Federated Learning (FL) is a revolutionary privacy-preserving distributed learning framework that allows a small group of users to cooperatively build a machine-learning model using their own data locally. Smart cities are areas that can generate high volume and critical data, which has the potential to revolutionize federated learning. Nevertheless, it is highly challenging to select […]
The subject of inclusion and ethics in the field of Artificial Intelligence (AI) has been raised often in recent months. At an “AI for Good” online seminar organised yesterday by the Geneva-based International Telecommunications Union, panellists representing women and girls from several regions in the world discussed what it would take to make AI equitable. […]
Physical unclonable functions (PUF) are cryptographic primitives employed to generate true and intrinsic randomness which is critical for cryptographic and secure applications. Thus, the PUF output (response) has properties that can be utilized in building a true random number generator (TRNG) for security applications. The most popular PUF architectures are transistor-based and they focus on […]
Modular exponentiation is considered one of the most widely used, yet costly operations in public-key cryptography, especially for resource-constrained devices in a peer-to-peer networks such as net of IoT or sensor devices. However, it can be computed at a relatively low cost with the help of outsourcing. The first contribution of this paper is investigating […]
Physical unclonable functions (PUF) are cryptographic primitives employed to generate true and intrinsic randomness which is critical for cryptographic and secure applications. Thus, the PUF output (response) has properties that can be utilized in building a true random number generator (TRNG) for security applications. The most popular PUF architectures are transistor-based and they focus on […]
In today’s fast-paced society, the Internet of Things (IoT) is revolutionizing businesses by bridging the gap between the digital and physical realms. This transformative technology enables rapid changes in the way people conduct business. Its fundamental aim is to connect everything in our world—objects, individuals, locations, and processes—under a unified infrastructure, providing valuable information and […]
The healthcare ecosystem is migrating from legacy systems to the Internet of Things (IoT), resulting in a digital environment. This transformation has increased importance on demanding both secure and usable user authentication methods. Recently, a post-quantum fuzzy commitment scheme (PQFC) has been constructed as a reliable and efficient method of biometric template protection. This paper […]
The need for secret sharing using meaningful shadow images is an important method to protect the transmitted data that does not attract the attention of adversary, which has become obvious in the past few years. The recovery of the cover image without any distortion and security of the embedded secret string efficiently needs to be […]
Automatic Dependent Surveillance Broadcast (ADS-B) centrally contributes to aircraft traffic control in the US and Europe since 2020. ADS-B messages contain information about aircraft location and tracks to provide better real-time traceability of aircraft in space. However, the lack of security mechanisms will be an obstacle for trusting the ADS-B technology. Thus, countermeasures should be […]
The construction industry has long faced the challenge of introducing collaborative systems among multiple stakeholders. This challenge creates a high level of rigidity in terms of processing shared information related to different processes, robust holistic regulations, payment actualizations, and resource utilization across different nodes. The need for a digital platform to crossconnect all stakeholders is […]
