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Privacy Issues in the Internet of Things

Call for Papers

Nowadays, the Internet of Things (IoT) became an advanced technology widely deployed in several fields including industry, transportation, energy, home and environment monitoring, and healthcare and wellbeing applications. IoT provides an added value service allowing users to easily supervise their environments and helping them make suitable decisions. IoT is likely to improve the quality of people's lives, create new markets and new opportunities, increase economic growth, and be a momentum for competition.

Many research efforts focus on collecting and processing data coming from different connected things. Others proposed novel processing and communication architectures, technologies, and management strategies. IoT systems can leverage wireless sensor networks to collect and process data and use cloud technologies, peer-to-peer systems, and big data paradigms to provide computation and analysis capabilities.

The other side of the coin is clearly the security and privacy issues raised by the widespread usage of IoT. Indeed, IoT is based on the large number of wireless sensors which involve accessibility, availability, accuracy, and confidentiality problems. Thus, the security problems start from the data collection phase and continue throughout the collected data life cycle going through the transmission, storage, and processing phases. On the other hand, the increasingly invisible, dense, and pervasive collection, processing, and dissemination of data in the midst of people's private lives give rise to serious privacy concerns. The tracking of personal details of lifestyle, activities, habits, and preferences would potentially be accessible for third or unauthorized persons to see. Through the power of machine learning, someone can then analyze and make predictions about future behaviors of people. The current personal data protection approaches are based mainly on security techniques like data encryption or access control mechanisms. However, the privacy threats in the IoT outstrip these solutions and provoke serious challenges like tracking and profiling leakage, accountability and responsibility, and privacy by design paradigm.

This special issue on privacy in the Internet of Things aims to bring together state-of-the-art contributions on IoT privacy, discover the existing IoT privacy challenges, and introduce threat and attacker models that can be applied to IoT architectures and design methods for ensuring privacy of IoT applications and architectures. Original and unpublished contributions are solicited in all aspects of this discipline.

Potential topics include but are not limited to the following:

  • Privacy by design in IoT
  • Tracking and profiling threats
  • Middleware for preserving privacy in the Internet of Things
  • Enhanced oil/gas recovery for unconventional resources
  • Big data and privacy issues in the IoT
  • Privacy-preserving data collection and mining in IoT
  • Accountability and responsibility in IoT
  • Privacy-preserving cloud of things
  • New cryptographic approaches for IoT
  • Anonymization techniques for IoT
  • Proactive privacy models for IoT
  • Data retention and disclosure issues in IoT
  • Privacy policies enforcement in IoT
  • Ethics and legal compliance in IoT Voluntary and controlled release of privacy

Authors can submit their manuscripts through the Manuscript Tracking System at

Manuscript DueFriday, 25 August 2017
First Round of ReviewsFriday, 17 November 2017
Publication DateFriday, 12 January 2018

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