Assessment item 1 back to top Initial Privacy and Security Assessment Value: 10% Due Date: 28-Jul-2019 Return Date: 19-Aug-2019 Length: Approx. 3000 words Submission method options: Alternative...

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Assessment item 1 back to top Initial Privacy and Security Assessment Value: 10% Due Date: 28-Jul-2019 Return Date: 19-Aug-2019 Length: Approx. 3000 words Submission method options: Alternative submission method Task back to top This assignment is designed to get you to reflect on your personal approach and feelings on information security and privacy. Essential Reading for this assignment:  · Automated facial recognition can benefit society – if we support its development properly at https://www.ifsecglobal.com/access-control/automated-facial-recognition-benefit-society-support-development-properly/ · A Survey On Various Problems & Challenges In Face Recognition at https://www.ijert.org/research/a-survey-on-various-problems-challenges-in-face-recognition-IJERTV2IS60850.pdf · Evaluating the use of automated facial recognition technology in major policing operations at https://phys.org/news/2018-11-automated-facial-recognition-technology-major.html · Why regulating facial recognition technology is so problematic - and necessary at https://theconversation.com/why-regulating-facial-recognition-technology-is-so-problematic-and-necessary-107284 · Automated facial recognition technology wrong in 98% of cases, says new report at  https://www.governmenteuropa.eu/automated-facial-recognition-technology-report/87498/ · Facial recognition: is the technology taking away your identity? at https://www.theguardian.com/technology/2014/may/04/facial-recognition-technology-identity-tesco-ethical-issues · Time for an about-face? Flaws in facial recognition plan  at https://www.aspistrategist.org.au/time-for-an-about-face-flaws-in-facial-recognition-plan/ · Facial Recognition and its Security Flaws at https://www.internetandtechnologylaw.com/bias-facial-recognition-flaws/ Task:  A State Government has decided to implement their own Automated Facial Recognition Authentication (AFRA) system to enhance user authentication and identification for access to various state-level services. Initially, these services are to include application for, and renewal of,  vehicle, boat and firearms licences. The government has said that these services will use AFRA as a trial to assess the benefits and savings before considering a wider roll-out to other services.   The State Police Service have indicated that they would like to see a roll-out of AFRA into the streets of all major cities in the state. They believe that AFRA would enable the Police to quickly identify criminals and other "persons of interest". You have been asked to prepare a paper that considers the implications of the AFRA system, its likely benefits and issues and its likely effects on the privacy and security of individuals who use this system. Read the articles listed above, and Chapter 2 Cybercrime in cloud:  Risks and responses in Hong Kong, Singapore, from the text before starting your report.   Your report should cover the following: 1. Discuss the possible benefits and problems that could be realised from the use of the AFRA system to identify individual users who wish to apply for or renew a licence.  2. Discuss the implications for an individual's privacy from their use of AFRA to apply for or renew a licence. 3. Discuss the ethical and privacy implications of the State Police's proposed use of AFRA.  4. Would the use of AFRA enhance the security and privacy of your digital identity if used solely for licence application or renewal? Would your security and privacy remain the same if the Police proposal was accepted? Discuss the personal implications  of these proposals.  Each question is worth 25 marks and your overall score will be scaled out of 10. As a guide, your word limit for this assignment should be around 3,000 words.  Referencing using the APA 6th edition format is required. Rationale back to top This assessment task will assess the following learning outcome/s: · be able to critically analyse the legal, ethical and business concerns for the security and privacy of data to be deployed to the cloud. Marking criteria and standards back to top   Question HD DI CR PS FL Q1. Benefits and problems from the use of AFRA for identification (25 marks) Comprehensive exploration of AFRA benefits and  issues for personal authentication and identification  Thorough exploration of AFRA benefits and  issues for personal authentication and identification Good exploration of AFRA benefits and  issues for personal authentication and identification Adequate exploration of AFRA benefits and  issues for personal authentication and identification Incomplete or inadequate  exploration of AFRA benefits and  issues for personal authentication and identification Q2. Individual privacy implications (25 marks) Comprehensive exploration of privacy issues from both personal and behavioural viewpoints Thorough exploration of privacy issues with many personal and behavioural viewpoints Good exploration of privacy issues with some personal and behavioural viewpoints Adequate discussion of privacy issues with some personal and behavioural viewpoints Inadequate or incomplete discussion of privacy issues that does not discuss personal and behavioural viewpoints Q3. Ethical and privacy implications of Police use of AFRA (25 marks Comprehensive discussion of issues with excellent coverage of ethical and privacy issues  Thorough discussion of issues with very good coverage of ethical and privacy issues    Good discussion of issues with good coverage of ethical and privacy issues   Adequate discussion of issues with some coverage of ethical and privacy issues Incomplete or inadequate discussion of issues with little or no coverage of ethical and privacy issues Q4. Will AFRA enhance personal security & privacy (25 marks) Comprehensive exploration of personal ethical and privacy issues around wide use of AFRA Thorough exploration of personal ethical and privacy issues around wide use of AFRA Good exploration of personal ethical and privacy issues around wide use of AFRA Adequate exploration of personal ethical and privacy issues around wide use of AFRA Incomplete or inadequate exploration of personal ethical and privacy issues around wide use of AFRA Referencing & Presentation Up to 5 marks may be deducted for inadequate or incomplete referencing  Up to 5 marks may be deducted for poor presentation, spelling and grammar
Answered Same DayJul 23, 2021ITC568Charles Sturt University

Answer To: Assessment item 1 back to top Initial Privacy and Security Assessment Value: 10% Due...

Sakshi answered on Jul 26 2021
144 Votes
Running head: AFRA SYSTEM        1
AFRA SYSTEM         
    
STUDENT NAME:
STUDENT ID:
TOPIC: AFRA SYSTEM
DATE: 24-07-2019
Contents
Introduction    3
Benefits and problems from the use of AFRA for identification    3
Benefits    3
Problems    4
Individual privacy implications    5
Ethical and privacy implications of police use of AFRA    6
AFRA enhances personal security and privacy    8
Conclusion    10
References    10
Introduction
Automated Facial Recognition Authentication system helps to enhance identification and authentication to access services. A state government decides to implement AFRA for its various state-level services. There are benefits, problems, issues
, and ethical implications and privacy to be considered before focusing on AFRA system. The roll-out of AFRA is to be seen in several cities to indicate and consider the benefits and issues while implementing the AFRA system. The report considers the major implications of the AFRA system, issues, and benefits that are likely faced by the government institute. The effects of AFRA on security and privacy are largely considered and focused.
Benefits and problems from the use of AFRA for identification
Automated facial recognition authentication system indicates face recognition which has become an active area of research as it is really helpful to engage with biometric security systems. The recent advances tend to indicate the state of the art which is fairly beyond the direct image of comparison from other systems (Acquisti, Gross & Stutzman, 2014). Face recognition is the computer application in which the system identifies the digital image and confirms the sequence of input for the authorities. An image sequence is provided in terms of FRS and this helps to apply the method of FRS in which the first step is to provide a face image that is stored in the database adequately to recognize the face image on the next go. AFRA largely benefits people in terms of identification of activities to be performed. This is a protected form of system that enhances the individual identity and confirms the identification while creating a safe environment.
Benefits
AFRA is an approach that enhances certain things to focus towards and create an environment that is around the core principles. AFR technology tends to enhance and benefit the industry in terms of regulating the system and considering immense technology. ARFA considers potential benefits in terms of technology change and several aspects that benefit and promote business security. There are positive steps to be noticed in the society as it is highly used in the biometric verification that is immensely needed by several organizations. AFRA is thereby used in this way to secure the system and adopt advance technology (Cardiff University, 2018). For several services such as phone login, computer, passport, mobile payment access, etc, the face recognition system is highly used for the smooth functioning of gateways.
For law enforcement agencies, AFRA is very essential and tends to ensure agency benefits on a large basis. This is due to the legitimate technology that ensures the AFR mix to be adopted in the business. AFR was initially trialed in South Wales that includes non-suspicious death case, recall prison, charges, and arrests, etc. The trials on foot passengers were the major success criteria to be noticed in controls of the number of cases. AFRA is used for better policymaking in terms of better policymaking. There are pros and cons of using AFRA with technology implementation to be put towards the approach adopted by governments. There are law enforcement agencies and police operations who use the AFRA services and learn the major curve of technology maturity. The challenges that are faced while using AFRA are reluctantly important to be understood while working towards solving the problem.
Problems
There are several issues in terms of adapting AFRA which are highly categorized in the group such as intrinsic and extrinsic groups. Intrinsic factors include the physical nature of the person. This ensures that the image is an independent observer. There are intrapersonal and interpersonal groups that are divided in the intrinsic factor which vary the facial appearance and consider facial paraphernalia and facial expression. Paraphernalia includes glasses, facial hair, and cosmetics while considering intrapersonal factors (Dormehl, 2014). On the other hand, interpersonal factors include the differences in appearance turn to be different for different individuals.
Extrinsic factors include the appearance of the face in which interaction of light may vary the facial image. The factors such as imaging parameters, scale, illumination and pose are major contradictions (Ohlyan & Sangwan, 2013). For example, focus, resolution, noise, and imaging are the common problems that are indicated in extrinsic factors largely. Thereby, factors such as automatically locating the face, illumination, pose, expressions, aging, low resolution, occlusion and identification of similar faces tend to create problems while using AFRA.
Individual privacy implications
Individual’s privacy is ensured while using AFRA in terms of renewing or making a new license. A biometric system tends to protect individuals privacy while working with advanced technology. It helps to establish the specific physiological characteristics of the user. The biometric system has an enrollment module and identification module that ensures accountable training to be provided in terms of identifying and scanning physiognomy in terms of digital representation (Galteria, Shavit & Hayajneh, 2018). This is a major template to be compared accordingly. The identification module tends to ensure privacy implications for the individual in terms of using digital representation and considering the recognition of capturing the image of a person. The technology is considered to be the growing technology which ensures the major focus on continuous growth in terms of computer physiognomy in which individual privacy is maintained. This is extensive research towards which the practical implications tend to perform and work towards the need of performing identification of face and tends to ensure stipulated use of advance technology that is highly required at several agencies such as passport agencies and police operations.
Individual privacy is maintained which is the core service that is provided by AFRA in terms of recognizing the face and considering the data storage activity. Face recognition...
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