Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Security analysis of IoT devices by using mobile computing: a systematic literature review
Internet of Things (IoT) devices are operating in various domains like healthcare
environment, smart cities, smart homes, transportation, and smart grid system. These …
environment, smart cities, smart homes, transportation, and smart grid system. These …
Machine learning approaches for sustainable cities using internet of things
As these tech-based cities continue to emerge, so do the experts dive deeper into the
research on the various Internet of Things methods, and the most plausible machine …
research on the various Internet of Things methods, and the most plausible machine …
Cyber threat predictive analytics for improving cyber supply chain security
Cyber Supply Chain (CSC) system is complex which involves different sub-systems
performing various tasks. Security in supply chain is challenging due to the inherent …
performing various tasks. Security in supply chain is challenging due to the inherent …
Appraisal of stakeholders' willingness to adopt construction 4.0 technologies for construction projects
TO Osunsanmi, CO Aigbavboa… - … Project and Asset …, 2020 - emerald.com
Purpose Construction 4.0 technology has the capabilities for improving the design,
management, operations and decision making of construction projects. Therefore, this study …
management, operations and decision making of construction projects. Therefore, this study …
[HTML][HTML] Security, trust and privacy risks, responses, and solutions for high-speed smart cities networks: A systematic literature review
High-speed networks are utilized to satisfy user demands by using cloud and edge services.
Due to the heterogeneous nature of these networks, security, trust, and privacy are the …
Due to the heterogeneous nature of these networks, security, trust, and privacy are the …
Systematic review on security and privacy requirements in edge computing: State of the art and future research opportunities
Edge computing is a promising paradigm that enhances the capabilities of cloud computing.
In order to continue patronizing the computing services, it is essential to conserve a good …
In order to continue patronizing the computing services, it is essential to conserve a good …
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks
S Rezvy, Y Luo, M Petridis, A Lasebae… - 2019 53rd Annual …, 2019 - ieeexplore.ieee.org
A Network Intrusion Detection System is a critical component of every internet-connected
system due to likely attacks from both external and internal sources. Such Security systems …
system due to likely attacks from both external and internal sources. Such Security systems …
A machine learning framework for investigating data breaches based on semantic analysis of adversary's attack patterns in threat intelligence repositories
With the ever increasing cases of cyber data breaches, the manual process of sifting through
tons of security logs to investigate cyber-attacks is error-prone and time-consuming …
tons of security logs to investigate cyber-attacks is error-prone and time-consuming …
The benefits of edge computing in healthcare, smart cities, and IoT
Recent advancements in technology now allow for the generation of massive quantities of
data. There is a growing need to transmit this data faster and more securely such that it …
data. There is a growing need to transmit this data faster and more securely such that it …