Big Data and the Internet-of-Things in Complex Information Systems: Selections from IoTBDS 2022 and COMPLEXIS 2022

The Internet-of-Things (IoT) is a concept that allows a network of devices (sensors, smart meters, etc.) to communicate, analyze data and process information collaboratively in the service of individuals or organizations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy and trust that will emerge as IoT technologies mature and become part of our everyday lives.

Big Data (BD) has core values of volume, velocity, variety and veracity. After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis. Maintaining a high level of security and privacy for data in IoT are crucial and we welcome recommendations, solutions, demonstrations and best practices for all forms of security and privacy for IoT and BD.

Additionally, we also welcome Complex Information Systems, in different areas such as Informatics, Telecommunications, Computational Intelligence, Biology, Biomedical Engineering and Social Sciences. Information is pervasive in many areas of human activity – perhaps all – and complexity is a characteristic of current Exabyte-sized, highly connected and hyper dimensional, information systems. In this special issue, top authors from IoTBDS 2022 and COMPLEXIS will be invited to contribute. At least 40% more new content and proper paraphrasing will be expected before submission. We also welcome authors from open competitions to submit unpublished high-quality papers.

Potential topic of interest include but not limited to:

• Big Data Research
• Big Data in Emerging Services and Analytics
• Big Data in IoT Applications
• Big Data in IoT Infrastructure, Platforms and Services
• Big Data for Multiple Disciplines
• Big Data in Security, Privacy and Trust
• Complexity in Informatics and Networking
• Complexity in Biology and Biomedical Engineering
• Complexity in Social Sciences
• Complexity in Risk and Predictive Modeling
• Complexity in AI/Edge/Fog/High-Performance Computing
• Integration between Big Data and IoT/Security/Complex Information Systems

Deadline for submission: October 31, 2022

Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal is under the editorial leadership of Editor-in-Chief Zoran Obradovic, PhD, Temple University, and other leading investigators. View the entire editorial board.

Benefits of publishing with Big Data:

• Indexed in PubMed/MEDLINE, Web of Science JCR Science Citation Index Expanded (SCIE), among other leading indexing services
• Fast and user-friendly electronic submission 
• Efficient and constructive peer review
• Prompt online publication 
• High global visibility: accessible in 170 countries worldwide 
• Open Access options available

Visit the journal website to view more information for authors including manuscript guidelines, information on available author services, and publication costs.