The IEEE International Carnahan Conference on Security Technology (ICCST) is an annual conference sponsored by international organizations to create an open forum for the exchange of information related to security technology.
The ICCST is focused on the research, development, testing, and systems engineering of electronic security technology, including the operational testing, life-cycle, and performance. It establishes a forum for the exchange of ideas and dissemination of information on both new and existing technology.
Conference participants are encouraged to consider the impact of their work on society. The Conference is an interchange of knowledge through the presentation of technical papers that have been selected by the ICCST organizing committee. It is where engineers, physicists, scientists, security professionals and social scientists share with each other the results of their research and development on crime countermeasures. The ICCST also provides a basis for long range support and assistance to authorities and agencies responsible for security, safety and law enforcement in the use of available and future technology. A conscientious effort is made to communicate the significance of developments to other interested groups. Liaison is maintained with professional societies and information media not especially related to engineering.
The 2016 edition was held 24-27 October 2016, and University of Kent participated through the PIDaaS project. They showed to experts from academia, industry, national laboratories and the ICCST Executive Committee how the PIDaaS application can leverages the technologies that have any Smartphone (front camera and microphone) to access to electronic services through biometric recognition, promoting a safer ingress that allow to users to rely more on that services. They also remark that the PIDaaS Mobile Application, which three end-user service providers are using from three different countries (Spain, Italy and Lithuania), has applied since the initial version the Human-Biometric-Sensor Interaction (HBSI) framework for biometric evaluations to guarantee an effective usability and interaction.