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Future Horizons: AI-Enhanced Threat Detection in Cloud Environments: Unveiling Opportunities for Research Haroon Arif; Aashesh Kumar; Muhammad Fahad; Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 1 (2024): International Journal of Multidisciplinary Sciences and Arts, Article January 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i2.3452

Abstract

In this extensive and comprehensive review paper, we delve into the dynamic landscape of artificial intelligence (AI)-enhanced threat detection within cloud environments. The evolution of this field, from traditional methodologies to the seamless integration of AI, is meticulously explored, providing a nuanced understanding of the transformative potential of AI in bolstering cyber security measures. The exploration encompasses a myriad of crucial aspects, offering readers a holistic view of the subject. The revolutionary impact of AI is scrutinized, emphasizing its role in reshaping the conventional paradigms of threat detection and response. The paper meticulously addresses current challenges in cloud security, providing insights into the multifaceted nature of contemporary threats and how AI serves as a robust defense mechanism. As we navigate through the intricacies of this field, the review paper sheds light on ongoing research prospects, presenting a roadmap for future endeavors. Real-world case studies are examined to illustrate the practical applications of AI-enhanced threat detection, offering valuable lessons and perspectives for decision-makers, researchers, and practitioners in the realm of cyber security. Ethical considerations are given due attention, as the integration of AI in threat detection raises important questions surrounding privacy, bias, and accountability. By analyzing current trajectories and emerging technologies, the article provides readers with a forward-looking perspective, helping them anticipate the evolving landscape of cyber security. In addition to exploring the technological facets, the paper emphasizes the importance of a collaborative approach and ongoing adaptation. The interconnected nature of threats in the digital realm necessitates a collective effort from industry experts, researchers, and policymakers. The review paper advocates for a holistic strategy that integrates AI technologies with human expertise to create a resilient defense against the ever-evolving landscape of cyber threats.
Synergizing AI and Healthcare: Pioneering Advances in Cancer Medicine for Personalized Treatment Abdul Mannan Khan Sherani; Murad Khan; Muhammad Umer Qayyum; Hafiz Khawar Hussain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 2 (2024): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i01.3562

Abstract

This paper investigates how Artificial Intelligence (AI) is changing the field of cancer medicine. It is organized into nine major sections that illustrate the profound effects of AI on different aspects of cancer care. Starting from the early phases of the disease, AI shows how it can transform conventional diagnostic methods by providing quick and accurate analyses of medical imaging, pathology slides, and genetic data. The paper then goes into the era of personalized cancer therapies, highlighting the ways in which AI helps to customize treatment based on individual genetic and molecular profiles. Finally, the paper discusses the smart revolution in healthcare, which is driven by AI integration, highlighting the impact of AI on diagnosis precision, treatment optimization, and resource allocation. Moreover, the story delves into how AI is being incorporated into healthcare outside of diagnosis and treatment, including areas like predictive modeling, ongoing monitoring, and after-treatment care. AI has the capacity to revolutionize cancer medicine by improving current practices and fostering innovation in clinical research, diagnosis modalities, and treatment planning. The paper highlights the revolutionary boundaries that AI has created, including liquid biopsies, virtual tumor boards, and the speeding up of drug discovery processes. The narrative weaves a thorough overview of AI's transformative journey in cancer care, offering insights into its current impact and the promising possibilities that lie ahead.