DocumentCode :
167077
Title :
Biometric authentication for older adults
Author :
Kowtko, Marc Alexander
Author_Institution :
Seidenberg Sch. of Comput. Sci. & Inf. Syst., Pace Univ., Pleasantville, NJ, USA
fYear :
2014
fDate :
2-2 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
In recent times, cyber-attacks and cyber warfare have threatened network infrastructures from across the globe. The world has reacted by increasing security measures through the use of stronger passwords, strict access control lists, and new authentication means; however, while these measures are designed to improve security and Information Assurance (IA), they may create accessibility challenges for older adults and people with disabilities. Studies have shown the memory performance of older adults decline with age. Therefore, it becomes increasingly difficult for older adults to remember random strings of characters or passwords that have 12 or more character lengths. How are older adults challenged by security measures (passwords, CAPTCHA, etc.) and how does this affect their accessibility to engage in online activities or with mobile platforms? While username/password authentication, CAPTCHA, and security questions do provide adequate protection; they are still vulnerable to cyber-attacks. Passwords can be compromised from brute force, dictionary, and social engineering style attacks. CAPTCHA, a type of challenge-response test, was developed to ensure that user inputs were not manipulated by machine-based attacks. Unfortunately, CAPTCHA are now being exploited by new vulnerabilities and exploits. Insecure implementations through code or server interaction have circumvented CAPTCHA. New viruses and malware now utilize character recognition as means to circumvent CAPTCHA [1]. Security questions, another challenge response test that attempts to authenticate users, can also be compromised through social engineering attacks and spyware. Since these common security measures are increasingly being compromised, many security professionals are turning towards biometric authentication. Biometric authentication is any form of human biological measurement or metric that can be used to identify and authenticate an authorized user of a secure system. Biometric authentication- can include fingerprint, voice, iris, facial, keystroke, and hand geometry [2]. Biometric authentication is also less affected by traditional cyber-attacks. However, is Biometrics completely secure? This research will examine the security challenges and attacks that may risk the security of biometric authentication. Recently, medical professionals in the TeleHealth industry have begun to investigate the effectiveness of biometrics. In the United States alone, the population of older adults has increased significantly with nearly 10,000 adults per day reaching the age of 65 and older [3]. Although people are living longer, that does not mean that they are living healthier. Studies have shown the U.S. healthcare system is being inundated by older adults. As security with the healthcare industry increases, many believe that biometric authentication is the answer. However, there are potential problems; especially in the older adult population. The largest problem is authentication of older adults with medical complications. Cataracts, stroke, congestive heart failure, hard veins, and other ailments may challenge biometric authentication. Since biometrics often utilize metrics and measurement between biological features, anyone of the following conditions and more could potentially affect the verification of users. This research will analyze older adults and their impact of biometric authentication on the verification process.
Keywords :
authorisation; biometrics (access control); invasive software; medical administrative data processing; mobile computing; CAPTCHA; Cataracts; IA; TeleHealth industry; US healthcare system; access control lists; authentication means; biometric authentication; challenge-response test; congestive heart failure; cyber warfare; cyber-attacks; dictionary; hard veins; healthcare industry; information assurance; machine-based attacks; medical professionals; mobile platforms; network infrastructures; older adults; online activities; security measures; security professionals; social engineering style attacks; spyware; stroke; username-password authentication; Authentication; Barium; CAPTCHAs; Computers; Heart; Iris recognition; Biometric Authentication; CAPTCHA; Cyber-attacks; Information Security; Older Adults; Telehealth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Applications and Technology Conference (LISAT), 2014 IEEE Long Island
Conference_Location :
Farmingdale, NY
Type :
conf
DOI :
10.1109/LISAT.2014.6845213
Filename :
6845213
Link To Document :
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