A Framework for Intelligent and Secure Information and Communication Systems Using Emerging ICT Technologies

Abstract

Rapid advancement of Information and Communication Technology (ICT) has transformed the digital infrastructures to be connected, smart, and data-oriented. ICT settings of today generate vast quantities of various data produced by Internet of Things (IoT) equipment, business systems, cloud platforms, mobile networks, and distributed communication systems. Although new technologies, such as Artificial Intelligence (AI), to Machine Learning (ML), Big Data Analytics, Cloud Computing, and enhanced Cybersecurity approaches are demonstrating high improvements in automation and scalability, their application individually tends to result in disjointed structures, compatibility, and protection vulnerabilities. The study is a proposal of a structurally elaborated multi-layered scheme of smart safe Information and Communication Systems based on new ICT technologies. The architecture de-centralizes real-time data collection, predictive analytics using AI, encrypted forms of communication, anomaly detectors, and hybrid cloud orchestration together to create a single framework. The model proposed is centred on modularity, scalability, interoperability and inherent security characteristics to guarantee resilience to evolving cyber threats. Simulated distributed ICT datasets have been experimentally verified with significant performance improvement observed. They involve a 32 percent decrease in latency, a 34 percent increase in throughput and a 96.4 percent detection rate of anomalies. The frame can be used within the smart cities, healthcare systems, enterprise automation, and intelligent transportation systems. This paper provides a clear roadmap to future ICT architectures that can sustainably and securely transform the digital change.