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Special Session on
Recent Advances on Security, Privacy, Big Data and Internet of Things
 - SPBDIoT 2018

19 - 21 March, 2018 - Funchal, Madeira, Portugal

Within the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS 2018


Roger Hallman
Spawar Systems Center Pacific
United States
Brief Bio
Mr. Roger Hallman is a Cybersecurity Research Scientist in the Cybersecurity Science and Technology Branch at SPAWAR Systems Center Pacific in San Diego, Ca. His research interests include cybersecurity – particularly within the IoT domain, data privacy, encrypted computing, and decision support, as well as technology transition and adoption. Since joining SPAWAR Systems Center Pacific in 2014, he has become a prolific author and co-author of many internal as well as peer-reviewed publications. He also has multiple patent applications currently pending. He routinely supports inter-agency programs within the United States Department of Defense by participating in proposal review and source selection committees as well as providing technical oversight of funded research efforts. He also sits on the Advisory Board to The Cybersecurity Research Center at the New Jersey Institute of Technology. He is currently working on research in energy system cybersecurity funded by the Office of Naval Research.
Victor Chang
Xi'an Jiaotong-Liverpool University
Brief Bio
Prof. Victor Chang is an Associate Professor (Reader), Director of Ph.D. (June 2016 – May 2018) and Director of MRes at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, since June 2016. He is also a very active and contributing key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. He's an Honorary Associate Professor at the University of Liverpool and Visiting Researcher at the University of Southampton, UK. Previously he worked as a Senior Lecturer at Leeds Beckett University, UK, for 3.5 years. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012 and 2015, the 2016 European award: Best Project in Research, 2016 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist award in 2017, 2017 special award on Data Science, 2017 and 2018 INSTICC Service Awards and numerous awards since 2012. He is a visiting scholar/Ph.D. examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, Editor of FGCS, Associate Editor of TII, founding chair of two international workshops and founding Conference Chair of IoTBDS http://www.iotbd.org and COMPLEXIS http://www.complexis.org since Year 2016. He was involved in different projects worth more than £12.5 million in Europe and Asia. He has published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He gave 16 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientist and expert in IoT/Data Science/Cloud/security/AI/IS, as he has experience to develop 10 different services for multiple disciplines. He is founding conference chair for IoTBDS, COMPLEXIS and FEMIB to build up and foster active research communities globally.
Mamadou Diallo
SPAWAR Systems Center Pacific
United States
Brief Bio
Mamadou H. Diallo is a scientist at the United States Space and Naval Warfare Systems Center Paci?c in San Diego, California. He is a Science and Technology Manager and currently leading a number of United States Department of Defense research and development projects. He is a subject matter expert in a number of other United States Navy projects. He also contributes in inter-agency research programs within the United States Department of Defense providing assistance in proposal reviews, source selection committees, and technical oversight of funded projects. His research interests span across various areas including security, privacy, and trust in cloud and autonomic computing, big data, and Internet of Things (IoT), identity and access management (IdAM), secure computing, security requirements, trust management in decentralized applications, dependability in software architecture, and privacy policy languages. He is a lead inventor on multiple patent applications.
Bahar Farahani
Shahid Beheshti University
Iran, Islamic Republic of
Brief Bio
Dr. Farahani has served as a Senior Consultant to several companies/organizations. She is currently the CEO and a Co-Founder of the Pirouzan Group, a top-leading company that delivers Internet of Things products and services, Machine Learning and Big Data analytics - ranging from innovative connected devices to cloud-based software - to top-quality organizations and companies. Dr. Farahani has served as a Guest Editor of several journals, such as the Future Generation Computer Systems (Elsevier), the IEEE Transactions on Very Large Scale Integration Systems (TVLSI), and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). She is a Program Committee Member in ICCAD e-health workshop, and Complexis. Dr. Farahani is also a Reviewer of several journals/conferences such as the IEEE TVLSI, the IEEE TCAD, Microelectronics Reliability (Elsevier), Future Generation Computer Systems (Elsevier), Journal of Medical Systems, and Complexis.
Farshad Firouzi
IMEC/Katholieke Univ. Leuven
Brief Bio
is a senior researcher and program manager at MSG Systems AG, Germany working in the fields of statistics, machine learning, neuromorphic computing, IoT, Big Data, and eHealth. Prior to joining MSG Systems, he was senior scientist at KU Leuven, KIT, SRC, and SI LAB. Dr. Firouzi is the author of more than 40 journals and conference papers. He has served as reviewer (e.g. IEEE Transactions on VLSI, IEEE Transactions on Circuits and System, ACM Transactions on Design Automation of Electronic Systems, Elsevier Microelectronics Reliability, Elsevier Microelectronics, etc.), managing guest editor (e.g. TVLSI, FGCS, TCAD), Program Chair (e.g., Complexis) and program committee member in several conferences (e.g. ICCAD, ATS, etc.).


In recent years, the Internet of Things (IoT) has grown at an exponential pace solving complex problems in different disciplinary fields such as healthcare, finance, business, transportation, etc. However, these innovations are not without their drawbacks. Many challenges related to Security, Privacy, Connectivity, Big Data Analytics, Intelligent Analysis, Compatibility, Standards, etc. remain.
Security is a crucial issue on the Internet, and it is probably the most significant challenge for the IoT. The Internet of Things (IoT) opens up new vulnerabilities for both security and privacy. Smart buildings and smart cities, for example, will collect and process data for millions of individuals. Industrial systems, which were never intended to be linked via common protocols, are recognized as suddenly being open to security threats that can limit service availability and possibly cause considerable damage. Autonomous systems allowed to operate with minimal oversight are ripe targets for cyber-attacks. Data stored and processed in confidence in the cloud may be subject to exfiltration, leading to public embarrassment or the exposure of proprietary information.  Ransomware has emerged in the public consciousness after multiple high-profile attacks, and many experts forecast that it will become a major threat to IoT and critical infrastructure in the very near future.

Of course, Big Data is the crucial mean for plagiarizing valuable actionable information quickly and effectively from the IoT tsunami. Machine learning techniques are usually used to effectively synthesize (big) data and extracts meaning from (big) data traversing from things/devices to the edge/fog an to the cloud using different techniques such as regression analysis, classification, clustering, decision trees and random forests, support vector machines, reinforcement learning, and deep learning.

In order to succeed in IoT, multidisciplinary research is needed, in addition to collaboration between academia and industry. This special session will bring researchers and industrial partners together to examine and report state-of-the-art research on recent advances in the IoT era such as Big Data analytics, Machine Learning, and security.

Topics of Interest

Topics of interest include (but are not limited to):
  • Operating System, Applications and Protocols Design, and Validation Techniques for Internet of Things
  • Enabling Technologies for Social Internet of Things
  • Cybersecurity and Privacy approaches such as Honeypots, Honeynets and Honeypatches, Deception-based approaches, Encrypted Computing and Secure Computation, Active and Passive Cybersecurity, Privacy-Enhancing Technologies, Intelligence and Counter-Intelligence
  • Cyber Security and Biometrics in the IoT Era
  • Cyber-security Settings
  • Security and Privacy in Cyber-Physical Systems
  • Information and Resource Management Systems for Internet of Things
  • Fusion for different services and its impacts in the IoT era
  • Intelligent Algorithms and Standards for Interoperability in Internet of Things
  • Communications, collaborations, and services in networks of embedded devices
  • High-Performance Services Computing and Internet Technologies
  • Emerging Services Science for Cloud Computing
  • Autonomous Cloud
  • Relational and Non-relational big data stores
  • Artificial Intelligence and Machine Learning for Internet of Things
  • Data analytics for cybersecurity such as Predictive Cybersecurity, Event Analysis, Event Attribution and Cyber-Forensics)
  • Intelligent Security and Optimization in Edge/Fog Computing
  • Innovative Network for Data Intensive Science
  • Cognitive Internet of Things Assisted by Cloud Computing and Big Data
  • Intelligent Sensing and Applications for Cyber-Physical Systems
  • IoT-specific approximate architecture and micro-architecture design, exploration and optimization
  • Brain-inspired and neuromorphic components, circuits, and systems for IoT
  • Smart Data in Future Internet Technologies and Cloud Computing
  • Affective Computing in Ambient Intelligence Systems
  • Technological innovations in Digital transformation
  • Edge of the Cloud
  • Novel edge computing-inspired approaches and paradigms for mobile IoT applications
  • High-Performance Services Computing and Internet Technologies
  • Blockchain and Decentralization for Internet of Things
  • Accountability and Privacy Issues in Blockchain and Cryptocurrency
  • Cloud and Fog Computing for Smart Cities Data Analytics and Visualization
  • Landscapes of the Data Stream Processing in the era of Fog Computing
  • Big Data for Context-Aware Applications and Intelligent Environment
  • Computation Intelligence for Energy Internet
  • Fog and Cloud Computing for Cooperative Information System management
  • Benchmarking IoT and Big Data Systems
  • Cybersecurity metrics
  • Human/Societal issues (e.g., Legal and Policy Topics related to Cybersecurity and Privacy, Human Factors in Cybersecurity and Privacy, Inter-Organizational Cyber-Threat Information Sharing)
  • Other security topics such as System Situational Awareness, Emerging Threats, Malware Analysis, Event Recovery, Security as a Service (SaaS), Privacy as a Service (PaaS)
  • Case studies of successful IoT systems (eHealth, Smart City, etc.)


Paper Submission: January 30, 2018 (expired)
Authors Notification: February 2, 2018 (expired)
Camera Ready and Registration: February 6, 2018 (expired)


Michael August, SPAWAR Systems Center Pacific, United States
An Braeken, Vrije Universiteit Brussel, Belgium
Ishbel Duncan, University of St. Andrews, United Kingdom
Jaclyn Kerr, Stanford University; Lawrence Livermore National Laboratory, United States
Xenofon Koutsoukos, Vanderbilt University, United States
Devu MANIKANTAN, United Technologies Research Center, United States
Giovanni Pau, Kore University of Enna, Italy
Kurt Rohloff, New Jersey Institute of Technology, United States
Paulo Simoes, University of Coimbra, Portugal
Pawel Szalachowski, Singapore University of Technology and Design, Singapore


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index) and Scopus.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


IoTBDS Special Sessions - SPBDIoT 2018
e-mail: iotbd.secretariat@insticc.org