Dec. 23rd, 2021: The IEEE BITS 2022 website is online.

Call for Papers (PDF)

Smart computing aims at improving quality of life and experience in modern society represents the next wave of computing. Key technologies for realizing smart computing include sensing, IoTs, mobile and pervasive computing, cyber-physical-social systems, big data, machine learning, data analytics, social and cognitive computing. Smart computing helps to solve a wide variety of societal challenges related to transportation, energy, healthcare, finance, disaster management, and so on.

At the core of all such systems and applications, critical issues include security, privacy, reliability, resiliency, robustness, and efficiency. Indeed, to boost the development of big data applications in smart computing, data security and data traceability as well as efficiency are extremely important.

After successful previously held three IEEE International Workshops on Big Data and IoT Security in Smart Computing (IEEE BITS2017/2018/2019/2020/2021), the 6th workshop, IEEE BITS2022, will be held focussing on theories and implementations on security, privacy, reliability, resiliency, and robustness secure computing and efficient data management in Cloud/IoT environment. BITS is a full-day workshop that is going to be organized in conjunction in conjunction with the 8th IEEE International Conference on Smart Computing (SmartComp2022) on June, 2022.

The topics to be addressed at BITS2022 will include, but not limited to, theoretical or practical aspects of big data and IoT in smart computing and cyber-physical systems. Papers describing experience on real prototype implementations are also welcome. Submissions should be targeted to one of the following sub-topics:

  • Anonymity for big data
  • Big data management and its efficiency in Smart Computing
  • Cloud security and privacy policies
  • Data traceability for big data
  • Distributed systems security
  • Encryption theory and its implementations for big data
  • IoT services and applications in Smart Computing
  • Legal study for big data
  • Machine learning in Smart Computing
  • Privacy risk assessment
  • Secure computation for big data
  • Security management
  • Side-channel attacks in Smart Computing
  • Trust, security, privacy, and data provenance issues in Smart Computing
  • Privacy issues for big data
  • Security and privacy issues in various smart computing applications such as transportation, energy, environmental, smart city, healthcare, and social media

Important Dates

  • Paper Submission Deadline:March 25, 2022 April 15, 2022 April 22nd, 2022 (AoE) (Firm deadline) (CLOSED)
  • Notification of Paper Acceptance:April 25, 2022 May 02, 2022
  • Submission of Camera-ready Deadline:May 16, 2022
    Submission from
  • Workshop Date: (during SMARTCOMP2022)
Submission Guidelines

Paper submissions should be no longer than 6 pages and formatted according to the IEEE conference template. Papers must be submitted electronically as PDF files through EDAS by selecting BITS2022 track.

All submitted papers will be subject to peer reviews by Technical Program Committee members and other experts in the field. All presented papers will be published in the SmartComp2022 conference proceedings and submitted to the IEEE Xplore Digital Library. All accepted papers will be EI indexed.

IEEE conference template

Submission from EDAS

<General Co-Chairs>
  • Hayato Yamana, Waseda University, Japan
  • Sajal K. Das, Missouri Univ. of Science and Technology, USA

<Technical Program Co-Chairs>
  • Shameek Bhattacharjee, Western Michigan University, USA
  • Keiichi Yasumoto, Nara Institute of Science and Technology, Japan

<Technical Program Committee>
  • Abhishek Dubey, Vanderbilt University, USA
  • Hirozumi Yamaguchi, Osaka University, Japan
  • Jose Paolo Talusan, Vanderbilt University, USA
  • Kana Shimizu, Waseda University, Japan
  • Masato Oguchi, Ochanomizu University, Japan
  • Nicola Bena, University of Milan, Italy
  • Pericle Perazzo, University of Pisa, Italy
  • Saneyasu YAMAGUCHI, Kogakuin University, Japan
  • Seiko Arita, Institute of Information Security, Japan

Accepted papers

Analyzing Data Privacy for Edge Systems
Olivera Kotevska, Jordan Johnson and A. Gilad Kusne

Privacy-Preserving Data Falsification Detection in Smart Grids using Elliptic Curve Cryptography and Homomorphic Encryption
Sanskruti Joshi, Ruixiao Li, Shameek Bhattacharjee, Sajal K. Das and Hayato Yamana

Location Estimation using Temperature Time Series Data obtained from Wearable Devices
Sayuki Shingai and Kazuya Murao

Event Information Search Method from SNS Data considering Privacy of User's Location Information
Kyoka Ishigami, Miki Enoki and Masato Oguchi

Fast Accurate Discovery of Tuple Inclusion Dependencies
Mengfei Shen, Hideyuki Kawashima and Kazuhiro Saito

Program: TBA
For further information or questions concerning the workshop, please contact the workshop organizers.