Designing Cybersecurity Measures for Enterprise Software Applications to Protect Data Integrity

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1920 - 1941

Опубликована: Авг. 23, 2024

In an era of escalating cyber threats, safeguarding data integrity in enterprise software applications is critical for maintaining trust and operational stability. Designing robust cybersecurity measures essential to protect sensitive information from unauthorized access, alteration, loss. This review explores key strategies methodologies developing comprehensive frameworks tailored applications. Effective begins with a thorough risk assessment identify potential vulnerabilities threats specific the enterprise's environment. Implementing multilayered security measures, including encryption, access controls, authentication protocols, vital mitigating risks. Encryption protects transit at rest, ensuring that even if intercepted, remains unintelligible parties. Access controls mechanisms, such as multifactor (MFA), enhance by verifying identity users restricting based on roles permissions. Regular audits vulnerability assessments play crucial role detecting addressing weaknesses. These should be conducted both internally externally provide view posture. Additionally, adopting secure coding practices integrating into development lifecycle (SDLC) help identifying during phase. Incident response planning another aspect cybersecurity. Developing well-defined incident plan ensures can quickly effectively address breaches, minimizing damage restoring integrity. includes establishing protocols detecting, responding to, recovering incidents. Educating training employees about best Employees aware common phishing social engineering attacks, understand their enterprise’s data. conclusion, designing effective requires multifaceted approach assessment, regular audits, practices, planning, employee training. By implementing these strategies, enterprises defenses, integrity, ensure resilience against evolving threats. Keywords: Designing, Cybersecurity, Data Integrity, Software Applications, Enterprise.

Язык: Английский

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Enhancing software development practices with AI insights in high-tech companies

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 1897 - 1919

Опубликована: Авг. 23, 2024

Artificial Intelligence (AI) is revolutionizing software development practices in high-tech companies, providing transformative insights and tools that enhance productivity, quality, efficiency. This review explores the integration of AI into processes, highlighting its impact on key areas such as code generation, bug detection, project management, testing. AI-driven are enabling developers to automate repetitive tasks, optimize code, identify potential issues before they become critical, thus reducing time improving reliability. Machine learning algorithms analyze vast amounts data from past projects provide predictive analytics, guiding teams decision-making resource allocation. Natural language processing (NLP) facilitates more intuitive interactions with tools, streamlining communication collaboration among team members. Furthermore, enhances continuous deployment (CI/CD) pipelines by automating testing stages, ensuring changes seamlessly integrated deployed minimal human intervention. By leveraging AI, companies can adopt agile methodologies, respond swiftly market changes, deliver high-quality products. The also discusses challenges integrating development, including need for substantial initial investment, complexity models, importance privacy security. Solutions fostering a culture learning, investing AI-specific training developers, establishing robust governance frameworks essential overcoming these barriers. In conclusion, offer significant advantages them their practices, achieve greater efficiency, maintain competitive edge rapidly evolving technological landscape. Embracing advancements requires strategic approach, investment technologies training, fully harness drive innovation development. Keywords: Software Development, High-Tech, Practices, Companies.

Язык: Английский

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Ethical dilemmas in healthcare management: A comprehensive review

International Medical Science Research Journal, Год журнала: 2024, Номер 4(6), С. 703 - 725

Опубликована: Июнь 25, 2024

This research paper comprehensively examines ethical dilemmas in healthcare management, offering insights into emerging trends, technological impacts, and anticipated guideline changes. The explores managers' multifaceted challenges, including conflicting stakeholder interests, the delicate balance between patient rights organizational goals, navigating diverse cultural values. Strategies for mitigating dilemmas, such as education, policy implementation, collaborative decision-making, are discussed. Additionally, delves evolving landscape influenced by genomic medicine, artificial intelligence, telehealth. implications managers include need continuous leadership, literacy. As transforms, embracing practices becomes imperative fostering patient-centric, equitable, ethically sound environments. Keywords: Healthcare Management Ethics, Ethical Dilemmas, Technological Impacts, Leadership.

Язык: Английский

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Perspective Chapter: The Role of Human Resources Management in Employee Well-Being

IntechOpen eBooks, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

The rules of the game have been changed for actors business life due to unpredictable and unforeseen impacts COVID-19 pandemic. These changing conditions reshaped fierce competition challenges among establishments. key success in such an environment is attributed qualified labor force. However, impact difficult has created significant important effects not only on organizations but also employees. Therefore, need focus well-being their employees ensure health increase performance. Well-being refers totality both mental physical employee. main purpose this chapter conceptually discuss role human resource management ensuring employee well-being. Within scope purpose, importance necessity department underlined.

Язык: Английский

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Assessing the transformative impact of cloud computing on software deployment and management

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(8), С. 2062 - 2082

Опубликована: Авг. 31, 2024

Cloud computing has fundamentally transformed the landscape of software deployment and management, offering significant benefits reshaping traditional approaches. This review explores transformative impact cloud on these domains, highlighting key changes advantages. Firstly, revolutionized by introducing scalable flexible infrastructure solutions. Unlike onpremises systems that require upfront investment ongoing maintenance, platforms offer ondemand resources payasyougo models. shift enables organizations to deploy rapidly, adapt changing needs, scale efficiently without constraints physical hardware. Additionally, enhances management through centralized control automation. environments provide integrated tools streamline deployment, monitoring, maintenance applications. These facilitate automated updates, patch system backups, reducing burden IT teams minimizing downtime. Furthermore, cloudbased realtime visibility analytics, allowing for proactive performance monitoring troubleshooting. The collaborative nature also fosters improved development practices. support DevOps methodologies enabling continuous integration delivery (CI/CD) pipelines. accelerates cycles, collaboration among distributed teams, ensures consistent reliable deployments. Moreover, cloud's global reach accessibility break down geographical barriers, across multiple regions effortlessly. geographic flexibility user experience high availability performance, regardless user's location. Despite advancements, transition presents challenges, including data security compliance concerns. Organizations must implement robust measures adhere regulatory requirements protect sensitive information maintain trust. In conclusion, had a profound scalable, flexible, efficient Its effects include streamlined operations, collaboration, accessibility. As technology continues evolve, navigate associated challenges while leveraging its drive innovation efficiency in management. Keywords: Management, Impact, Computing, Software Deployment, Assessing

Язык: Английский

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Küresel Seyahat Sağlığı Riskleri ve Güvenlik Önlemleri: Kapsamlı Bir İnceleme

Abant Sosyal Bilimler Dergisi, Год журнала: 2025, Номер 25(1), С. 404 - 423

Опубликована: Март 24, 2025

Uluslararası seyahatin hızla yaygınlaşması, küresel ekonomik entegrasyon, kültürel değişim ve kişisel zenginleşme için önemli fırsatlar oluşturmuştur. Ancak, gezginler politika yapıcılar tarafından dikkatli bir şekilde yönetilmesi gereken sağlık güvenlik riskleri de getirdi. Bu literatür incelemesi, bulaşıcı hastalıklar, çevresel tehlikeler kronik durumu yönetimi ile temel seyahat güvenliği önlemleri dahil olmak üzere uluslararası seyahatle ilişkili birincil risklerini incelemektedir. COVID-19 salgınının ardından kültür şoku, yorgunluğu artan ruh sağlığı endişeleri gibi zorlukları vurgulayarak psikolojik etkisini araştırmaktadır. Mobil uygulamaları, tele tıp acil durum müdahale araçları teknolojik yenilikler, bu azaltmada etkili hale gelerek gezginlerin dünya çapında güvenliğini destekler. inceleme, özellikle gelişmiş protokolleri dijital sertifikalarının entegrasyonu açısından salgının getirdiği kalıcı değişiklikleri ele alarak sona ermektedir. Sonuç olarak, çalışma gezginlerin, kuruluşlarının endüstrisinin, gelişen ortamında güvenliği, sürdürülebilirliği sağlığını önceliklendiren uyarlanabilir stratejiler benimsemesi gerektiğinin altını çizmektedir.

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Approach to Design and Evaluate Digital Tools to Enhance Young Adult Participation in Clinical Trials: Co-Design and Controlled Intercept Study

Journal of Medical Internet Research, Год журнала: 2025, Номер 27, С. e70852 - e70852

Опубликована: Апрель 11, 2025

Background Certain populations are underrepresented in clinical trials, limiting the generalizability of new treatments and their efficacy uptake these populations. It is essential to identify understand effective strategies for enrolling young adults as they represent a vital key demographic future trial participation. Objective This study aimed develop, test, evaluate digital tools designed encourage participation process. An interdisciplinary approach, incorporating social listening, qualitative focus groups, co-design workshops, was used achieve this goal. Methods Digital were evaluated using 4-phase approach that included: (1) listening characterize lived experiences with COVID-19 trials self-reported by online users, (2) groups explore specific attitudes related research hesitancy engagement, (3) series cocreation workshops build at encouraging participation, (4) controlled intercept assess usability outcome measures co-designed among adults. Results A significantly higher change likelihood participating post exposure observed participants when exposed prototypes mobile app (Δ=0.74 on 10-point scale, P<.01) website (Δ=0.93, compared those Facebook ad (Δ=0.21) but not flyer (Δ=0.58). Furthermore, (x̅=5.76, P=.04) electronic flier (x̅=5.72, P=.04), (x̅=5.55), exhibited postexposure interest learning about (Meta) (x̅=5.06). Participants more likely consider joining after seeing (Δ=0.74, or P<.001) (Δ=0.21), (Δ=0.58) did show significant difference. In addition, who saw showed than (x̅=5.06), though (x̅= 5.55) impact interest. Conclusions Mobile apps web pages diverse may advance shared goals inclusive trials.

Язык: Английский

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Developing innovative software solutions for effective energy management systems in industry

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2649 - 2669

Опубликована: Авг. 31, 2024

The increasing demand for energy efficiency and sustainability in the industrial sector has spurred development of innovative software solutions effective management systems (EMS). This review explores key advancements applications these enhancing practices. Modern EMS leverages cutting-edge technologies such as artificial intelligence (AI), machine learning, Internet Things (IoT) to optimize consumption, reduce operational costs, minimize environmental impact. By integrating real-time data from various sensors devices, provide comprehensive insights into usage patterns, enabling industries identify inefficiencies implement corrective measures promptly. AI-driven predictive analytics play a crucial role forecasting optimizing distribution across processes. Machine learning algorithms analyze historical predict peak periods, allowing proactive load reducing risk wastage. Additionally, IoT-enabled devices facilitate seamless communication between different components infrastructure, ensuring accurate collection monitoring. One significant innovation is user-friendly interfaces dashboards that present complex an accessible format. These enable facility managers operators make informed decisions quickly, their ability manage consumption efficiently. Moreover, advanced offer automated control features adjust dynamically based on predefined parameters conditions, further streamlining Case studies industries, manufacturing, logistics, centers, demonstrate tangible benefits implementing software. include reductions improved regulatory compliance, enhanced performance. For instance, manufacturing plant utilizing AI-powered reported 15% decrease within first year implementation, highlighting potential substantial savings. In conclusion, developing aiming achieve goals. harnessing power AI, IoT, actionable insights, automate control, promote sustainable Continued research this field will enhance capabilities software, driving progress toward more energy-efficient sector. Keywords: Industry, Software Solutions, Innovative, Effective, Energy Management System.

Язык: Английский

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AI in personalized medicine: Enhancing drug efficacy and reducing adverse effects

International Medical Science Research Journal, Год журнала: 2024, Номер 4(8), С. 806 - 833

Опубликована: Авг. 23, 2024

Artificial intelligence (AI) is transforming personalized medicine by enhancing drug efficacy and reducing adverse effects, promising a new era of precision healthcare. This paper explores the role AI in revolutionizing therapies tailoring treatments to individual patient profiles, thereby optimizing therapeutic outcomes minimizing risks. leverages vast amounts medical data, including genetic information, electronic health records (EHRs), real-time monitoring create comprehensive profiles. Machine learning algorithms analyze these profiles identify patterns correlations that might not be apparent human practitioners. enables development treatment plans consider patient's unique makeup, lifestyle, existing conditions. One critical applications pharmacogenomics, which studies how genes affect person’s response drugs. can variations influence metabolism, efficacy, toxicity, allowing healthcare providers predict medications dosages will most effective for patients. reduces trial-and-error approach traditionally used prescribing medications, incidence reactions (ADRs). also plays significant repurposing development. By analyzing data outcomes, uses potential side effects before clinical trials, accelerating process costs. Moreover, AI-driven predictive analytics continuously monitor responses treatment, adjusting maintain optimal levels. particularly beneficial managing chronic conditions such as diabetes, hypertension, cancer, where maintaining correct dosage crucial disease management. Despite its promise, integration faces challenges, privacy concerns, need robust regulatory frameworks, ensuring equitable access innovations. Addressing challenges requires collaborative efforts from providers, researchers, policymakers, technology developers. In conclusion, at forefront medicine, Continued advancements technologies supportive policies realizing full ultimately leading more safer solutions. Keywords: AI, Drug Efficacy, Personalized Medicine, Enhancing, Reducing Adverse Effect.

Язык: Английский

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AI and big data analytics for enhancing public health surveillance in rural communities

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(8), С. 1797 - 1823

Опубликована: Авг. 21, 2024

Artificial intelligence (AI) and big data analytics have emerged as powerful tools in enhancing public health surveillance, particularly rural communities where traditional monitoring methods face significant challenges. These technologies offer the potential to transform how is collected, analyzed, utilized, enabling more effective timely responses threats. Rural often struggle with limited healthcare infrastructure, making it difficult monitor respond issues effectively. AI can bridge this gap by providing advanced capabilities for real-time collection analysis. algorithms process vast amounts of from various sources, including electronic records, mobile applications, social media, environmental sensors. This enables identification patterns trends that may indicate emerging threats, such outbreaks infectious diseases or increases chronic conditions. Big allows integration analysis diverse datasets, a comprehensive view areas. holistic approach officials identify high-risk populations, track spread diseases, evaluate effectiveness interventions. For instance, AI-powered predictive models forecast disease based on historical current trends, allowing proactive measures mitigate impact. Moreover, these enhance accuracy efficiency surveillance. automate processing tasks, reducing time resources required manual authorities quickly improving overall outcomes communities. Additionally, aid identifying correlations between factors issues, insights inform policies Despite benefits, implementing surveillance faces several Data privacy security concerns must be addressed ensure confidentiality information. Furthermore, areas lack technological infrastructure expertise needed fully leverage technologies. Overcoming challenges requires investment training professionals, development user-friendly applications tailored needs In conclusion, hold promise By leveraging technologies, improve detection, monitoring, response ultimately leading better populations. Keywords: AI, Analytics, Public Health, Surveillance, Communities.

Язык: Английский

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