Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions

B Bhushan, C Sahoo, P Sinha, A Khamparia - Wireless Networks, 2021 - Springer
Abstract The Internet of Things (IoTs) enables coupling of digital and physical objects using
worthy communication technologies and introduces a future vision where computing …

A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision

M Pundir, JK Sandhu - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …

Secure deep learning in defense in deep-learning-as-a-service computing systems in digital twins

Z Lv, D Chen, B Cao, H Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
While Digital Twins (DTs) bring convenience to city managers, they also generate new
challenges to city network security. Currently, cyberspace security becomes increasingly …

Machine learning for advanced wireless sensor networks: A review

T Kim, LF Vecchietti, K Choi, S Lee… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things

K Haseeb, IU Din, A Almogren, I Ahmed… - Sustainable Cities and …, 2021 - Elsevier
Abstract Internet of Things (IoT) consists of a huge number of sensors along with physical
things to gather and forward data intelligently. Green IoT applications based on Wireless …

Intrusion detection system in wireless sensor network using conditional generative adversarial network

T Sood, S Prakash, S Sharma, A Singh… - Wireless Personal …, 2022 - Springer
Wireless communication networks have much data to sense, process, and transmit. It tends
to develop a security mechanism to care for these needs for such modern-day systems. An …

Energy consumption prediction using machine learning; a review

A Mosavi, A Bahmani - 2019 - preprints.org
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Network intrusion detection based on conditional Wasserstein generative adversarial network and cost-sensitive stacked autoencoder

G Zhang, X Wang, R Li, Y Song, J He, J Lai - IEEE access, 2020 - ieeexplore.ieee.org
In the field of intrusion detection, there is often a problem of data imbalance, and more and
more unknown types of attacks make detection difficult. To resolve above issues, this article …

A secure energy aware meta-heuristic routing protocol (SEAMHR) for sustainable IoT-wireless sensor network (WSN)

GV Gurram, NC Shariff, RL Biradar - Theoretical Computer Science, 2022 - Elsevier
Abstract WSNs (Wireless Sensor Networks) have attracted interest because of ease of
maintenance, scalability, and self-configurations. WSNs encompass many tiny SNs (sensor …

Multi-agent reinforcement-learning-based time-slotted channel hopping medium access control scheduling scheme

H Park, H Kim, ST Kim, P Mah - IEEE Access, 2020 - ieeexplore.ieee.org
Time-slotted channel hopping (TSCH) is a medium access control technology that realizes
collision-free wireless network communication by coordinating the media access time and …