Advanced hashing algorithms (AHAs) are crucial for modern cryptography. They can ensure data integrity, security, and efficient data management. In this article, we explore key aspects of these algorithms, including their fundamental principles, diverse applications, and ongoing research challenges. We delve into the intricacies of cryptographic hash functions, highlighting … [Read more...] about Advanced hashing algorithms
Internet of Things
Privacy-preserving distributed learning: Techniques, applications, and future challenges
The rapid increase in data generated by connected devices has created a pressing need for privacy-preserving techniques in distributed learning. This article examines methods that enable collaborative machine learning (ML) while maintaining data security and user privacy. Key approaches such as federated learning (FL), differential privacy (DP), secure multiparty computation … [Read more...] about Privacy-preserving distributed learning: Techniques, applications, and future challenges
Artificial intelligence and Internet of Things for intelligent transportation systems
Abstract: Artificial intelligence (AI) and the Internet of things (IoT) are key technologies for intelligent transportation systems (ITSs). The fusion of these two important technologies is essential for ITSs, which can steer the future of mobility toward greater safety, efficiency, and sustainability. AI-driven analytics, coupled with real-time IoT sensor data, enable dynamic … [Read more...] about Artificial intelligence and Internet of Things for intelligent transportation systems
Rethinking traffic congestion in semiurban areas: Artificial intelligence and Internet of Things solutions for school zones and floods
Abstract: Traffic congestion in semiurban areas presents unique challenges due to limited road capacity, growing vehicle volumes, school zone peak demand, and environmental disruptions such as flooding. Traditional fixed-time traffic control systems often fail to adapt to dynamic traffic conditions, leading to prolonged delays, safety risks, and reduced mobility efficiency. … [Read more...] about Rethinking traffic congestion in semiurban areas: Artificial intelligence and Internet of Things solutions for school zones and floods
Challenges in simulation of digital twins: A review
The digitalization of manufacturing processes is on the rise, marking the development of Industry 4.0 and the emergence of smart factories. Digital twins (DTs), which are digital replicas of physical assets or processes, are being utilized to enhance business applications. In the manufacturing sector, DTs can be created for asset-specific production lines or even entire … [Read more...] about Challenges in simulation of digital twins: A review