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  • © 2020

Securing Social Identity in Mobile Platforms

Technologies for Security, Privacy and Identity Management

  • Combines both social network analysis with mobile platform for identity management
  • Discusses both sensor design and usage of mobile platform for still or continuous user authentication in the light of the global environment from both the citizen and the government perspectives
  • Presents cutting-edge technologies in the common area that inter-connects the usage of social networks, biometrics and forensic technologies and users’ privacy

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiv
  2. Mobile-Based Privacy & Security

    1. Front Matter

      Pages 1-1
    2. Shared Images and Camera Fingerprinting May Lead to Privacy Issues

      • Rahimeh Rouhi, Flavio Bertini, Danilo Montesi
      Pages 3-19
    3. Personalized Data Minimization Assurance Using Bluetooth Low Energy

      • Evangelos Sakkopoulos, Zafeiria-Marina Ioannou, Emmanouil Viennas
      Pages 41-58
  3. Mobile-Based Biometric Technologies

    1. Front Matter

      Pages 59-59
    2. Quality and Match Performance Analysis of Band-Filtered Visible RGB Images

      • Jeremy Dawson, John Goodwyn, S. Means, Jason Crakes
      Pages 105-128
    3. Unconstrained Face Recognition Using Cell Phone Devices: Faces in the Wild

      • Michael Martin, Thirimachos Bourlai
      Pages 129-143
    4. Face Detection in MWIR Spectrum

      • Suha Reddy Mokalla, Thirimachos Bourlai
      Pages 145-158
  4. Mobile-Based Active Authentication

    1. Front Matter

      Pages 159-159
    2. Mobile Active Authentication based on Multiple Biometric and Behavioral Patterns

      • Alejandro Acien, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez
      Pages 161-177
    3. Quickest Multiple User Active Authentication

      • Pramuditha Perera, Julian Fierrez, Vishal M. Patel
      Pages 179-196
  5. Correction to: Shared Images and Camera Fingerprinting May Lead to Privacy Issues

    • Rahimeh Rouhi, Flavio Bertini, Danilo Montesi
    Pages C1-C1

About this book

The book presents novel research in the areas of social identity and security when using mobile platforms. The topics cover a broad range of applications related to securing social identity as well as the latest advances in the field, including the presentation of novel research methods that are in the service of all citizens using mobile devices. More specifically, academic, industry-related and government (law enforcement, intelligence and defence) organizations, will benefit from the research topics of this book that cover the concept of identity management and security using mobile platforms from various perspectives, i.e. whether a user navigates to social media, accesses their own phone devices, access their bank accounts, uses online shopping service providers, accesses their personal documents or accounts with valuable information, surfs the internet, or even becomes a victim of cyberattacks. In all of the aforementioned cases, there is a need for mobile related technologies that protect the users’ social identity and well-being in the digital world, including the use of biometrics, cybersecurity software and tools, active authentication and identity anti-spoofing algorithms and more.

Editors and Affiliations

  • Lane Department of Computer Science and Electrical Engineering Multispectral Imagery Lab (MILab), West Virginia University, Morgantown, USA

    Thirimachos Bourlai

  • Department of Informatics and Computers, Hellenic Air Force Academy, Acharnes Attica, Greece

    Panagiotis Karampelas

  • Department of Electrical Engineering, Johns Hopkins University, Baltimore, USA

    Vishal M. Patel

About the editors

Thirimachos Bourlai is an associate professor in the Lane Department of Computer Science and Engineering at WVU. He also serves as an adjunct assistant professor in the WVU School of Medicine, Department of Ophthalmology, the Department of Forensic and Investigative Science, and the Department of Chemical Engineering (Biomedical Engineering). He is also the founder (2010) and director of the Multi-Spectral Imagery Lab.

After earning his Ph.D. in face recognition and completing a post-doctoral appointment at the University of Surrey (U.K.), Bourlai completed a second post-doc in a joint project between Methodist Hospital and the University of Houston, in the fields of thermal imaging and human-based computational physiology. He joined the staff at WVU in 2009 serving as a visiting professor and later as a research assistant professor in the Lane Department until August 2017.

Bourlai served and has been invited to serve as chair at a number of biometrics conferences including ICB, BTAS, IJCB, FG, SPIE, ISS World Americas, IDGA, ACI and the Biometrics Institute. He has served as a member on technical program committees for other primary computer vision- and biometrics-focused conferences. Several governmental agencies, organizations and academic institutions have invited Bourlai to present his work, including the CIA, NSA, U.S. Secret Service, U.S. Army (various divisions), FBI, Amazon, SRC, Biometrics Institute, DSA, NLETS, IDGA, FedID, ConnectID, the Biometrics Summit Conference, the IEEE Signal Processing Society, University of Notre Dame, University of Pittsburgh, University of Rochester, Rutgers University, University of Houston, and the University of Newcastle (UK).

He is also a Series Editor of the Advanced Sciences and Technologies for Security Applications) book-series by Springer (2015 - current), an Associate Editor of the IET Electronics Letters Journal, an Editorial Manager of the SPIE Newsroom Magazine, an IEEE Biometrics Council VP on Education as of 1/1/2020, an Advisory Board Member (and Chair) of the IDGA Biometrics and Law Enforcement Conference (yearly conference at Washington DC), and a member of the Academic Research and Innovation Expert Group of the Biometrics Institute. 

Panagiotis Karampelas holds a Ph.D. in Electronic Engineering from the University of Kent at Canterbury, UK and a Master of Science degree from the Department of Informatics, National and Kapodistrian University of Athens with specialization in “High Performance Algorithms”. He also holds a Bachelor degree in Mathematics from the same University majoring in Applied Mathematics. He has worked as an associate researcher in numerous European funded research projects in the area of Information Society Technologies Programme practicing his expertise in User Interface Design, Usability Evaluation and Application Development. He has also worked for several years as a user interface designer, usability expert and senior developer in several IT companies designing and implementing large-scale research and commercial information systems. Then he joined Hellenic American University as Assistant Professor teaching human computer interaction, programming, managing information systems and database management in the Graduate and Undergraduate programs. Currently, he is with the Department of Informatics and Computers, at the Hellenic Air Force Academy teaching courses to pilots and engineers. His areas of interest include Data Mining, Social Network Analysis, Counterterrorism Informatics, Programming, Mobile Application Development, Information Visualization, Human Computer Interaction, Artificial Neural Networks, Power Transmission and Distribution Systems. He has published a number of books and research articles in his major areas of interests in international journals and conferences. He serves as a Series Editor in the Book Series Advanced Sciences and Technologies for Security Applications and as an Associate Editor in the Social Network Analysis and Mining journal. He also serves as program committee member in a large number of scientific journals and international conferences in his fields of interests such as the European Intelligence and Security Informatics Conference (EISIC) and the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Vishal M. Patel is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University. Prior to joining Hopkins, he was an A. Walter Tyson Assistant Professor in the Department of ECE at Rutgers University and a member of the research faculty at the University of Maryland Institute for Advanced Computer Studies (UMIACS).  His current research interests include signal processing, computer vision, and pattern recognition with applications in biometrics and imaging.  He has received a number of awards including the 2016 ONR Young Investigator Award, the 2016 Jimmy Lin Award for Invention, A. Walter Tyson Assistant Professorship Award, Best Paper Award at IEEE AVSS 2017 & 2019, Best Paper Award at IEEE BTAS 2015, Honorable Mention Paper Award at IAPR ICB 2018, two Best Student Paper Awards at IAPR ICPR 2018, and Best Poster Awards at BTAS 2015 and 2016. He is an Associate Editor of the IEEE Signal Processing Magazine, IEEE Biometrics Compendium, Pattern Recognition Journal, and serves on the Information Forensics and Security Technical Committee of the IEEE Signal Processing Society.  He is serving as the  Vice  President (Conferences)  of  the  IEEE  Biometrics  Council.  He is a member of Eta Kappa Nu, Pi Mu Epsilon, and Phi Beta Kappa.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access