Conference Presentations/Proceedings
Permanent URI for this collectionhttp://10.0.100.92:4000/handle/123456789/20
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Item Robust Detection of Evasive Fileless Powershell Malware: A Machine Learning Approach(2025 International Conference on Artificial intelligence and Emerging Technologies (ICAIET), Artificial intelligence and Emerging Technologies (ICAIET), 2025 International Conference on,20250828, IEEE Xplore Digital Library, 2025) Meher, Manish Kumar; Rath, Adyasha; Panda, Ganapati; Thanapati, Biswa Bhusana; Puthal, Deepak KumarIn the growing age of cybersecurity, the most obnoxious attack type is PowerShell-based fileless attacks. PowerShell provides the most favored environment to perform advanced tasks. This feature leads to its misuse, especially in the case of fileless attacks. The traditional methods uses signature based detection, are not able to identify the malware. Modern-day scripts are complex and obfuscated, which avoids detection. This paper proposed a machine learning (ML)-based model for malicious sample detection using feature analysis. It efficiently differentiates the benign and malicious samples with a considerable degree of accuracy. To enhance the detection further, the mutual information (MI) technique was applied to retrieve the most efficient and relevant features. This extensive experiment evaluation demonstrated that the proposed ML-based model achieved improved accuracy of 97.64 % and a robust performance.Item Does Water Stress Impact GDP Per Capita Growth in the Long Run: A Study of Highly Water-Stressed Nations Over the Period(Springer Proceedings in Business and Economics, Financial Markets, Climate Risk and Renewables, 2024-12-15) Sharma,Jyoti; Tiwari, Aviral KumarWater scarcity is becoming a bigger issue worldwide, and how we manage water has become a major concern for governments in many countries because it is important for economic growth and societal stability. The purpose of this study is to analyse the effects of water stress on the gross domestic product per capita growth (GDPpcg) of the 16 highly water-stressed countries belonging to the Middle East and Africa over the period of 2001–2020. The study utilizes panel data approaches/methods such as pooled, fixed effect (FE), and random effect (RE). The overall empirical findings indicate that water stress and population growth are negatively associated with GDPpcg in these highly water-stressed nations. The total water productivity and annual freshwater withdrawals (billion cubic meters) are positively associated with the GDPpcg in these highly water-stressed nations. Results support the impact of demographic profiles, such as age distribution having a positive effect on GDPpcg, whereas, in FE estimation, population density has a negative impact on GDPpcg. This study comprehensively analyses the multifaceted relationship between water stress and GDP per capita growth. Policymakers may consider prioritizing investments in water-efficient technologies, infrastructure development, and agricultural practices to mitigate the adverse effects of water stress on economic growth.Item Strategic Implications of AI in Contemporary Business and Society(IEEE, 2024-03) Kaushal,Sanjay; Mishra,DivyaThis study examines the significant impact of AI in several fields, such as fashion e-commerce, retail, marketing, hospitality, military applications, and digital marketing. The study conducts a thorough examination of the literature and discovers recurring patterns, including the widespread impact of AI in transforming industries, ethical concerns surrounding the implementation of AI, the challenges and possibilities in hyper-personalization, and the strategic implications of AI in many sectors. The increasing influence of AI in influencing customer experiences, optimizing business operations, and revolutionizing marketing strategies is clearly evident in several research. Transparency, adaptability, and the requirement for algorithms that can be explained are important considerations when dealing with the intricacies of integrating AI. The recommendations prioritize ongoing investment in AI literacy, clear transparency regarding data usage, and a flexible approach to customization to adapt to changing consumer preferences. The significance of interdisciplinary collaborations and robust frameworks is emphasized by ethical considerations in the deployment of AI, particularly regarding biases and concerns about privacy. This study provides significant insights for researchers, practitioners, and policymakers, navigating the ever-changing world of AI-driven advancements.