School of Science & Technology (SST)

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    Fog Computing: A Comprehensive Review on Security Analysis, Attacks, and Future Prospects
    (Springer, 2026-03-16) Gola, Kamal Kumar; Arya, Shikha; Kanauzia, Rohit
    Fog computing, as an extension of cloud computing to corporate networks, facilitates communication between endpoint devices and data centers for processing, storing, and utilizing network services. With the increasing adoption of cloud storage by individuals and corporations, information security has become a growing concern. This diverse range of capabilities raises security issues related to data, reliability, privacy, and network communication. This paper extensively examines safety concerns and various techniques within fog computing designed to address these challenges. It introduces a technological taxonomy, categorizing fog security concerns and their solutions into three main areas: network service, data processing, and privacy. The study surveys current literature to identify security-focused research approaches and associated fog computing solutions, analyzing them from analytical and statistical perspectives. The document delves into server issues and explores the pros and cons of suggested cloud protection strategies. Drawing on the findings, the paper puts forward proposals to tackle fog computing security issues. Finally, it outlines future research directions aimed at the development, deployment, and maintenance of fog systems, taking into consideration existing challenges
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    Future Trends: AI And Cloud Innovations In Healthcare
    (Bentham Science, 2026) Bhatt, Ashutosh; Aggarwal, Ambika et al
    Amalgamation of AI & cloud computing brings a significant relevant change in healthcare, where they are providing assistance to the doctor by examining huge amounts of data in the medical discipline. This means with the help of these emerging technologies, experts can easily diagnose the disease in the early stage, provide better personalised cure plans, speed up the treatment, and the discovery of new drugs. Cloud computing is dedicated to keeping track of data securely with accuracy while sharing it with others. But, here it is important to focus on some issues like algorithm selection, authenticity, integrity, and security of the patients’ data. Despite these concerns, AI and cloud machinery can really boost healthcare and help to create a better future with more proactive and personalised care for a healthy population. The operations of medical research, managing all aspects of patient care, and delivering the results with accuracy are evolving right now. This chapter highlights the impact of AI & cloud tech in the coming years to identify their fruitful effect in healthcare. In the bigger picture, these technologies strive to achieve remarkable changes with improvement in areas like instant drug discovery, medical imaging, virtual assistance, accurate prediction in smart health, early diagnosis, treatment, and cure. The healthcare cloud system is much more committed to delivering a structure that gives cost-effective, secure, and shareable services in healthcare along with advanced disaster recovery plans using AI tools and techniques. The real revolution with amazing possibilities can occur with the help of AI & CC (Cloud Computing) if we can provide better ways to handle population health using precise public health strategies, data processing in real-time and executing the services like AI-as-a-service (AIaaS).