The Impact of Digital Technologies on Public Health in Developed and Developing Countries

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic

Improving Access and Mental Health for Youth Through Virtual Models of Care

The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14–25 years, with symptoms of anxiety/depression. This project includes 115 youth who are accessing outpatient mental health services at one of three hospitals and two community agencies. The youth and care providers are using eHealth technology to enhance care. The technology uses mobile questionnaires to help promote self-assessment and track changes to support the plan of care. The technology also allows secure virtual treatment visits that youth can participate in through mobile devices. This longitudinal study uses participatory action research with mixed methods. The majority of participants identified themselves as Caucasian (66.9%). Expectedly, the demographics revealed that Anxiety Disorders and Mood Disorders were highly prevalent within the sample (71.9% and 67.5% respectively). Findings from the qualitative summary established that both staff and youth found the software and platform beneficial

Account Recovery Methods for Two-Factor Authentication (2FA): An Exploratory Study

System administrators have started to adopt two-factor authentication (2FA) to increase user account resistance to cyber-attacks. Systems with 2FA require users to verify their identity using a password and a second-factor authentication device to gain account access. This research found that 60% of users only enroll one second-factor device to their account. If a user’s second factor becomes unavailable, systems are using different procedures to ensure its authorized owner recovers the account. Account recovery is essentially a bypass of the system’s main security protocols and needs to be handled as an alternative authentication process (Loveless, 2018). The current research aimed to evaluate users’ perceived security for four 2FA account recovery methods. Using Renaud’s (2007) opportunistic equation, the present study determined that a fallback phone number recovery method provides user accounts with the most cyber-attack resistance followed by system-generated recovery codes, a color grid pattern, and graphical passcode. This study surveyed 103 participants about authentication knowledge, general risk perception aptitude, ability to correctly rank the recovery methods in terms of their attackr esistance, and recovery method perceptions. Other survey inquires related to previous 2FA, account recovery, and cybersecurity training experiences. Participants generally performed poorly when asked to rank the recovery methods by security strength. Results suggested that neither risk numeracy, authentication knowledge, nor cybersecurity familiarity impacted users’ ability to rank recovery methods by security strength. However, the majority of participants ranked either generated recovery codes, 39%, or a fallback phone number, 25%, as being most secure. The majority of participants, 45%, preferred the fallback phone number for account recovery, 38% expect it will be the easiest to use, and 46% expect it to be the most memorable. However, user’s annotative descriptions for recovery method preferences revealed that users are likely to disregard the setup instructions and use their phone number instead of an emergency contact number. Overall, this exploratory study offers information that researchers and designers can deploy to improve user’s 2FA- and 2FA account recovery- experiences