Security And Privacy Challenges For Internetofthings And Fog Computing Ximeng Liu by Ximeng Liu, Yang Yang, Raymond Kim‑kwang Choo, Huaqun Wang instant download after payment.

Internet-of-things(IoT) has been considered as a necessary part of our daily life with billions of IoT devices collecting data through wireless technology and can interoperate within the existing Internet infrastructure. The new fog computing paradigm allows storing and processing data at the network edge or anywhere along the cloud-to-endpoint continuum, and it also overcomes the limitations of IoT devices and allows us to design a far more capable architecture. Unfortunately, this new IoT-Fog paradigm faces many new security and privacy issues, such as secure communication, authentication and authorization, and information confidentiality.
Although the traditional cloud-based platform can even use heavyweight cryptosystem to enhance the security, it
cannot be performed on the resource-constrained fog devices directly. Moreover, millions of smart fog devices are wildly distributed and located in different areas, which increases the risk of being compromised by some malicious parties. 
To address these arising challenges and opportunitiesdifferent from traditional cloud-based architecture, all the papers chosen for this special issue represent recent progress in the field of security and privacy techniques relevant to the convergence of IoT with fog computing, including identity/attribute-based cryptography, system and soſtware security, system and resource optimization, user privacy preservation, and data protection. Overall, our international editorial committee selected 17 papers among 70 submissions from both the theoretical and the practical side. All of these papers in this special issue not only provide novel ideas and state-of-the-art techniques in the field of IoT-Fog computing but also stimulate future research in the IoT-Fog computing environment.