Patient-centric cybersecurity

Brantly, Aaron F.; Brantly, Nataliya

doi:10.1080/23738871.2020.1856902

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…Collaborative efforts between industry, academia, and regulatory bodies can lead to the development of standardized frameworks and best practices for implementing AI in cybersecurity [30].…”

Section: Collaboration and Standardizationmentioning

confidence: 99%

Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries

Bhattacharya,

Najana,

Deshmukh

et al. 2024

International Journal of Global Innovations and Solutions (IJGIS)

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In this paper we analyze the use of Virtual AI Agents (VAAs) in registration systems emphasizing how they can boost security and user friendliness in various sectors. Through a secondary research approach the study compiles information from sources case studies and industry reports from respected organizations like Gartner, Forrester , IDC and PwC. The research reveals that VAAs play a role in enhancing security by detecting fraud analyzing threats in real time and integrating with multi factor authentication (MFA). Moreover, they offer usability benefits such as user interactions, lower registration errors and increased accessibility. Real life examples from finance, healthcare and online shopping highlight the advantages of using VAAs including improved customer satisfaction and operational efficiency. The paper also addresses the challenges associated with implementing VAAs, like technical constraints, privacy issues and the importance of finding a balance between automation and human supervision. Looking ahead, the discussion touches on prospects involving AI advancements, industry trends to watch out for, as well as potential areas for further research and development.This detailed examination underscores how VAAs can revolutionize registration systems while offering recommendations, for organizations considering their adoption. MethodologyThis paper employs a secondary research methodology, leveraging a comprehensive analysis of existing literature, case studies, and industry reports. The methodology encompasses several key steps to ensure a thorough and balanced examination of Virtual AI Agents (VAAs) in registration systems: 1. Literature Review: Scope and Sources: We conducted an extensive review of academic papers, journal articles, and conference proceedings published in the fields of computer science, cybersecurity, artificial intelligence, International Journal of Global Innovations and Solutions (IJGIS) • IJGIS May 2024 Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries 3 and human-computer interaction. Key databases such as IEEE Xplore, ACM Digital Library, Google Scholar, and PubMed were utilized to source relevant literature.Criteria for Selection: Articles were selected based on their relevance to the topic, publication date (preference given to recent publications from the last five years), and the credibility of the authors and journals. We focused on studies that addressed both the technological aspects of VAAs and their applications in registration systems. Case Studies:Selection of Case Studies: We identified and analyzed case studies from various industries where VAAs have been implemented in registration systems. These industries include finance, insurance, healthcare, ecommerce, and public services.Data Collection: Information was gathered from company reports, white papers, industry publications, and news articles. Case studies were chosen to illustrate a range of use cases, highlighting both successes and challenges in the deployment of VAAs. ...

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Section: Collaboration and Standardizationmentioning

confidence: 99%

Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries

Bhattacharya,

Najana,

Deshmukh

et al. 2024

International Journal of Global Innovations and Solutions (IJGIS)

View full text Add to dashboard Cite

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“…Research has shown that adversary decisions are not completely rational and are influenced by cognitive biases (Cranford, et al, 2021;Gutzwiller & Ferguson-Walter, 2019). Empirical support for the cognitive effects of defensive cyber deception and maneuvers is limited but demonstrates promise (Cranford, et al, 2021;Gutzwiller & Ferguson-Walter, 2019;McKneely, et al, 2022) Operationalization of cyber maneuver is enabled with cyber maneuver frameworks that describe how to use them to attain objectives in cyber domain (Brantly, 2015, MITRE, 2022 primarily through deception (Almeshekah & Spafford, 2016;Duan et al, 2018). However, most current cyber frameworks tend to focus heavily on the technical solutions and anticipated system response.…”

Section: Background On Enhanced Cyber Maneuver Frameworkmentioning

confidence: 99%

“…Cyber defense frameworks typically focus on sophisticated technology solutions (Brantly, 2015;Duan, Al-Shaer, Islam, & Jafarian, 2018;Jafarian, 2017) or are limited to cyber deception (Almeshekah & Spafford, 2016).…”

Section: Introductionmentioning

confidence: 99%

Pandemic as Digital Change Accelerator: Sustainable Reshaping of Adult Education Post Covid-19

Sofkova Hashemi,

Berbyuk Lindström,

Bergdahl

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Perimeter based defenses are limited in deterring and defeating cyberattacks. Multi-layered defenses with predictable effects are needed to provide robust cybersecurity against Advanced Persistent Threats. Cyber maneuver implements proactive defensive cyber actions to achieve positional or temporal advantages over an adversary in the cognitive, technical, and physical domains. However, understanding cognitive effects on adversaries is nascent. The paper describes application and results of an enhanced cyber maneuver framework designed to predict adversary behavioral and cognitive response to maneuvers. Results from remote pilot testing of cyber maneuvers including "herd/traffic slowing", "deception", and "stimulate a response/reset" are presented. The pilot study builds on prior research of in-lab experimentation of red teamer cognitive and behavioral response to cyber maneuvers and extends the testing method to remote configurations, enabling testing with a broader pool of participants. The framework and test methodology supports design and evaluation of cyber maneuvers' impact on attackers prior to deployment.

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“…Firms manipulate the perceptions of human worth and value through the weaponization of information infrastructure for profit or political gain [99][100][101]. The constant and increasing challenges associated with data and algorithms impacting on human dignity are likely to grow as they influence everything from employment and education [102], to healthcare [103,104] and criminal justice [105].…”

Section: Applie Cybersecurity and Internet Governancementioning

confidence: 99%

Utopia Lost – Human Rights in a Digital World

Brantly

2022

Applied Cybersecurity & Internet Governance

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The long progress towards universal human rights is regressing. This regression is pronounced within digital spaces once thought to be potential bulwarks of a new era in human rights. But on the contrary, new technologies have given rise to threats that undermine the autonomy, empathy, and dignity of human beings. Early visions of human rights being strengthened by networked technologies have instead crashed into technological realities which not only fail to advance human rights discourses, but rather serve to actively undermine fundamental human rights in countries around the world. The future of human rights is increasingly threatened by advances that would make George Orwell blush. Omnipresent data collection and algorithmic advances once promising a utopian world of efficiency and connection are deeply interwoven with challenges to anonymity, privacy, and security. This paper examines the impact of technological advances on the regression of human rights in digital spaces. The paper examines the development of human rights through changes in concepts of autonomy, empathy, and dignity, it charts their regression as technologies are used to increasingly prey on these very same characteristics that undergird human rights discourses.

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Patient-centric cybersecurity

Cited by 5 publications

References 28 publications

Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries

Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries

Pandemic as Digital Change Accelerator: Sustainable Reshaping of Adult Education Post Covid-19

Utopia Lost – Human Rights in a Digital World

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