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Information Security and Biometrics

Special issue call for papers from Information Discovery and Delivery

Guest editor(s):

    Associate Professor Gang Li
    School of Information Technology, Deakin University, Australia; 

Email: [email protected]

    Associate Professor Srikanth Prabhu
    Manipal Academy of Higher Education, Manipal, India

Email: [email protected]

    Dr Jia Wu
    Macquarie University, Australia;   

Email: [email protected] 

In this special issue, we are soliciting high-level research contributions in this area in order to propose useful solutions to secured Information Discovery and Delivery. 

As Internet technology advances, cyberspace generates a staggering volume of data, and the capacity to electronically store, transfer and process those data continues to grow exponentially. Essentially Big Data is not a completely new technology, and current cyberspace technologies such as cloud computing and mobile telecommunication systems provide the platforms for automation of all the involved processes ranging from information discovery, processing, delivery and analysis.

Security and privacy in information discovery and delivery has a lot in common with their traditional counterparts. However, due to the enormous data volume in this Big Data era, security and privacy issues are more challenging, especially when combined in cyberspace. For example, large volumes of data provide the potential information source that enables an adversary to identify personal, sensitive information by using simple background knowledge such as  social network username or neighborhood search with KNN attacks. This serious privacy violation may not have been easy to implement previously, but has become possible in the Big Data era. Accordingly, security and privacy in cyberspace Big Data is crucial for today’s research work.

Biometrics are the emerging measure to quantify a person using his/her biological properties like finger print, face, retina, DNA, etc. It has got two parts ‘Bio’ and “Metrics’, with Metrics representing the measure for Bio. These measures can be Euclidean distance, Statistical distance, etc. Any experiment using information security, feature extraction and classification are potentially empowered by the biometrics. Since the field of biometrics cannot go forwards independently, it is also possible to emulate the security features of biological properties using information security.  

We would like to invite the authors to submit their research on the broad area of information security and biometrics, including but not limited to the following topics:

  • Performance evaluation of biometric systems
  • Multi-biometrics
  • Behavioral biometrics
  • Emerging biometrics
  • Finger print biometrics
  • Facial biometrics
  • Gesture biometrics
  • Retinal biometrics
  • Quality of biometric data
  • Biometric template protection
  • Presentation attack detection
  • Content protection and digital rights management
  • Risk and reputation management
  • Identity and trust management
  • Information hiding and anonymity
  • Privacy, security and trust in social media
  • Security of embedded systems
  • Security protocols
  • Authentication protocols
  • Privacy protocols
  • Password security
  • Security of personal data
  • Classification protocols
  • Information statistics
  • Distribution protocols
  • Information abuse
  • Information solutions

Submissions should comply with the journal author guidelines which are here. They should be made through ScholarOne Manuscripts, the online submission and peer review system. Registration and access is available here.

Initial submissions due date: February 1st, 2019

Preliminary Feedback notification: March 15th, 2019

Revised submissions due: May 1st, 2019

Peer review / editorial decisions due: June 1st, 2019

Final submissions due: July 15th, 2019

Expected publication: summer 2019.