ICT-enabled next-generation Web and personal living support 5G network, and mobile technology innovation Internet of Things-driven techniques/theories for the next-generation Web Privacy and security issues in human-driven/AI-enhanced Web Evaluation and optimization for the future Web Social and humanistic aspects of human-driven/AI-enhanced Web Practices, surveys, and case studies that explore research directions in prompting next generation Web services and systems
Last updated by Dou Sun in 2020-08-16
Special Issue on Security and Privacy in Space-Ground Integrated Network
Submission Date: 2020-12-01

The proliferation of various wireless multimedia applications and services fosters a high demand for wireless access and communication. Some services like disaster warning and aerospace etc. urgently require access to the Internet anytime and anywhere. Consequently, Space-Ground Integrated Network (SGIN) is proposed to overcome the shortage of geographic and time limitations existed in terrestrial networks (e.g., LTE-A networks, Wi-Fi) to meet the high service requirement. Through the widely deployed satellites, SGIN significantly mitigates the communication limitations in the conventional terrestrial networks and enables seamless connection and communication anytime anywhere. Despite the numerous merits, SGIN comes with its own set of challenges, especially in the aspects of security and privacy protection. Malicious behaviors, such as entity impersonation, unauthorized access, and cross-network attacks could be fatal to the SGIN. However, constrained by satellite communication and computing capabilities, conventional cryptographic primitives based approaches cannot be directly exploited. In addition, due to the various communication domains and entities with different authorities, traditional centralized authentication mechanisms are no longer applicable in SGIN. Moreover, users and satellites are moving all the time, making the cross-domain access and seamless switching difficult. Last but not least, it is also a very challenging issue to maintain the dynamic link of satellites while keeping credibility. The objective of this special issue is to explore recent advances that address fundamental and practical challenges related to security and privacy in Space-Ground Integrated Network. High-quality original research and review articles in this area are expected. Potential topics include but are not limited to the following: Security features in Space-Ground Integrated Network (SGIN) Privacy-enhanced technologies for SGIN Security protocols for SGIN Authentication and key management for SGIN Trust and threat models for SGIN Multi-domain network secure interconnection technologies for SGIN Security control mechanisms for dynamic networking in SGIN Security threats analysis and early warning technologies for SGIN Novel architectures and protocols for blockchain-based SGIN applications Blockchain-enabled reliable and privacy-preserving data sharing for SGIN Data analysis for SGIN Security, reliability, and scalability of communications for SGIN Communication modeling, simulation, and verification for SGIN Emerging interconnection technologies for SGIN Security of SDN/NFV for SGIN Security of network slicing for SGIN Security of resource management for SGIN Security and privacy in Terrestrial Networks Security and Privacy in Satellite Communication Encryption algorithms for SGIN
Last updated by Dou Sun in 2020-08-16
Special Issue on Data Driven Discovery of Cyber Physical Systems
Submission Date: 2020-12-30

The increasing complexity and the distributed nature of modern systems (e.g. power generation plants, manufacturing processes, aircraft and automobiles) have provided traction for important research agendas, such as Cyber Physical Systems (CPSs). Cyber-physical systems (CPS), including mobile CPS and Internet of Things (IoT), embed software into the physical world. They can be used for numerous critical applications in a wide spectrum of fields, such as aerospace, automotive, chemical processes, civil infrastructure, consumer appliances, energy, entertainment, healthcare, manufacturing, transportation, and so forth, have become a core transdisciplinary area of research, both in industry and academia. Cyber-physical systems have proved to present new challenges to modeling due to their intrinsic complexity arising from the tight coupling of computation, communication and control with physical systems. This special issue is focused on the role of data and data analytics in in CPS Monitoring, Control, Safety, Security and Service Sustainability. It covers applications of machine learning and big data analytics to various CPS problems, and also discusses the security and privacy problems associated with machine learning and big data. This Special Issue solicits high-quality original research and survey papers with consolidated and thoroughly evaluated research on various aspects ofData Driven Discovery in CPS Applications. This Special Issue will serve as a comprehensive collection of the current state-of-the-art technologies within the context. Topics of interest include (but are not limited to): New data-driven CPS model description and modelling techniques Robust data-driven optimization algorithms for CPSs Unified framework for CPS formulation and analysis Advanced approaches for CPS monitoring Data-Driven CPS fault detection, isolation and diagnosis methods Data-Driven Services and CPS-oriented fault-tolerant control CPS-oriented robust control Data-driven artificial intelligence approaches applied in CPS Challenges and techniques for potential industrial and domestic applications Applications of AI technologies in cyber security and privacy Security-related big data capture, classification and analytics Data mining and knowledge discovery for security Intelligent systems for security and privacy Theoretical studies on big data privacy and security Privacy-preserving machine/deep learning and data mining AI-driven attacks and mitigation methods Data science-based solutions for CPS security and privacy issues; Blockchain-based security and privacy solutions for CPS applications; Smart contract-based trustable and verifiable computations for CPS applications; Adaptive attack mitigation for CPS; Authentication and access control for CPS; Availability, recovery, and auditing for CPS; Data security and privacy for CPS; Embedded systems security and privacy; Electric vehicle charging systems security and privacy; Intrusion detection for CPS; Legacy CPS system protection; Security and privacy in industrial control systems; Smart grid security and privacy; Urban transportation system security and privacy; Vulnerability analysis for CPS; Wireless sensor network security and privacy.
Last updated by Dou Sun in 2020-08-16
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