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Rfid Handbook Fundamentals And Applications In Contactless Smart Cards And Identification

Secure blockchain enabled Cyber–physical systems in healthcare using deep belief network with ResNet model

Computation offloading at mobile edge computing (MEC) servers can mitigate the resource limitation and reduce the communication latency for mobile devices Thereby, in this study, we proposed an offloading model for a multi-user MEC system with multi-task In addition, a new caching concept is introduced for the computation tasks, where the application program and related code for the completed tasks are cached at the edge server Furthermore, an efficient model of task offloading and caching integration is formulated as a nonlinear problem whose goal is to reduce the total overhead of time and energy However, solving these types of problems is computationally prohibitive, especially for large-scale of mobile users Thus, an equivalent form of reinforcement learning is created where the state spaces are defined based on all possible solutions and the actions are defined on the basis of movement between the different states Afterwards, two effective Q-learning and Deep-Q-Network-based algorithms are proposed to derive the near-optimal solution for this problem Finally, experimental evaluations verify that our proposed model can substantially minimize the mobile devices’ overhead by deploying computation offloading and task caching strategy reasonably

Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms

Technological advancements of urban informatics and vehicular intelligence have enabled connected smart vehicles as pervasive edge computing platforms for a plethora of powerful applications. However, varies types of smart vehicles with distinct capacities, diverse applications with different resource demands as well as unpredictive vehicular topology, pose significant challenges on realizing efficient edge computing services. To cope with these challenges, we incorporate digital twin technology and artificial intelligence into the design of a vehicular edge computing network. It centrally exploits potential edge service matching through evaluating cooperation gains in a mirrored edge computing system, while distributively scheduling computation task offloading and edge resource allocation in an multiagent deep reinforcement learning approach. We further propose a coordination graph driven vehicular task offloading scheme, which minimizes offloading costs through efficiently integrating service matching exploitation and intelligent offloading scheduling in both digital twin and physical networks. Numerical results based on real urban traffic datasets demonstrate the efficiency of our proposed schemes.

Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks

Internet of things and ransomware: Evolution, mitigation and prevention

Understanding of any computing environment requires familiarity with its underlying technologies. Internet of Things (IoT), being a new era of computing in the digital world, aims for the development of large number of smart devices that would support a variety of applications and services. These devices are resource‐constrained, and the services they would provide are going to impose specific requirements, among which security is the most prominent one. Therefore, in order to comprehend and conform these requirements, there is a need to illuminate the underlying architecture of IoT and its associated elements. This comprehensive survey focuses on the security architecture of IoT and provides a detailed taxonomy of major challenges associated with the field and the key technologies, including Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSN), that are enabling factors in the development of IoT. The paper also discusses some of the protocols suitable for IoT infrastructure and open source tools and platforms for its development. Finally, a brief outline of major open issues, along with their potential solutions and future research directions, is given.

An overview of Internet of Things (IoT): Architectural aspects, challenges, and protocols

An identity based access control and mutual authentication framework for distributed cloud computing services in IoT environment using smart cards

Deployment of smart card–based applications is becoming prevalent these days. Security of these applications depends upon the nature of underlying hardware and software platforms, cryptographic algorithms, along with a number of other security mechanisms. To develop a secure smart card–based application, preliminary evaluation of the security of embedded software as well as how that software will work in real time is required. Over the past few years, significant improvements have been made in smart card technology for its large‐scale acceptance. However, attackers are in continuous search for exploiting the unknown issues related to this technology. This survey discusses smart card technology in detail and provides a comprehensive taxonomy of security attacks on smart card–based applications and their countermeasures. In addition, it covers some of the open source tools available for its development. Finally, it provides a brief outline of some of the major open challenges and future research directions that are yet to be explored.

A taxonomy of various attacks on smart card–based applications and countermeasures

Future IoT-enabled threats and vulnerabilities: State of the art, challenges, and future prospects

Medical industry is entering the era of digital transformation through the introduction of emerging technologies resulting in the digitization of healthcare service provisioning. However, the underlying infrastructure once compromised, can lead to information stealth and destruction of the healthcare devices based on the control instructions provided by the attacker. In this regard, we propose an end-to-end framework for secure information sharing in smart healthcare applications against botnet-based cyber-attacks. We focus on different levels of protection involving storage and transmission of healthcare information. Moreover, we implement some of the related aspects of the proposed approach on Access Control Policy Testing (ACPT) tool to demonstrate its feasibility, and discuss state-of-the-art in the domain.

Megha Quamara

Papers

An overview of Internet of Things (IoT): Architectural aspects, challenges, and protocols

An identity based access control and mutual authentication framework for distributed cloud computing services in IoT environment using smart cards

A taxonomy of various attacks on smart card–based applications and countermeasures

Future IoT-enabled threats and vulnerabilities: State of the art, challenges, and future prospects

An End-to-End Security Framework for Smart Healthcare Information Sharing against Botnet-based Cyber-Attacks