The second paper, "Strategy for Reliable, Efficient and Secure IoT Using Artificial Intelligence", by Yusuf Alkali, Indira Routray and Pawan Whig, deals with Internet of Things (IoT)-one of the leading cutting-edge innovations-which has become an attractive field of research for the scientific community. It requires several system interconnections and device interactions with humans. In order to manage its data exchange and analysis, IoT needs a cloud computing environment; AI is needed at the same time via the Internet and cloud-based network of networks. These interconnected IoT systems can interact and share information with each other using their respective identifiers and embedded sensors on each device. We live in the age of big data, and it has become very important to easily and reliably interpret the captured big data. However, while AI is currently playing a substantial role in strengthening conventional safety, still there are significant challenges to cloud security and IoT computer networking. There are many security concerns that could be a danger to the community. In comparison, several of the IoT systems installed on a public network that is wirelessly accessible are now under persistent cyberattack. The authors suggest a hybrid identification paradigm as a response strategy that utilizes Machine Learning (ML) and AI to mitigate and combat IoT cyberattacks both at the host and network levels in cloud computing environments.

The third paper, "A Comprehensive Overview of DDoS Attacks in Cloud Computing Environment and Different Machine Learning Techniques", is by Sherwin Kati, Abhishek Ove, Bhavana Gotipamul, Mayur Kodche and Swati Jaiswal. As cloud computing usage gains popularity, the security vulnerabilities are also increasing. Cloud computing is affected by many types of attacks like account hijacking, data breaches, malicious insiders, human error, etc. The paper primarily focuses on Distributed Denial-of-Service (DDoS) attacks, a major security issue for a cloud system. By sending huge amounts of unusual traffic, a DDoS attack corrupts the resources and makes them inaccessible. DDoS attacks are designed to drain resources like main memory, CPU refining, processing space and network frequency, thus making them inaccessible to the customers. It is difficult to identify the difference between the attacker's requests and legitimate user requests in cloud systems at all stages, especially when the latter comes from a huge number of geographically dispersed workstations. The last paper, "Microsoft Azure's Leading Edge in Cloud Computing Services", by Mehedi Hassan, Darren Obazu, Klaudia Zmij, Kubanychbek Azhygulov and Sonika Sitaula, discusses Azure and its benefits in comparison to other rivals. Although Amazon Web Services (AWS) is the market leader as a cloud platform, it is not a top choice for all clients. Azure provides a range of cloud services, including computing, analysis, storage and networking. It offers tools that support a wide range of industries with compatibility and flexibility across technologies. Important aspects found to score over other cloud platforms are the capabilities of PaaS, compatibility of the net, the security it offers, and seamless cloud connectivity hybrid solutions. Azure's advantages over other cloud computing services are noted. Although AWS is a leading platform, Azure could be a better option because it provides a consistent platform that facilitates easy movement between the public cloud and on-premises. It also has other benefits like unmatched hybrid capabilities, easy learning, cost-efficiency, identity and access management, security offerings, scalability and ductility.