Information Security and Privacy in Facial Detection

Running head: INFORMATION SECURITY AND PRIVACY IN FACIAL DETECTION
INFORMATION SECURITY AND PRIVACY IN FACIAL DETECTION
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INFORMATION SECURITY AND PRIVACY IN FACIAL DETECTION
Table of Contents
Introduction....................................................................................................................2
Possible benefits and problems of use of AFRA systems..........................................2
Implications for the privacy of individual from AFRA.............................................4
Ethical and privacy implications of AFRA................................................................5
Implications of deployment of AFRA in various aspects..........................................7
Conclusion......................................................................................................................8
References......................................................................................................................9

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INFORMATION SECURITY AND PRIVACY IN FACIAL DETECTION
Introduction
This report intends to discuss the information security and the privacy aspects of the
Automated Facial Recognition Authentication. The probable benefits and the issues of the
use of AFRA systems has been briefly discussed in this report. The implications for the
privacy of the individuals from the use of AFRA in the police services has been briefly
discussed in this report. The discussion of the ethical and the privacy implications of the use
of AFRA has been provided briefly in this report. The major implications of the
implementation of this technology in the police services has been briefly discussed in this
report. Lastly this report concludes with an appropriate conclusion for the report.
Possible benefits and problems of use of AFRA systems
The automated facial recognition authentication for the renewal of the driver license
could be observed as the most appropriate use of the system (Parmar & Mehta, 2014). The
facial recognition could be considered as the non-intrusive biometric technology that denotes
that the facial recognition systems could easily scan the faces of the citizen deprived of any
participation from the citizens. In the aspect of law enforcement, the leadership is required to
evaluate the technology when the opportunities arise in making the officers significantly
efficient, with better information and significantly safer (Chen, 2015). The use of the
technology in the present world has significantly changed the manner by which the peoples
think of the conventional business models. All through the history, the law enforcement has
easily leveraged the technologies and in the present technological world, the leveraging of the
biometric technology is being done for creating significant efficiencies. The major intention
of the facial recognition technology is in the crime prevention. There are several kinds of
crimes that could be easily reduced with the proper use of the facial recognition technology.
The facial recognition could be easily used as the real time application for identifying the

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INFORMATION SECURITY AND PRIVACY IN FACIAL DETECTION
wanted persons and the known suspects ("Automated facial recognition can benefit society –
if we support its development properly - IFSEC Global | Security and Fire News and
Resources", 2019).
The instant identifications of the individuals have significant benefit of making the
various transportation modes faster, locating the missing adults or children and assisting
instantly for apprehending the individuals for any serious crimes. In the aspect of the driver’s
license renewal, the facial recognition could help in detecting the fraudulent individuals who
possess more than one drivers licence under various names ("Evaluating the use of automated
facial recognition technology in major policing operations", 2019).
Even though there are several benefits of the facial recognition system, there are some
challenges that are required to be considered:
Automatic locating the face: The detecting or locating any face in any image or video
is considered as the initial step within any face recognition system. For example, within any
video surveillance system that has been implemented in any crowded place, it is significant
difficult task to detect any face as there always might be some motion. Moreover, the
background of any image or video makes it significantly difficult to detect the faces.
Illumination: The illumination denotes to the light variations. The changes in the
illumination could vary the complete magnitude of the intensity of the light that has been
reflected back from any object and the pattern of the shadows and the shading that is visible
in any image. The varying of illumination could result in the larger differences in the images
than the varying either viewpoint or the identity of any face. Any similar individual who has
been imaged with the similar camera and then viewed with approximately the similar facial
expression as well as the pose might appear significantly different with the changes in
lighting conditions ("Why regulating facial recognition technology is so problematic - and