Mobile network security and privacy in WSN
Y Gao, H Ao, Z Feng, W Zhou, S Hu, W Tang - Procedia Computer Science, 2018 - Elsevier
This paper discuss the term threats, attacks and vulnerabilities in Wireless Sensor Networks
followed by a model that relates the three entities. Based on the model, a framework of …
followed by a model that relates the three entities. Based on the model, a framework of …
Data security and privacy functions in fog computing for healthcare 4.0
Sensors play an essential role in different applications such as medicine, manufacturing,
climate, smart transportation, and smart city. Wearable or implantable body sensors are …
climate, smart transportation, and smart city. Wearable or implantable body sensors are …
Communication power analysis of applying MQV key agreement scheme for wireless sensor network
QA Al-Haija, GF Manasra… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
In this paper, we are analyzing the amount of communication power consumed from
applying MQV key agreement protocol for wireless sensor network. The estimated power …
applying MQV key agreement protocol for wireless sensor network. The estimated power …
Implementing a lightweight Schmidt-Samoa cryptosystem (SSC) for sensory communications
QA Al-Haija, I Marouf, MM Asad… - International Journal on …, 2019 - sciendo.com
One of the remarkable issues that face wireless sensor networks (WSNs) nowadays is
security. WSNs should provide a way to transfer data securely particularly when employed …
security. WSNs should provide a way to transfer data securely particularly when employed …
Face recognition in digital documents with live image
The primary point of this undertaking is to take care of the issue of duplicating testaments we
are proposing a computerized authentication framework dependent on square chain …
are proposing a computerized authentication framework dependent on square chain …
Adaptive Image Compression Projection Based on Deep Neural Network
P Anil Naga Sai, P Naveen Kumar… - Advances in Power …, 2021 - Springer
Lossless image compression is particularly unique areas like healthcare imaging, remote
realizing, along with systematic imaging. An interesting predictor for lossless compression …
realizing, along with systematic imaging. An interesting predictor for lossless compression …
Comparative Analysis of GUI-Based Prediction of Parkinson Disease by Speech Using Machine Learning Approach
G Vasudha Reddy, G Deepika, A Jesudoss - Advances in Power Systems …, 2021 - Springer
Parkinson's ailment is the most predominant neurodegenerative issue influencing in excess
of 10 million individuals around the world. There is no single test that can be directed for …
of 10 million individuals around the world. There is no single test that can be directed for …