A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest develo** fields in …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

A survey on smart grid technologies and applications

G Dileep - Renewable energy, 2020 - Elsevier
Abstract The Smart Grid is an advanced digital two-way power flow power system capable of
self-healing, adaptive, resilient and sustainable with foresight for prediction under different …

A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions

J Asharf, N Moustafa, H Khurshid, E Debie, W Haider… - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …

Smart grid metering networks: A survey on security, privacy and open research issues

P Kumar, Y Lin, G Bai, A Paverd… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Smart grid (SG) networks are newly upgraded networks of connected objects that greatly
improve reliability, efficiency, and sustainability of the traditional energy infrastructure. In this …

Smart grid technologies and applications

R Bayindir, I Colak, G Fulli, K Demirtas - Renewable and sustainable …, 2016 - Elsevier
Smart grid technologies can be defined as self-sufficient systems that can find solutions to
problems quickly in an available system that reduces the workforce and targets sustainable …

A practical privacy-preserving data aggregation (3PDA) scheme for smart grid

Y Liu, W Guo, CI Fan, L Chang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The real-time electricity consumption data can be used in value-added service such as big
data analysis, meanwhile the single user's privacy needs to be protected. How to balance …

Communication technologies for interoperable smart microgrids in urban energy community: A broad review of the state of the art, challenges, and research …

GP Reddy, YVP Kumar, MK Chakravarthi - Sensors, 2022 - mdpi.com
In modern urban energy communities, diverse natured loads (homes, schools, hospitals,
malls, etc.) are situated in the same locality and have self-electricity generation/management …

FPDP: Flexible privacy-preserving data publishing scheme for smart agriculture

J Song, Q Zhong, W Wang, C Su, Z Tan… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and 5th generation wireless network (5G) is
set to push the smart agriculture to the next level since the massive and real-time data can …

A dynamic membership data aggregation (DMDA) protocol for smart grid

J Song, Y Liu, J Shao, C Tang - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
In order to protect the privacy of individual data, meantime guaranteeing the utility of big
data, the privacy preserving data aggregation is widely researched, which is a feasible …