Blockchain leveraged decentralized IoT eHealth framework

Blockchain technologies recently emerging for eHealth, can facilitate a secure, decentral- ized and patient-driven, record management system. However, Blockchain technologies cannot accommodate the storage of data generated from IoT devices in remote patient management (RPM) settings as this application requires a fast consensus mechanism, care- ful management of keys and enhanced protocols for privacy. In this paper, we propose a Blockchain leveraged decentralized eHealth architecture which comprises three layers: (1) The Sensing layer –Body Area Sensor Networks include medical sensors typically on or in a patient body transmitting data to a smartphone. (2) The NEAR processing layer –Edge Networks consist of devices at one hop from data sensing IoT devices. (3) The FAR pro- cessing layer –Core Networks comprise Cloud or other high computing servers). A Patient Agent (PA) software replicated on the three layers processes medical data to ensure reli- able, secure and private communication. The PA executes a lightweight Blockchain consen- sus mechanism and utilizes a Blockchain leveraged task-offloading algorithm to ensure pa- tient’s privacy while outsourcing tasks. Performance analysis of the decentralized eHealth architecture has been conducted to demonstrate the feasibility of the system in the pro- cessing and storage of RPM data

A Survey of Lightweight Cryptosystems for Smart Home Devices

A Smart Home uses interconnected network technology to monitor the environment, control the various physical appliances, and communicate with each other in a close environment. A typical smart home is made up of a security system, intercommunication system, lighting system, and ventilation system.  Data security schemes for smart homes are ineffective due to inefficiency cryptosystems, high energy consumption, and low exchange security. Traditional cryptosystems are less-applicable because of their large block size, large key size, and complex rounds. This paper conducts a review of smart homes, and adopts Ultra-Sooner Lightweight Cryptography to secure home door. It provides extensive background of cryptography, forms of cryptography as associated issues and strengths, current trends, smart home door system design, and future works suggestions. Specifically, there are prospects of utilizing XORed lightweight cryptosystem for developing encryption and decryption algorithms in smart home devices. The Substitution Permutation Network, and Feistel Network cryptographic primitives were most advanced forms of cipher operations with security guarantees. Therefore, better security, memory and energy efficiency can be obtained with lightweight ciphers in smart home devices when compared to existing solutions. In the subsequent studies, a blockchain-based lightweight cryptography can be the next springboard in attaining the most advanced security for smart home systems and their appliances.     &nbsp

Security of Ubiquitous Computing Systems

The chapters in this open access book arise out of the EU Cost Action project Cryptacus, the objective of which was to improve and adapt existent cryptanalysis methodologies and tools to the ubiquitous computing framework. The cryptanalysis implemented lies along four axes: cryptographic models, cryptanalysis of building blocks, hardware and software security engineering, and security assessment of real-world systems. The authors are top-class researchers in security and cryptography, and the contributions are of value to researchers and practitioners in these domains. This book is open access under a CC BY license

A Multi-Factor Homomorphic Encryption based Method for Authenticated Access to IoT Devices

Authentication is the first defence mechanism in many electronic systems, including Internet of Things (IoT) applications, as it is essential for other security services such as intrusion detection. As existing authentication solutions proposed for IoT environments do not provide multi-level authentication assurance, particularly for device-to-device authentication scenarios, we recently proposed the M2I (Multi-Factor Multi-Level and Interaction based Authentication) framework to facilitate multi-factor authentication of devices in device-to-device and device-to-multiDevice interactions. In this paper, we extend the framework to address group authentication. Two Many-to-One (M2O) protocols are proposed, the Hybrid Group Authentication and Key Acquisition (HGAKA) protocol and the Hybrid Group Access (HGA) protocol. The protocols use a combination of symmetric and asymmetric cryptographic primitives to facilitate multifactor group authentication. The informal analysis and formal security verification show that the protocols satisfy the desirable security requirements and are secure against authentication attacks