New technologies are constantly emerging in the modern world and changing the way we live our everyday lives. Although technology has many useful applications, there are various ways it can potentially be abused. Unmanned aerial vehicles (UAVs) are one of the most rapidly developing technologies, with potentially far-reaching consequences. A new focus on UAV applications has fueled rising concerns with regards to security, specifically around networked UAVs. UAVs may be managed from a remote place with relative ease. Essential operations involving the use of military tactics and weapons involve employing them in a variety of situations, such as reconnaissance, surveillance, and offensive, defensive, and civilian capacities. Message insertion, message manipulation, jamming, and GPS spoofing are the most commonly used cyber-attacks against these systems. Ensuring the security of electronics and communications in systems that employ several UAVs is of utmost importance to guarantee their safety and dependability in military and civilian activities. Many technological methods have been developed over the past decade for securing UAVs from cyber-attacks. This paper attempts to summaries the problems that can arise with unmanned aerial vehicles (UAVs), cyber-attacks, and the countermeasures used to protect against them. This is the first paper that details all of the past cyber-attacks on unmanned aerial vehicles (UAVs).

With the rapid growth of cloud computing, along with the recent development of video-based applications and social platforms, there is a need for cloud-based video frameworks. These frameworks employ scalable and economical methods for processing, storing, and delivering video content. The shift to the cloud for video services introduces many security concerns that can compromise the integrity, confidentiality, and availability of the video data they handle. Data breaches, unauthorized access, distributed denial of service (DDoS) attacks, vulnerabilities in encryption, and access control mechanisms are the main security challenges faced by cloud-based video frameworks, which this paper thoroughly reviews. This paper explores the challenges and discusses how they can affect both service providers and end users. The review also highlights state-of-the-art solutions presented in the literature and best practices to mitigate these threats. Some prominent solutions include encryption techniques, access control models, intrusion detection systems, and privacy-preserving algorithms. Additionally, the document addresses how advanced technologies like AI and blockchain can be used to enhance the security of cloud-based video services. This review compiles recent research and industry practices, providing a comprehensive overview of the current security posture and effective strategies for constructing a more secure cloud-based video framework in the future.

Artificial Intelligence (AI) has emerged as a transformative force across diverse domains, offering innovative solutions to some of the most pressing global challenges. This paper explores the integration of AI in fostering sustainable development through a multidisciplinary lens, highlighting its potential to address critical issues such as climate change, energy efficiency, healthcare, and education. By examining case studies and advanced AI applications, the study underscores the role of machine learning, natural language processing, and computer vision in achieving the United Nations Sustainable Development Goals (SDGs). Furthermore, it delves into the ethical, societal, and environmental implications of deploying AI-driven technologies, advocating for equitable and responsible AI frameworks. The paper concludes by presenting a roadmap for leveraging AI in sustainable development, fostering collaboration across scientific, technological, and policy domains.

This chapter examines the transformative impact of modern surveillance systems in healthcare, driven by advancements in AI, big data, and the Internet of Things (IoT). These technologies have expanded the scope of surveillance beyond traditional monitoring to include real-time disease tracking, enhanced patient monitoring, healthcare fraud detection, and improved security in healthcare environments. While these innovations offer significant benefits, they also introduce important ethical and privacy concerns. The chapter explores the balance between leveraging these technological advancements and protecting patient rights and data security, providing an overview of current trends and challenges, and offering best practices to maximize the potential of surveillance systems in healthcare.