From Algorithms to Security: AI’s Impact on Data Networking Cyber Defense
Keywords:
Artificial Intelligence (AI), Cybersecurity, Anomaly Detection, Mitigation Processes, IoT Security
Abstract
The growing sophistication of cyber threats has necessitated a paradigm shift in how organizations approach data networking defenses. Traditional methods, often reactive and reliant on predefined threat signatures, have proven insufficient against the adaptive tactics of modern cybercriminals. In response, Artificial Intelligence (AI) has emerged as a transformative solution, offering the ability to automate threat detection, response, and mitigation processes. This study explores the impact of AI-powered algorithms on cybersecurity, focusing on their role in enhancing data networking defenses. By employing a qualitative and exploratory research design, the study examines real-world applications across industries such as healthcare, finance, and IoT, each of which faces unique cybersecurity challenges due to their reliance on interconnected systems and sensitive data.
Key findings reveal that AI systems outperform traditional methods with superior detection accuracy, achieving a rate of 95% compared to the 80% typically observed in conventional frameworks. AI’s capability to detect anomalies and previously unknown threats makes it a critical tool for modern cybersecurity. Additionally, these systems significantly reduce response times, mitigating threats 40% faster than manual or traditional methods. However, scalability challenges persist, especially in large and complex networks characterized by diverse traffic patterns and high data volumes. Statistical analyses, including t-tests and ANOVA, validate these findings, highlighting both the strengths and limitations of AI. While dependency on data quality and the focus on short-term performance are noted as constraints, the potential of AI to revolutionize cybersecurity remains clear. Addressing these challenges will be pivotal in unlocking new possibilities for securing data networks against increasingly sophisticated threats, providing a roadmap for future research and the optimization of AI-driven cybersecurity systems.
References
Ahmad, A., Tariq, A., Hussain, H. K., & Gill, A. Y. (2023). Equity and Artificial Intelligence in Surgical Care: A Comprehensive Review of Current Challenges and Promising Solutions. BULLET: Jurnal Multidisiplin Ilmu, 2(2), 443-455.
Ahmad, A., Tariq, A., Hussain, H. K., & Gill, A. Y. (2023). Revolutionizing Healthcare: How Deep Learning is poised to Change the Landscape of Medical Diagnosis and Treatment. Journal of Computer Networks, Architecture and High Performance Computing, 5(2), 458-471.
Arif, A., Khan, A., & Khan, M. I. (2024). Role of AI in Predicting and Mitigating Threats: A Comprehensive Review. JURIHUM: Jurnal Inovasi dan Humaniora, 2(3), 297-311.
Arif, A., Khan, M. I., & Khan, A. R. A. (2024). An overview of cyber threats generated by AI. International Journal of Multidisciplinary Sciences and Arts, 3(4), 67-76.
Arikhad, M., Waqar, M., Khan, A. H., & Rafi, A. H. (2024). Transforming Cardiovascular and Neurological Care with AI: A Paradigm Shift in Medicine. Revista de Inteligencia Artificial en Medicina, 15(1), 1264-1277.
Arikhad, M., Waqar, M., Khan, A. H., & Sultana, A. (2024). AI-Driven Innovations in Cardiac and Neurological Healthcare: Redefining Diagnosis and Treatment. Revista Espanola de Documentacion Cientifica, 19(2), 124-136.
Arikhad, M., Waqar, M., Khan, A. H., & Sultana, A. (2024). The Role of Artificial Intelligence in Advancing Heart and Brain Disease Management. Revista Espanola de Documentacion Cientifica, 19(2), 137-148.
Asif, M., Raza, Z. H., & Mahmood, T. (2023). Bioengineering Applications in Forestry: Enhancing Growth, Disease Resistance, and Climate Resilience. Revista Espanola de Documentacion Cientifica, 17(1), 62-88.
Asif, M., Raza, Z. H., & Mahmood, T. (2023). Harnessing Artificial Intelligence for Sustainable Forestry: Innovations in Monitoring, Management, and Conservation. Revista Espanola de Documentacion Cientifica, 17(2), 350-373.
Bhatia, A. K., Ju, J., Ziyang, Z., Ahmed, N., Rohra, A., & Waqar, M. (2021). Robust adaptive preview control design for autonomous carrier landing of F/A-18 aircraft. Aircraft Engineering and Aerospace Technology, 93(4), 642-650.
Bhatti, I., Rafi, H., & Rasool, S. (2024). Use of ICT Technologies for the Assistance of Disabled Migrants in USA. Revista Espanola de Documentacion Cientifica, 18(01), 66-99.
Bhatti, I., Tariq, M., Hayat, Y., Tariq, A., & Rasool, S. (2023). A Multimodal Affect Recognition Adaptive Learning System for Individuals with Intellectual Disabilities. European Journal of Science, Innovation and Technology, 3(6), 346-355.
Bhatti, I., Waqar, M., & Khan, A. H. (2024). The Role of AI-Driven Automation in Smart Cities: Enhancing Urban Living through Intelligent System. Multidisciplinary Journal of Instruction (MDJI), 7(1), 101-114.
Chowdhury, A. A. A., Rafi, A. H., Sultana, A., & Noman, A. A. (2024). Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States. Journal of Environmental and Energy Economics, 55-76.
Chowdhury, A. A. A., Sultana, A., Rafi, A. H., & Tariq, M. (2024). AI-Driven Predictive Analytics in Orthopedic Surgery Outcomes. Revista Espanola de Documentacion Cientifica, 19(2), 104-124.
Farhan, M., Rafi, H., & Rafiq, H. (2015). Dapoxetine treatment leads to attenuation of chronic unpredictable stress induced behavioral deficits in rats model of depression. Journal of Pharmacy and Nutrition Sciences, 5(4), 222-228.
Farhan, M., Rafi, H., & Rafiq, H. (2018). Behavioral evidence of neuropsychopharmacological effect of imipramine in animal model of unpredictable stress induced depression. International Journal of Biology and Biotechnology, 15(22), 213-221.
Farhan, M., Rafi, H., Rafiq, H., Siddiqui, F., Khan, R., & Anis, J. (2019). Study of mental illness in rat model of sodium azide induced oxidative stress. Journal of Pharmacy and Nutrition Sciences, 9(4), 213-221.
Farhan, M., Rafiq, H., & Rafi, H. (2015). Prevalence of depression in animal model of high fat diet induced obesity. Journal of Pharmacy and Nutrition Sciences, 5(3), 208-215.
Farhan, M., Rafiq, H., Rafi, H., Ali, R., & Jahan, S. (2019). Neuroprotective role of quercetin against neurotoxicity induced by lead acetate in male rats. Int. J. Biol. Biotech., 16(2), 291-298.
Farhan, M., Rafiq, H., Rafi, H., Rehman, S., & Arshad, M. (2022). Quercetin impact against psychological disturbances induced by fat rich diet. Pakistan Journal of Pharmaceutical Sciences, 35(5).
Farooq Mohi-U-din, S., Tariq, M., & Tariq, A. (2024). Deep Dive into Health: Harnessing AI and Deep Learning for Brain and Heart Care. International Journal of Advanced Engineering Technologies and Innovations, 1(4), 248-267.
Ghulam, T., Rafi, H., Khan, A., Gul, K., & Yusuf, M. Z. (2021). Impact of SARS-CoV-2 Treatment on Development of Sensorineural Hearing Loss: Impact of SARS-CoV-2 treatment on SNHL. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences, 58(S), 45-54.
Gill, A. Y., Saeed, A., Rasool, S., Husnain, A., & Hussain, H. K. (2023). Revolutionizing Healthcare: How Machine Learning is Transforming Patient Diagnoses-a Comprehensive Review of AI's Impact on Medical Diagnosis. Journal of World Science, 2(10), 1638-1652.
Hayat, Y., Tariq, M., Hussain, A., Tariq, A., & Rasool, S. (2024). A Review of Biosensors and Artificial Intelligence in Healthcare and Their Clinical Significance. International Research Journal of Economics and Management Studies IRJEMS, 3(1).
Husnain, A., Rasool, S., Saeed, A., Gill, A. Y., & Hussain, H. K. (2023). AI'S healing touch: examining machine learning's transformative effects on healthcare. Journal of World Science, 2(10), 1681-1695.
Hussain, H. K., Tariq, A., & Gill, A. Y. (2023). Role of AI in Cardiovascular Health Care; a Brief Overview. Journal of World Science, 2(4), 794-802.
Hussain, H. K., Tariq, A., Gill, A. Y., & Ahmad, A. (2022). Transforming Healthcare: The Rapid Rise of Artificial Intelligence Revolutionizing Healthcare Applications. BULLET: Jurnal Multidisiplin Ilmu, 1(02).
Khan, A. H., Zainab, H., Khan, R., & Hussain, H. K. (2024). Deep Learning in the Diagnosis and Management of Arrhythmias. Journal of Social Research, 4(1).
Khan, A. H., Zainab, H., Khan, R., & Hussain, H. K. (2024). Implications of AI on Cardiovascular Patients’ Routine Monitoring and Telemedicine. BULLET: Jurnal Multidisiplin Ilmu, 3(5), 621-637.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). AI-Driven Threat Detection: A Brief Overview of AI Techniques in Cybersecurity. BIN: Bulletin Of Informatics, 2(2), 248-261.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). AI's Revolutionary Role in Cyber Defense and Social Engineering. International Journal of Multidisciplinary Sciences and Arts, 3(4), 57-66.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). The Most Recent Advances and Uses of AI in Cybersecurity. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 566-578.
Khan, R., Zainab, H., Khan, A. H., & Hussain, H. K. (2024). Advances in Predictive Modeling: The Role of Artificial Intelligence in Monitoring Blood Lactate Levels Post-Cardiac Surgery. International Journal of Multidisciplinary Sciences and Arts, 3(4), 140-151.
Lodhi, S. K., Gill, A. Y., & Hussain, H. K. (2024). Green innovations: artificial intelligence and sustainable materials in production. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 492-507.
Lodhi, S. K., Gill, A. Y., & Hussain, I. (2024). 3D Printing Techniques: Transforming Manufacturing with Precision and Sustainability. International Journal of Multidisciplinary Sciences and Arts, 3(3), 129-138.
Lodhi, S. K., Hussain, H. K., & Gill, A. Y. (2024). Renewable Energy Technologies: Present Patterns and Upcoming Paths in Ecological Power Production. Global Journal of Universal Studies, 1(1), 108-131.
Lodhi, S. K., Hussain, I., & Gill, A. Y. (2024). Artificial intelligence: Pioneering the future of sustainable cutting tools in smart manufacturing. BIN: Bulletin of Informatics, 2(1), 147-162.
Mahmood, T., Asif, M., & Raza, Z. H. (2024). Smart Forestry: The Role of AI and Bioengineering in Revolutionizing Timber Production and Biodiversity Protection. Revista de Inteligencia Artificial en Medicina, 15(1), 1176-1202.
Rafi, A. H., Chowdhury, A. A. A., Sultana, A., & Noman, A. A. (2024). Unveiling the Role of Artificial Intelligence and Stock Market Growth in Achieving Carbon Neutrality in the United States: An ARDL Model Analysis. arXiv preprint arXiv:2412.16166.
Rafi, A. H., Sultana, A., Chowdhury, A. A. A., & Tariq, M. (2024). Artificial Intelligence for Early Diagnosis and Personalized Treatment in Gynecology. International Journal of Advanced Engineering Technologies and Innovations, 2(1), 286-306.
Rafi, H. (2024). Peer Review of “Establishment of a Novel Fetal Ovine Heart Cell Line by Spontaneous Cell Fusion: Experimental Study”. JMIRx Bio, 2(1), e63336.
Rafi, H., & Farhan, M. (2015). Dapoxetine: An Innovative Approach in Therapeutic Management in Animal Model of Depression. Pakistan Journal of Pharmaceutical Sciences, 2(1), 15-22.
Rafi, H., Ahmad, F., Anis, J., Khan, R., Rafiq, H., & Farhan, M. (2020). Comparative effectiveness of agmatine and choline treatment in rats with cognitive impairment induced by AlCl3 and forced swim stress. Current Clinical Pharmacology, 15(3), 251-264.
Rafi, H., Rafiq, H., & Farhan, M. (2021). Antagonization of monoamine reuptake transporters by agmatine improves anxiolytic and locomotive behaviors commensurate with fluoxetine and methylphenidate. Beni-Suef University Journal of Basic and Applied Sciences, 10, 1-14.
Rafi, H., Rafiq, H., & Farhan, M. (2021). Inhibition of NMDA receptors by agmatine is followed by GABA/glutamate balance in benzodiazepine withdrawal syndrome. Beni-Suef University Journal of Basic and Applied Sciences, 10, 1-13.
Rafi, H., Rafiq, H., & Farhan, M. (2023). Agmatine alleviates brain oxidative stress induced by sodium azide.
Rafi, H., Rafiq, H., & Farhan, M. (2024). Pharmacological profile of agmatine: An in-depth overview. Neuropeptides, 102429.
Rafi, H., Rafiq, H., Hanif, I., Rizwan, R., & Farhan, M. (2018). Chronic agmatine treatment modulates behavioral deficits induced by chronic unpredictable stress in wistar rats. Journal of Pharmaceutical and Biological Sciences, 6(3), 80.
Rafi, H., Rafiq, H., Khan, R., Ahmad, F., Anis, J., & Farhan, M. (2019). Neuroethological study of ALCL3 and chronic forced swim stress induced memory and cognitive deficits in albino rats. The Journal of Neurobehavioral Sciences, 6(2), 149-158.
Rafiq, H., Farhan, M., Rafi, H., Rehman, S., Arshad, M., & Shakeel, S. (2022). Inhibition of drug induced Parkinsonism by chronic supplementation of quercetin in haloperidol-treated wistars. Pak J Pharm Sci, 35, 1655-1662.
Rasool, S., Ali, M., Hussain, H. K., & Gill, A. Y. (2023). Unlocking the Potential of Healthcare: AI-Driven Development and Delivery of Vaccines. International Journal of Social, Humanities and Life Sciences, 1(1), 29-37.
Rasool, S., Ali, M., Shahroz, H. M., Hussain, H. K., & Gill, A. Y. (2024). Innovations in AI-Powered Healthcare: Transforming Cancer Treatment with Innovative Methods. BULLET: Jurnal Multidisiplin Ilmu, 3(1), 118-128.
Rasool, S., Husnain, A., Saeed, A., Gill, A. Y., & Hussain, H. K. (2023). Harnessing predictive power: exploring the crucial role of machine learning in early disease detection. JURIHUM: Jurnal Inovasi dan Humaniora, 1(2), 302-315.
Rasool, S., Tariq, A., & Hayat, Y. (2023). Maximizing Efficiency in Telemedicine: An IoT-Based Artificial Intelligence Optimization Framework for Health Analysis. European Journal of Science, Innovation and Technology, 3(6), 48-61.
Saeed, A., Husnain, A., Rasool, S., Gill, A. Y., & Amelia, A. (2023). Healthcare Revolution: How AI and Machine Learning Are Changing Medicine. Journal Research of Social Science, Economics, and Management, 3(3), 824-840.
Sultana, A. (2024, September). Enhancing Breast Cancer Image Analysis through Attention Mechanisms: A Comparative Study of U-Net and Attention U-Net Models. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-8). IEEE.
Sultana, A., Rafi, A. H., Chowdhury, A. A. A., & Tariq, M. (2023). Leveraging Artificial Intelligence in Neuroimaging for Enhanced Brain Health Diagnosis. Revista de Inteligencia Artificial en Medicina, 14(1), 1217-1235.
Sultana, A., Rafi, A. H., Chowdhury, A. A. A., & Tariq, M. (2023). AI in Neurology: Predictive Models for Early Detection of Cognitive Decline. Revista Espanola de Documentacion Cientifica, 17(2), 335-349.
Tariq, A., Gill, A. Y., & Hussain, H. K. (2023). Evaluating the potential of artificial intelligence in orthopedic surgery for value-based healthcare. International Journal of Multidisciplinary Sciences and Arts, 2(1), 27-35.
Tariq, A., Gill, A., Hussain, H. K., Jiwani, N., & Logeshwaran, J. (2023, December). The smart earlier prediction of conginental heart disease in pregnancy using deep learning model. In 2023 IEEE Technology & Engineering Management Conference-Asia Pacific (TEMSCON-ASPAC) (pp. 1-7). IEEE.
Tariq, M., Hayat, Y., Hussain, A., Tariq, A., & Rasool, S. (2024). Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intelligence (AI) Algorithms. International Research Journal of Economics and Management Studies IRJEMS, 3(1).
Waqar, M., Bhatti, I., & Khan, A. H. (2024). AI-Powered Automation: Revolutionizing Industrial Processes and Enhancing Operational Efficiency. Revista de Inteligencia Artificial en Medicina, 15(1), 1151-1175.
Waqar, M., Bhatti, I., & Khan, A. H. (2024). Leveraging Machine Learning Algorithms for Autonomous Robotics in Real-Time Operations. International Journal of Advanced Engineering Technologies and Innovations, 4(1), 1-24.
Waqar, M., Khan, A. H., & Bhatti, I. (2024). Artificial Intelligence in Automated Healthcare Diagnostics: Transforming Patient Care. Revista Espanola de Documentacion Cientifica, 19(2), 83-103.
Zainab, H., Khan, A. H., Khan, R., & Hussain, H. K. (2024). Integration of AI and Wearable Devices for Continuous Cardiac Health Monitoring. International Journal of Multidisciplinary Sciences and Arts, 3(4), 123-139.
Zuberi, S., Rafi, H., Hussain, A., & Hashmi, S. (2023). Role of Nrf2 in myocardial infarction and ischemia-reperfusion injury. Physiology, 38(S1), 5734743.
Ahmad, A., Tariq, A., Hussain, H. K., & Gill, A. Y. (2023). Revolutionizing Healthcare: How Deep Learning is poised to Change the Landscape of Medical Diagnosis and Treatment. Journal of Computer Networks, Architecture and High Performance Computing, 5(2), 458-471.
Arif, A., Khan, A., & Khan, M. I. (2024). Role of AI in Predicting and Mitigating Threats: A Comprehensive Review. JURIHUM: Jurnal Inovasi dan Humaniora, 2(3), 297-311.
Arif, A., Khan, M. I., & Khan, A. R. A. (2024). An overview of cyber threats generated by AI. International Journal of Multidisciplinary Sciences and Arts, 3(4), 67-76.
Arikhad, M., Waqar, M., Khan, A. H., & Rafi, A. H. (2024). Transforming Cardiovascular and Neurological Care with AI: A Paradigm Shift in Medicine. Revista de Inteligencia Artificial en Medicina, 15(1), 1264-1277.
Arikhad, M., Waqar, M., Khan, A. H., & Sultana, A. (2024). AI-Driven Innovations in Cardiac and Neurological Healthcare: Redefining Diagnosis and Treatment. Revista Espanola de Documentacion Cientifica, 19(2), 124-136.
Arikhad, M., Waqar, M., Khan, A. H., & Sultana, A. (2024). The Role of Artificial Intelligence in Advancing Heart and Brain Disease Management. Revista Espanola de Documentacion Cientifica, 19(2), 137-148.
Asif, M., Raza, Z. H., & Mahmood, T. (2023). Bioengineering Applications in Forestry: Enhancing Growth, Disease Resistance, and Climate Resilience. Revista Espanola de Documentacion Cientifica, 17(1), 62-88.
Asif, M., Raza, Z. H., & Mahmood, T. (2023). Harnessing Artificial Intelligence for Sustainable Forestry: Innovations in Monitoring, Management, and Conservation. Revista Espanola de Documentacion Cientifica, 17(2), 350-373.
Bhatia, A. K., Ju, J., Ziyang, Z., Ahmed, N., Rohra, A., & Waqar, M. (2021). Robust adaptive preview control design for autonomous carrier landing of F/A-18 aircraft. Aircraft Engineering and Aerospace Technology, 93(4), 642-650.
Bhatti, I., Rafi, H., & Rasool, S. (2024). Use of ICT Technologies for the Assistance of Disabled Migrants in USA. Revista Espanola de Documentacion Cientifica, 18(01), 66-99.
Bhatti, I., Tariq, M., Hayat, Y., Tariq, A., & Rasool, S. (2023). A Multimodal Affect Recognition Adaptive Learning System for Individuals with Intellectual Disabilities. European Journal of Science, Innovation and Technology, 3(6), 346-355.
Bhatti, I., Waqar, M., & Khan, A. H. (2024). The Role of AI-Driven Automation in Smart Cities: Enhancing Urban Living through Intelligent System. Multidisciplinary Journal of Instruction (MDJI), 7(1), 101-114.
Chowdhury, A. A. A., Rafi, A. H., Sultana, A., & Noman, A. A. (2024). Enhancing Green Economy with Artificial Intelligence: Role of Energy Use and FDI in the United States. Journal of Environmental and Energy Economics, 55-76.
Chowdhury, A. A. A., Sultana, A., Rafi, A. H., & Tariq, M. (2024). AI-Driven Predictive Analytics in Orthopedic Surgery Outcomes. Revista Espanola de Documentacion Cientifica, 19(2), 104-124.
Farhan, M., Rafi, H., & Rafiq, H. (2015). Dapoxetine treatment leads to attenuation of chronic unpredictable stress induced behavioral deficits in rats model of depression. Journal of Pharmacy and Nutrition Sciences, 5(4), 222-228.
Farhan, M., Rafi, H., & Rafiq, H. (2018). Behavioral evidence of neuropsychopharmacological effect of imipramine in animal model of unpredictable stress induced depression. International Journal of Biology and Biotechnology, 15(22), 213-221.
Farhan, M., Rafi, H., Rafiq, H., Siddiqui, F., Khan, R., & Anis, J. (2019). Study of mental illness in rat model of sodium azide induced oxidative stress. Journal of Pharmacy and Nutrition Sciences, 9(4), 213-221.
Farhan, M., Rafiq, H., & Rafi, H. (2015). Prevalence of depression in animal model of high fat diet induced obesity. Journal of Pharmacy and Nutrition Sciences, 5(3), 208-215.
Farhan, M., Rafiq, H., Rafi, H., Ali, R., & Jahan, S. (2019). Neuroprotective role of quercetin against neurotoxicity induced by lead acetate in male rats. Int. J. Biol. Biotech., 16(2), 291-298.
Farhan, M., Rafiq, H., Rafi, H., Rehman, S., & Arshad, M. (2022). Quercetin impact against psychological disturbances induced by fat rich diet. Pakistan Journal of Pharmaceutical Sciences, 35(5).
Farooq Mohi-U-din, S., Tariq, M., & Tariq, A. (2024). Deep Dive into Health: Harnessing AI and Deep Learning for Brain and Heart Care. International Journal of Advanced Engineering Technologies and Innovations, 1(4), 248-267.
Ghulam, T., Rafi, H., Khan, A., Gul, K., & Yusuf, M. Z. (2021). Impact of SARS-CoV-2 Treatment on Development of Sensorineural Hearing Loss: Impact of SARS-CoV-2 treatment on SNHL. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences, 58(S), 45-54.
Gill, A. Y., Saeed, A., Rasool, S., Husnain, A., & Hussain, H. K. (2023). Revolutionizing Healthcare: How Machine Learning is Transforming Patient Diagnoses-a Comprehensive Review of AI's Impact on Medical Diagnosis. Journal of World Science, 2(10), 1638-1652.
Hayat, Y., Tariq, M., Hussain, A., Tariq, A., & Rasool, S. (2024). A Review of Biosensors and Artificial Intelligence in Healthcare and Their Clinical Significance. International Research Journal of Economics and Management Studies IRJEMS, 3(1).
Husnain, A., Rasool, S., Saeed, A., Gill, A. Y., & Hussain, H. K. (2023). AI'S healing touch: examining machine learning's transformative effects on healthcare. Journal of World Science, 2(10), 1681-1695.
Hussain, H. K., Tariq, A., & Gill, A. Y. (2023). Role of AI in Cardiovascular Health Care; a Brief Overview. Journal of World Science, 2(4), 794-802.
Hussain, H. K., Tariq, A., Gill, A. Y., & Ahmad, A. (2022). Transforming Healthcare: The Rapid Rise of Artificial Intelligence Revolutionizing Healthcare Applications. BULLET: Jurnal Multidisiplin Ilmu, 1(02).
Khan, A. H., Zainab, H., Khan, R., & Hussain, H. K. (2024). Deep Learning in the Diagnosis and Management of Arrhythmias. Journal of Social Research, 4(1).
Khan, A. H., Zainab, H., Khan, R., & Hussain, H. K. (2024). Implications of AI on Cardiovascular Patients’ Routine Monitoring and Telemedicine. BULLET: Jurnal Multidisiplin Ilmu, 3(5), 621-637.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). AI-Driven Threat Detection: A Brief Overview of AI Techniques in Cybersecurity. BIN: Bulletin Of Informatics, 2(2), 248-261.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). AI's Revolutionary Role in Cyber Defense and Social Engineering. International Journal of Multidisciplinary Sciences and Arts, 3(4), 57-66.
Khan, M. I., Arif, A., & Khan, A. R. A. (2024). The Most Recent Advances and Uses of AI in Cybersecurity. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 566-578.
Khan, R., Zainab, H., Khan, A. H., & Hussain, H. K. (2024). Advances in Predictive Modeling: The Role of Artificial Intelligence in Monitoring Blood Lactate Levels Post-Cardiac Surgery. International Journal of Multidisciplinary Sciences and Arts, 3(4), 140-151.
Lodhi, S. K., Gill, A. Y., & Hussain, H. K. (2024). Green innovations: artificial intelligence and sustainable materials in production. BULLET: Jurnal Multidisiplin Ilmu, 3(4), 492-507.
Lodhi, S. K., Gill, A. Y., & Hussain, I. (2024). 3D Printing Techniques: Transforming Manufacturing with Precision and Sustainability. International Journal of Multidisciplinary Sciences and Arts, 3(3), 129-138.
Lodhi, S. K., Hussain, H. K., & Gill, A. Y. (2024). Renewable Energy Technologies: Present Patterns and Upcoming Paths in Ecological Power Production. Global Journal of Universal Studies, 1(1), 108-131.
Lodhi, S. K., Hussain, I., & Gill, A. Y. (2024). Artificial intelligence: Pioneering the future of sustainable cutting tools in smart manufacturing. BIN: Bulletin of Informatics, 2(1), 147-162.
Mahmood, T., Asif, M., & Raza, Z. H. (2024). Smart Forestry: The Role of AI and Bioengineering in Revolutionizing Timber Production and Biodiversity Protection. Revista de Inteligencia Artificial en Medicina, 15(1), 1176-1202.
Rafi, A. H., Chowdhury, A. A. A., Sultana, A., & Noman, A. A. (2024). Unveiling the Role of Artificial Intelligence and Stock Market Growth in Achieving Carbon Neutrality in the United States: An ARDL Model Analysis. arXiv preprint arXiv:2412.16166.
Rafi, A. H., Sultana, A., Chowdhury, A. A. A., & Tariq, M. (2024). Artificial Intelligence for Early Diagnosis and Personalized Treatment in Gynecology. International Journal of Advanced Engineering Technologies and Innovations, 2(1), 286-306.
Rafi, H. (2024). Peer Review of “Establishment of a Novel Fetal Ovine Heart Cell Line by Spontaneous Cell Fusion: Experimental Study”. JMIRx Bio, 2(1), e63336.
Rafi, H., & Farhan, M. (2015). Dapoxetine: An Innovative Approach in Therapeutic Management in Animal Model of Depression. Pakistan Journal of Pharmaceutical Sciences, 2(1), 15-22.
Rafi, H., Ahmad, F., Anis, J., Khan, R., Rafiq, H., & Farhan, M. (2020). Comparative effectiveness of agmatine and choline treatment in rats with cognitive impairment induced by AlCl3 and forced swim stress. Current Clinical Pharmacology, 15(3), 251-264.
Rafi, H., Rafiq, H., & Farhan, M. (2021). Antagonization of monoamine reuptake transporters by agmatine improves anxiolytic and locomotive behaviors commensurate with fluoxetine and methylphenidate. Beni-Suef University Journal of Basic and Applied Sciences, 10, 1-14.
Rafi, H., Rafiq, H., & Farhan, M. (2021). Inhibition of NMDA receptors by agmatine is followed by GABA/glutamate balance in benzodiazepine withdrawal syndrome. Beni-Suef University Journal of Basic and Applied Sciences, 10, 1-13.
Rafi, H., Rafiq, H., & Farhan, M. (2023). Agmatine alleviates brain oxidative stress induced by sodium azide.
Rafi, H., Rafiq, H., & Farhan, M. (2024). Pharmacological profile of agmatine: An in-depth overview. Neuropeptides, 102429.
Rafi, H., Rafiq, H., Hanif, I., Rizwan, R., & Farhan, M. (2018). Chronic agmatine treatment modulates behavioral deficits induced by chronic unpredictable stress in wistar rats. Journal of Pharmaceutical and Biological Sciences, 6(3), 80.
Rafi, H., Rafiq, H., Khan, R., Ahmad, F., Anis, J., & Farhan, M. (2019). Neuroethological study of ALCL3 and chronic forced swim stress induced memory and cognitive deficits in albino rats. The Journal of Neurobehavioral Sciences, 6(2), 149-158.
Rafiq, H., Farhan, M., Rafi, H., Rehman, S., Arshad, M., & Shakeel, S. (2022). Inhibition of drug induced Parkinsonism by chronic supplementation of quercetin in haloperidol-treated wistars. Pak J Pharm Sci, 35, 1655-1662.
Rasool, S., Ali, M., Hussain, H. K., & Gill, A. Y. (2023). Unlocking the Potential of Healthcare: AI-Driven Development and Delivery of Vaccines. International Journal of Social, Humanities and Life Sciences, 1(1), 29-37.
Rasool, S., Ali, M., Shahroz, H. M., Hussain, H. K., & Gill, A. Y. (2024). Innovations in AI-Powered Healthcare: Transforming Cancer Treatment with Innovative Methods. BULLET: Jurnal Multidisiplin Ilmu, 3(1), 118-128.
Rasool, S., Husnain, A., Saeed, A., Gill, A. Y., & Hussain, H. K. (2023). Harnessing predictive power: exploring the crucial role of machine learning in early disease detection. JURIHUM: Jurnal Inovasi dan Humaniora, 1(2), 302-315.
Rasool, S., Tariq, A., & Hayat, Y. (2023). Maximizing Efficiency in Telemedicine: An IoT-Based Artificial Intelligence Optimization Framework for Health Analysis. European Journal of Science, Innovation and Technology, 3(6), 48-61.
Saeed, A., Husnain, A., Rasool, S., Gill, A. Y., & Amelia, A. (2023). Healthcare Revolution: How AI and Machine Learning Are Changing Medicine. Journal Research of Social Science, Economics, and Management, 3(3), 824-840.
Sultana, A. (2024, September). Enhancing Breast Cancer Image Analysis through Attention Mechanisms: A Comparative Study of U-Net and Attention U-Net Models. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-8). IEEE.
Sultana, A., Rafi, A. H., Chowdhury, A. A. A., & Tariq, M. (2023). Leveraging Artificial Intelligence in Neuroimaging for Enhanced Brain Health Diagnosis. Revista de Inteligencia Artificial en Medicina, 14(1), 1217-1235.
Sultana, A., Rafi, A. H., Chowdhury, A. A. A., & Tariq, M. (2023). AI in Neurology: Predictive Models for Early Detection of Cognitive Decline. Revista Espanola de Documentacion Cientifica, 17(2), 335-349.
Tariq, A., Gill, A. Y., & Hussain, H. K. (2023). Evaluating the potential of artificial intelligence in orthopedic surgery for value-based healthcare. International Journal of Multidisciplinary Sciences and Arts, 2(1), 27-35.
Tariq, A., Gill, A., Hussain, H. K., Jiwani, N., & Logeshwaran, J. (2023, December). The smart earlier prediction of conginental heart disease in pregnancy using deep learning model. In 2023 IEEE Technology & Engineering Management Conference-Asia Pacific (TEMSCON-ASPAC) (pp. 1-7). IEEE.
Tariq, M., Hayat, Y., Hussain, A., Tariq, A., & Rasool, S. (2024). Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intelligence (AI) Algorithms. International Research Journal of Economics and Management Studies IRJEMS, 3(1).
Waqar, M., Bhatti, I., & Khan, A. H. (2024). AI-Powered Automation: Revolutionizing Industrial Processes and Enhancing Operational Efficiency. Revista de Inteligencia Artificial en Medicina, 15(1), 1151-1175.
Waqar, M., Bhatti, I., & Khan, A. H. (2024). Leveraging Machine Learning Algorithms for Autonomous Robotics in Real-Time Operations. International Journal of Advanced Engineering Technologies and Innovations, 4(1), 1-24.
Waqar, M., Khan, A. H., & Bhatti, I. (2024). Artificial Intelligence in Automated Healthcare Diagnostics: Transforming Patient Care. Revista Espanola de Documentacion Cientifica, 19(2), 83-103.
Zainab, H., Khan, A. H., Khan, R., & Hussain, H. K. (2024). Integration of AI and Wearable Devices for Continuous Cardiac Health Monitoring. International Journal of Multidisciplinary Sciences and Arts, 3(4), 123-139.
Zuberi, S., Rafi, H., Hussain, A., & Hashmi, S. (2023). Role of Nrf2 in myocardial infarction and ischemia-reperfusion injury. Physiology, 38(S1), 5734743.
Published
2025-01-02
How to Cite
Dandamudi, S. R. P., Sajja, J., & Khanna, A. (2025). From Algorithms to Security: AI’s Impact on Data Networking Cyber Defense. European Journal of Science, Innovation and Technology, 4(6), 67-80. Retrieved from https://ejsit-journal.com/index.php/ejsit/article/view/578
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Copyright (c) 2024 Sai Ratna Prasad Dandamudi, Jaideep Sajja, Amit Khanna
This work is licensed under a Creative Commons Attribution 4.0 International License.
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