AI-Driven Cloud Security: Examining the Impact of User Behavior Analysis on Threat Detection

Asian Journal of Research in Computer Science, Journal Year: 2024, Volume and Issue: 17(3), P. 57 - 74

Published: Jan. 29, 2024

This study explores the comparative effectiveness of AI-driven user behavior analysis and traditional security measures in cloud computing environments. It specifically examines their accuracy, speed, predictive capabilities detecting responding to cyber threats. As reliance on cloud-based solutions intensifies, integration Artificial Intelligence (AI) machine learning into has become increasingly vital. The research focuses how systems, with advanced pattern recognition anomaly detection, compare methods identifying deviations from standard behaviors settings. Employing a quantitative approach, utilizes detailed survey strategy, targeting cybersecurity professionals across multiple industries, including finance, healthcare, information technology, retail, government sectors. survey, comprising both closed-ended Likert-scale questions, is designed elicit nuanced responses perceptions experiences these regarding versus data, collected purposive sample 243 personnel, analyzed using regression analysis. facilitates an understanding impact different systems efficacy threat detection response contexts. results indicate that while significantly improve show slight edge. Conversely, demonstrate notably superior overall enhanced performance. These findings suggest necessity hybrid strategy computing. Such approach would combine AI, particularly analytics adaptability, rapid reliable methods. integrated proposed effectively address unique challenges posed by dynamic complex nature provides valuable insights for businesses IT effective highlights evolving role AI importance maintaining balance between innovative approaches established create robust, comprehensive framework.

Language: Английский

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Forecasting the Future: The Interplay of Artificial Intelligence, Innovation, and Competitiveness and its Effect on the Global Economy

Asian Journal of Economics Business and Accounting, Journal Year: 2024, Volume and Issue: 24(4), P. 126 - 146

Published: Feb. 26, 2024

The study investigates the profound impact of Artificial Intelligence (AI) on various facets global economic landscape. Against a backdrop rapid technological advancements, draws context pivotal IMF report highlighting transformative potential AI. suggests that AI could modify, replace, or transform about 60% jobs in advanced economies and significant proportion emerging low-income countries, reflecting paradigm shift employment structures. core objective this is to thoroughly examine role AI-driven innovation organizational competitiveness, its community development socioeconomic dynamics, implications national policies trends. A quantitative research methodology was employed, involving structured survey targeting diverse group professionals industries. meticulously designed capture insights into participants' experiences perceptions regarding implementation impacts. total 642 valid responses from consultants, technology enthusiasts, industry experts, policymakers provided robust dataset for analyzing study's four hypotheses. findings reveal integration significantly bolsters echoing contemporary literature. Higher levels adoption communities are linked improved outcomes, albeit with risk intensifying existing inequalities. On scale, strategies focusing correlate enhanced competitiveness. Furthermore, business processes markedly influences workforce necessitating shifts skill requirements job roles. In light these findings, paper recommends strategic within businesses, equitable policy frameworks deployment, focus strategies, substantial investment training, international collaboration ethics imperative maximizingAI's benefits while mitigating risks.

Language: Английский

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Data Governance in AI - Enabled Healthcare Systems: A Case of the Project Nightingale

Asian Journal of Research in Computer Science, Journal Year: 2024, Volume and Issue: 17(5), P. 85 - 107

Published: March 8, 2024

The study investigates data governance challenges within AI-enabled healthcare systems, focusing on Project Nightingale as a case to elucidate the complexities of balancing technological advancements with patient privacy and trust. Utilizing survey methodology, were collected from 843 service users employing structured questionnaire designed measure perceptions AI in healthcare, trust providers, concerns about privacy, impact regulatory frameworks adoption technologies. reliability instrument was confirmed Cronbach's Alpha 0.81, indicating high internal consistency. multiple regression analysis revealed significant findings: positive relationship between awareness projects countered by negative Additionally, familiarity perceived effectiveness positively correlated data, while constraints issues identified barriers effective technologies healthcare. highlights critical need for enhanced transparency, public awareness, robust navigate ethical associated recommends adopting flexible, principle-based approaches fostering multi-stakeholder collaboration ensure deployment that prioritize welfare

Language: Английский

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AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems

Asian Journal of Research in Computer Science, Journal Year: 2024, Volume and Issue: 17(3), P. 38 - 56

Published: Jan. 25, 2024

This comprehensive study explores the integration and effectiveness of Artificial Intelligence (AI) in Identity Access Management (IAM) within cloud environments. It primarily focuses on how AI can enhance user authentication, authorization, access control, addressing challenges possibilities computing. The adopts a mixed-methods approach, employing both quantitative qualitative analyses. A survey involving 582 cybersecurity experts provides insights into current state potential IAM, while multiple regression analysis examines impact various factors system effectiveness. Four hypotheses are explored: hardware software configurations accuracy (H1), influence computational environments reliability (H2), role demographic acceptance (H3), effect technological enhancements performance (H4). Findings indicate significant correlations between these IAM. Notably, security concerns accuracy; environment variations affect reliability; acceptance; such as feedback, advancements technology, continuous learning algorithms, transparency improve acceptance. These underscore need for advanced hardware, standardized software, user-centric design, improvement technologies effective IAM actionable recommendations service providers developers, emphasizing importance users development processes, ensuring transparency, adopting adaptive algorithms. Future research directions include longitudinal studies exploring demographic-specific responses to AI-integrated solutions.

Language: Английский

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Ballots and Padlocks: Building Digital Trust and Security in Democracy through Information Governance Strategies and Blockchain Technologies

Asian Journal of Research in Computer Science, Journal Year: 2024, Volume and Issue: 17(5), P. 172 - 189

Published: March 15, 2024

This research explores the integration of Information Governance (IG) strategies and Blockchain Technologies (BT) in enhancing digital trust security within democratic processes. Amid concerns about integrity vulnerability electoral systems era, this study examines how these technologies can collectively safeguard democracy. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM), bootstrapping analysis for mediation effects, Fornell-Larcker Criterion discriminant validity, was conducted on data from 934 participants involved process. Key findings demonstrate that IG significantly impact trust, indicating importance robust management, legal compliance, privacy measures public confidence systems. positively affect processes due to their decentralized immutable characteristics. Furthermore, is identified as a critical mediator between strategies, BT, processes, highlighting effectiveness technologies. Based insights gained, three actionable recommendations are proposed: Electoral authorities should adopt comprehensive frameworks enhance transparency; Pilot blockchain projects be expanded refine understand broader implementation implications election security; Efforts increased foster literacy among electorate, emphasizing role securing integrity.

Language: Английский

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CyberFusion Protocols: Strategic Integration of Enterprise Risk Management, ISO 27001, and Mobile Forensics for Advanced Digital Security in the Modern Business Ecosystem

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(6), P. 31 - 49

Published: May 4, 2024

This research paper explores the integration of Enterprise Risk Management (ERM), ISO 27001 standard, and mobile forensics methodologies as a comprehensive framework for enhancing digital security measures within modern business ecosystems. Employing quantitative design, this utilized survey methodology, gathering data from 372 professionals across various sectors including risk management, IT/security, forensic analysis. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test hypotheses assess impact integrated approach on organizational capabilities. findings reveal significant positive effect integrating ERM, 27001, an organization’s ability manage risks effectively. Specifically, found enhance strategic improve identification, assessment, mitigation risks, strengthen information management practices, elevate effectiveness efficiency crime investigation processes. These outcomes underscore value cohesive strategy that leverages strengths in addressing complex interconnected threat landscape. Based results, study recommends adopting holistic framework, investing continuous professional development, leveraging technological advancements proactive fostering culture collaboration. Such are crucial organizations aiming their resilience against cyber threats protect assets face sophisticated cyber-attacks. contributes field cybersecurity by providing empirical evidence benefits security, offering practical guidelines seeking measures, highlighting need adaptation collaboration fight threats.

Language: Английский

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Effect of Adopting AI to Explore Big Data on Personally Identifiable Information (PII) for Financial and Economic Data Transformation

Asian Journal of Economics Business and Accounting, Journal Year: 2024, Volume and Issue: 24(4), P. 106 - 125

Published: Feb. 26, 2024

The integration of Artificial Intelligence (AI) into big data analytics represents a pivotal shift in the management Personally Identifiable Information (PII) within financial sector. This study was prompted by increasing reliance on AI for handling sensitive and consequent rise security concerns, exemplified 2019 Capital One breach which compromised PII over 100 million individuals, highlighting vulnerabilities inherent digital storage systems. Aiming to critically evaluate effects adopting exploring economic sectors, focused assessing how can transform processes, enhance security, ensure compliance with regulatory requirements, maintain integrity. Employing quantitative research methodology, gathered from 532 professionals sector through surveys distributed via LinkedIn. hypotheses were tested using multiple regression analysis. study's findings revealed that adoption managing significantly enhances privacy However, it also increases risk sophisticated cyber-attacks such as adversarial attacks poisoning. Significantly, institutions integrate their systems demonstrate higher protection regulations, AI-driven cybersecurity strategies found markedly improve performance Based these insights, recommends best practices guidelines effectively These include prioritizing privacy, ensuring compliance, investing cybersecurity, risks integration. advocates balanced approach adoption, emphasizing need robust measures, continuous monitoring, adapting evolving technological landscape.

Language: Английский

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The Evolution of Terrorism in the Digital Age: Investigating the Adaptation of Terrorist Groups to Cyber Technologies for Recruitment, Propaganda, and Cyberattacks

Asian Journal of Economics Business and Accounting, Journal Year: 2024, Volume and Issue: 24(3), P. 289 - 306

Published: Feb. 20, 2024

This paper delves into the critical and evolving challenge posed by terrorist organizations' adaptation to cyber technologies, as proliferation of these technologies significantly impacts societal security dynamics globally. The highlights case ISIS a prime example, illustrating group's sophisticated use cyberspace for purposes ranging from global recruitment attack planning, thereby demonstrating complexity reach modern cyberterrorism. Aiming investigate groups study primarily focuses on methods used recruitment, propaganda, execution cyberattacks. research employs quantitative methodology, relying survey strategy gather data, it engages with consultants policy specialists in counter-terrorism, alongside cybersecurity experts. findings reveal substantial impact digital platforms influence groups, increasing sophistication cyberattacks, extensive socio-economic repercussions digital-age terrorism. culminates offering insightful recommendations, urging multifaceted response integrating technological, social, international measures. It emphasizes enhancing literacy public awareness combat extremist narratives misinformation. necessity cooperation intelligence sharing is underscored, highlighting nature threat need unified standards regulating spaces. Additionally, advocates stringent regulatory measures advanced detection counter misuse drones 3D-printed weapons, pointing collaborative efforts across various sectors strike balance between innovation.

Language: Английский

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Bridging the Digital Divide: Exploring the Role of Artificial Intelligence and Automation in Enhancing Connectivity in Developing Nations

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(6), P. 165 - 177

Published: May 17, 2024

This research paper explores the potential of artificial intelligence (AI) and automation to reduce digital divide in developing countries. The study investigates how these technologies can enhance accessibility efficiency critical sectors such as education, healthcare, agriculture, economic development, thereby contributing social progress. Key findings indicate that AI significantly improve educational outcomes by providing personalized learning experiences, enhancing healthcare delivery through better diagnostics patient care, increasing agricultural productivity with precision farming, stimulating growth creating new job opportunities improving market access. However, deploying faces substantial challenges, including inadequate infrastructure, significant skills gaps, cultural resistance, policy constraints. adopts a mixed-methods approach, combining quantitative data analysis qualitative case studies comprehensively understand impacts challenges associated implementing less developed regions. scope spans several countries, offering insights relevant policymakers, NGOs, private sector engaged technology deployment for development. underscores necessity collaborative approach overcome identified barriers suggests strategic recommendations stakeholders leverage practical tools closing divide. contributes broader discourse on technology’s role global highlighting both transformative need inclusive context-sensitive governance.

Language: Английский

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Digital Collaborative Tools, Strategic Communication, and Social Capital: Unveiling the Impact of Digital Transformation on Organizational Dynamics

Asian Journal of Research in Computer Science, Journal Year: 2024, Volume and Issue: 17(5), P. 140 - 156

Published: March 11, 2024

The rapid advancement of digitalization has significantly impacted how organizations operate, with collaborative tools like Asana, Trello, and Slack becoming integral to fostering internal communication, collaboration, social capital. Despite their widespread adoption, the comprehensive impact these on organizational culture, employee engagement, capital remains underexplored. This study aims bridge this gap by examining potential digital enhance exploring role strategic communication inclusivity in process. Utilizing a quantitative research approach, data were collected from 557 professionals through survey distributed via LinkedIn. questionnaire, designed Likert scale closed-ended questions, focused utilization perceived within organizations. Multiple regression analysis was employed test four hypotheses related effects tool usage dynamics. findings reveal that collaboration organizations, frequency purpose being key factors. Moreover, for networking quality interactions facilitated found positively development However, challenges integrating shown negatively affect development, though technical support training could mitigate effects. Interestingly, introduction 'social score' feature positively, indicating its further engage users enrich underscores importance adopting approach implementing tools, emphasizing beyond operational efficiency include enhancement culture. Recommendations networking, providing adequate training, integration features incentivize engagement collaboration.

Language: Английский

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