Physical unclonable functions (PUFs) have emerged as a favorable hardware security primitive, they exploit the process variations to provide unique signatures or secret keys amidst other critical cryptographic applications. CMOS-based PUFs are the most popular type, they generate unique bit strings using process variations in semiconductor fabrication. However, most existing CMOS PUFs are found to […]
The rapid expansion of Internet of Things (IoT) technologies has revolutionized connectivity but has also exposed users to increased cyber threats. This study aims to enhance Intrusion Detection Systems (IDSs) for IoT networks by employing advanced machine learning (ML) techniques and addressing the challenge of dataset selection, moving beyond outdated standards such as KDD99 and […]
As society moves further into the digital age, emerging technologies offer new opportunities for growth and efficiency. However, such advances bring a significant increase in cybersecurity risks, requiring a fundamental shift in approach. This white paper explores the risks and opportunities associated with emerging technologies, presenting data-driven insights and recommendations for enhancing cyber resilience. The […]
Deep learning methods have significantly advanced profiling side-channel attacks. Finding the optimal set of hyperparameters for these models remains challenging. Effective hyperparameter optimization is crucial for training accurate neural networks. In this work, we introduce a novel hill climbing optimization algorithm that is specifically designed for deep learning in profiled side-channel analysis. This algorithm iteratively […]
The advance of digital technology is fundamentally transforming industries, economies and the values on which our societies are built.A new report from the World Economic Forum highlights the enormous opportunities emerging technologies offer, including artificial intelligence (AI), quantum computing, biotechnologies and the Internet of Things (IoT). Read the Article
As cryptographic implementations leak secret information through side-channel emissions, the Hamming weight (HW) leakage model is widely used in deep learning profiling side-channel analysis (SCA) attacks to expose the leaked model. However, imbalanced datasets often arise from the HW leakage model, increasing the attack complexity and limiting the performance of deep learning-based SCA attacks. Effective […]
Sensor clouds are formed by IP-enabled wireless sensors and Internet of Things devices that are used for sensing and actuation in commercial and industrial applications. Data collected by the sensors are consolidated by distributed cloud data consolidation (DCS) servers to be utilized as raw sensory information by applications running data analytics and actuation functions. Alternatively, […]
The integration of augmented reality (AR), virtual reality (VR) and extended reality (XR) throughout centralized and decentralized platforms is facilitating immersive experiences that offer boundless consumer and industry value across multiple sectors. As these frontiers continue to offer enhanced communication and connectivity, the future of the internet presents new avenues for global interaction and innovation. […]
Within the confines of this article, we delve deep into the integration of cloud connectivity and embedded boards to craft a state-of-the-art home automation system. This system serves as the cornerstone of a secure and intelligent home environment, championing the principles of IoT. It introduces an embedded system tailored for intelligent lighting, replete with user-friendly […]
This white paper, developed by the World Economic Forum in collaboration with the Financial Conduct Authority, offers guidance for businesses and regulators to ensure a collaborative and globally harmonized approach to quantum security. Quantum technologies have the potential to revolutionize financial services, improving computation, modelling and fraud detection. However, they also pose significant cybersecurity risks […]
