Cities have grown in development and sophistication throughout human history. Smart cities are the current incarnation of this process, with increased complexity and social importance. This complexity has come to involve significant digital components and has thus come to raise the associated cybersecurity concerns. Major security relevant events can cascade into the connected systems making up a smart city, causing significant disruption of function and economic damage. The present paper aims to survey the landscape of scientific publication related to cybersecurity-related issues in relation to smart cities. Relevant papers were selected based on the number of citations and the quality of the publishing journal as a proxy indicator for scientific relevance. Cybersecurity will be shown to be reflected in the selected literature as an extremely relevant concern in the operation of smart cities. Generally, cybersecurity is implemented in actual cities through the concerted application of both mature existing technologies and emerging new approaches.

The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated automation through structured workflows. However, critical tasks, such as incident resolution and problem management, still require significant human intervention. The adoption of development, security, and operations (DevSecOps) introduced standardized remediation playbooks, further enhancing automation. More recently, Generative AI (GenAI) has expanded automation possibilities, opening new avenues for hyper-automated IT operations. This study explored Agentic Artificial Intelligence for IT Operations (Agentic AIOps), an approach that integrates AI-driven agents to autonomously manage IT operations. Our methodology features a framework for designing and developing an Agentic AIOps system that proactively detects anomalies, classifies incidents, and autonomously executes resolution workflows across infrastructure, middleware, data, and applications in complex, heterogeneous Enterprise IT environments. Our findings suggest that such a system can significantly reduce incident response time, enhance predictive maintenance, and enable self-healing IT environments. By leveraging AI agents for real-time decision making, this approach enhances operational efficiency and reduces human workload. We conclude that this Agentic AIOps system represents a transformative step toward fully autonomous IT operations. We outline a framework for defining its architecture and planning its subsequent development, ensuring continuous evolution and adaptability in complex IT landscapes.

With the rapid increase in technology, the healthcare sector is approaching towards digital solutions for clinical evidence related to various diseases. This research paper provides a theoretical framework for a Clinical Decision Support System with the help of Software as Medical Device regime (CDS-SaMD). The proposed software model comprises layered architecture with each layer acquiring and processing data obtained through Electronic Health Record (EHR) in hospitals. The layers of the model involve sensors for measuring data, pre-processing, transmission to the cloud servers for storage, data reduction, feature extraction, and decision trees. The overall model assists doctors in deciding on diagnosis and treatment of diseases in an accurate and fast manner as compared to the conventional diagnostic procedures. The software is implemented in smartphones and is helpful in cities for diagnosis and treatment of chronic disease like heart attacks and hypertension. The proposed model will help in reducing the mortality due to chronic diseases and will improve facilities for patients’ care.

As mobile devices has become widely used, there is also an increasing economic interest in frameworks for service and product payment directly from mobile devices. Such a framework involves software applications running on the device itself. More importantly, the framework involves a flexible back-end in order to cover the wide range of possible transactions. The back end solution proposed in this paper consists in a generalized transaction engine which operates on abstract operations. The construction of the engine involves in the first stage the identification of the possible actors and operations which the system must support and in the second stage the formalization of a possible architecture for the engine itself.

Nowadays we encounter an increasing need for electronic services that spans all over the services' taxonomy. E-services ease access to processes and resources that have implied a lot of administrative burden in the past. One of the most bureaucratic and conservative service areas is the administrative field. Our paper focuses on the solutions that we have developed in order to achieve the interoperability goals for pan-European administrative services based on existing PSCs (Point of Single Contact) developed in each EU country. The solution is based on a common specification that defines a layer that integrates the European administrative services on top of the functionality of the existing PSCs. The paper focuses the document model, a issue that determines the interoperability degree of the system.