Introduction

Scalable computing in cloud infrastructure is a critical component in advancing smart networking management and bolstering cybersecurity measures. The dynamic and ever-evolving nature of smart networking demands a scalable architecture that can efficiently handle the increasing volume and complexity of data traffic. Cloud infrastructure, with its elasticity and on-demand resource allocation, provides a scalable solution to accommodate the growing demands of smart networks. In the realm of smart networking management, scalability ensures the seamless integration of new devices, services, and applications into the network ecosystem. As the number of connected devices continues to rise, a scalable cloud infrastructure allows for the efficient deployment of additional computing resources, ensuring that the network can adapt to fluctuations in demand without compromising performance or reliability. This adaptability is essential for optimizing the functionality of smart networks and facilitating the rapid deployment of innovative services.

Moreover, scalable computing plays a pivotal role in enhancing cybersecurity in smart networking environments. The ability to scale resources dynamically allows for the implementation of robust security measures, such as intrusion detection systems, firewalls, and encryption protocols, without causing a degradation in network performance. As cyber threats become increasingly sophisticated, a scalable cloud infrastructure enables the quick deployment of security updates and patches to safeguard against evolving vulnerabilities. However, challenges exist in achieving seamless scalability in cloud-based smart networking and cybersecurity. Ensuring interoperability across diverse devices and systems, as well as addressing potential latency issues during scaling events, requires careful consideration. Additionally, the effective management of data privacy and compliance concerns remains crucial in the context of cloud-based solutions. Scalable computing within cloud infrastructure is a cornerstone for the efficient management of smart networks and the implementation of robust cybersecurity measures. As the landscape of smart networking continues to evolve, the scalability of cloud solutions will be instrumental in meeting the demands of dynamic and secure digital ecosystems. Efforts to address challenges and refine scalable cloud architectures will undoubtedly shape the future of smart networking management and cybersecurity. A special issue of this journal will combine advanced cyberinfrastructure techniques and cloud infrastructure and smart networking management to address the diverse needs and challenges that cyberinfrastructure face today, as well as security threats. We invite both academic and industrial authors to submit original manuscripts on advanced cyberinfrastructure applications and security threats.

Recommended topics (but not limited to)

• Scalable computing systems in cyber resilience for cyber security
• Scalable computing in management of hardware and software resources of cloud infrastructure for cybersecurity
• Scalable computing in virtual networking and vulnerabilities for cloud computing applications
• Scalable computing in intelligent intrusion detection system of malicious activities of cloud computing for cyberinfrastructure
• Scalable computing in software defined internet of things for network function virtualization and cyberinfrastructure
• Scalable computing in multi factor authentication for cyber infrastructure
• Scalable computing in resilient and dependability management of distributed environments for cyberinfrastructure
• Scalable computing in middleware architecture for cyber attacks detection of IoT ecosystem
• Scalable computing in software defined network architecture for smart grid resilience and service attacks
• Scalable computing in cloud and IoT secure integration for cyber infrastructure

Important dates

Submission deadline: 31 July, 2024

Authors notification:  31 October, 2024

Revision submission: 31 December, 2024

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Lead: Dr. Francesco Flammini, Full Professor of Computer Science, School of Innovation, Design and Engineering, Mälardalen University, Sweden, email: francescoflammini@ieee.org

Francesco Flammini got with honors his master (2003) and doctoral (2006) degrees in Computer Engineering from the University of Naples Federico II, Italy. He is currently a Professor of Computer Science with a focus on Cyber-Physical Systems at Mälardalen University (Sweden). He has been a Senior Lecturer and the chair of the Cyber-Physical Systems group at Linnaeus University (Sweden). He has worked for almost 15 years in private and public companies, including Ansaldo STS (now Hitachi Rail) and IPZS (Italian State Mint and Polygraphic Institute), on large international projects addressing intelligent transportation systems, critical infrastructure protection and cybersecurity, as a technical leader and unit head. He is an IEEE Senior Member and the Chair of the IEEE SMC Technical Committee on Homeland Security. He is also a member of the ERCIM Working Group on Formal Methods for Industrial Critical Systems (FMICS), He has (co)authored 100+ scientific publications and he has served as a chair, invited speaker, steering/program committee member, and editor for several international conferences and journals. He has been an adjunct professor and guest lecturer of computer science, software engineering and cybersecurity at the University of Maryland University College (UMUC) Europe, Second University of Naples (Italy), University of Naples Federico II (Italy), University Campus Biomedico of Rome (Italy) and University of Girona (Spain).

Dr. Theo Dimitrakos, Professor of Computer Science, School of Computing, University of Kent, Canterbury, UK, email: t.dimitrakos@kent.ac.uk

Theo Dimitrakos is the head of network function virtualization and cloud security research activities with the Huawei Technologies, Germany. He is also a professor of computer science with the University of Kent, United Kingdom. His research expertise includes cloud security, cybersecurity, and information assurance. Prior joining Huawei, he was a chief security researcher at BT labs, United Kingdom. He has authored 7 books, more than 70 scientific papers and more than 40 patents. I am interested in creating, directing and delivering impactful innovation from senior leadership or advisory roles. I have over 25 years of experience in Information and Communications Technology including 20 years of experience in Trust and Information Security. I combine deep technical knowledge with strong leadership and people management skills and with a solid international reputation as a thought-leader who can also manage large-scale international research collaborations and innovation delivery projects. My expertise and thought-leadership experience spans a wide range of topics such as Enterprise and Cloud Security, Cybersecurity, Consumer Device & IoT Security, Identity, SOA and Web Services, Next Generation Network Security (including SDN and NFV security), Privacy and Data Protection, Applied Cryptography, Information Hiding (including highly robust imperceptible watermarks), Uncertainty Reasoning and Trust Management, Formal Methods. At Huawei Technologies, I am a lead expert in Trustworthiness Theory, Technology and Engineering Lab (TTTE) based in Munich Germany and of the Cyber Security and Privacy Protection Lab (CSPL) where I lead global programs of research and innovation activities in Data Security and in Identity & Access Management. At the University of Kent I chair the Scientific Advisory Board of the Kent Interdisciplinary Research Centre in Cyber Security. While working at BT, I developed the innovation strategy and new technologies roadmap on virtualization and cloud security and I directed the delivery of technological and business innovations in close collaboration with the Security Leadership Team and the IT Services and Security Portfolio product teams. Through my participation in expert groups and strategy boards, I have advised European Agencies, such as ENISA, industry forums such as ISF and CSA and the European Commission on both technological development and policy making issues.

Dr. Mehdi Sookhak, Assistant Professor of Computer Science Department of Computing Sciences Texas A&M University-Corpus Christi, United States, email: mehdi.sookhak@tamucc.edu

Mehdi Sookhak (M’12, SM’19) received the Ph.D. degree in computer science, major in information security, from the University of Malaya (U.M.) in 2015. From 2012 to 2015, he was with the Center of Mobile Cloud Computing Research (C4MCCR), U.M. as a research assistant. From 2016 to 2017, he was with Carleton University, Canada, as a Post- doctoral Fellow. In 2017 He joined Arizona State University and then in 2019 he joined Illinois State University as an assistant professor of cybersecurity. He is currently working as an Assistant Professor of computer science in Texas A&M University-Corpus Christi, Tx, USA. He has authored more than 50 articles in high-ranking journals and conferences. He is on the Editorial Board of several ISI journals, including Vehicular Communications, Electronics, and IEEE Access. He also served as a chair of several conferences, such as IEEE WTS and IEEE ICC. His areas of interest include cloud and mobile cloud computing, fog/edge computing, vehicular networks, Blockchain, computation outsourcing, machine learning and AI.

Dr. Amir Javadpour, Faculty of Information Technology and Electrical Engineering University of Oulu, Oulu, Finland, email: a.javadpour87@gmail.com

Amir Javadpour, with a solid academic background, earned his MSc in Medical Information Technology Engineering from the University of Tehran, Iran, in 2014. He continued his academic journey, achieving a Ph.D. in Computer Science (Mathematics/Cybersecurity ) from Guangzhou University, China, in 2020. Amir has demonstrated an impressive research portfolio throughout his academic and professional career. He has collaborated with esteemed colleagues to publish numerous papers in highly regarded journals and conferences. These publications cover a wide array of topics, showcasing his expertise in Cybersecurity, Cloud Computing, Software-Defined Networking (SDN), Big Data, Intrusion Detection Systems (IDS), the Internet of Things (IoT), Moving Target Defence (MTD), Machine Learning (ML), and optimization algorithms. Amir's contributions extend beyond publishing; he has also been a diligent reviewer and author for reputable venues, including IEEE Transactions on Cloud Computing, IEEE Transactions on Network Science and Engineering, ACM Transactions on Internet Technology, and various journals under Springer and Elsevier. Additionally, he actively engages as a Technical Program Committee (TCP) member for several conferences. His engagement in international collaborations is noteworthy, particularly with European consortiums in funded projects such as Inspire-5Gplus and Rigourous. These collaborations have led to significant contributions, with papers published in top-tier journals and conferences like Globecom, IEEE TII, IEEE TIFS, IEEE TNSM, and ACM TOSN. Amir's commitment to advancing research extends to mentoring and supervising Master and Doctoral students. This experience has instilled confidence in his ability to lead a research group and conduct independent research. He remains passionate about broadening his research horizon, continually seeking to extend the boundaries of knowledge and contribute meaningfully to the field.

Dr. G. Nagarajan, Professor of Computer Science and Engineering, Sathyabama Institute of Science and Technology, India, email: gnagarajan.cse@sathyabama.ac.in

G. Nagarajan (Senior Member, IEEE) received the B.E. degree in electrical and electronics engineering from MS University, in 2000, the M.E. degree in applied electronics from Anna University, in 2005, and the M.E. and Ph.D. degrees in computer science and engineering from Sathyabama University, in 2007 and 2015, respectively. He is currently a Faculty Member of the Department of Computer Science and Engineering, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. He has published more than 70 research articles in peer-reviewed journals, such as IEEE conference, ACM, Springer-Verlag, Inderscience, and Elsevier. He also has contributed 15 book chapters thus far for various technology books. He has authored and edited three books thus far and is focusing on some of the emerging technologies, such as the IoT, edge/fog computing, artificial intelligence (AI), data science, blockchain, digital twin, and 5G. His current research interests include computer vision, the IoT, 5G, edge/fog computing, artificial intelligence, machine learning, and wireless sensor networks.