Activity recognition is a popular research area with a number of applications, particularly in
the smart home environment. The unique features of smart home sensors have challenged …

The common use of smart devices encourages potential attackers to violate privacy.
Sometimes taking control of one device allows the attacker to obtain secret data (such as …

This paper reviews the problem of instrusion detection for Smart Home and different
approach to detect instrusion. A hybrid instrusion detection method based on Convolutional …

We present PuLP, a parallel and memory-efficient graph partitioning method specifically
designed to partition low-diameter networks with skewed degree distributions. Graph …

Despite the rapid advancements in consumer electronics, the data transmitted by sensing
devices in a smart home environment are still vulnerable to anomalies due to node faults …

Aiming at an issue of regional limitation of controlling and monitoring in home appliances, a
remote controlling and monitoring system of home appliances is designed, whose core MCU …

With the help of sensor-enabled devices, we are able to achieve many tasks without human
intervention. The sensor enabled internet of things has made our lives simple. But at the …

First of all, we would like to express our gratitude to the publisher Taylor & Francis for giving
us full support in the timely completion of this book. We also thank all the authors for their …

Wireless Sensor Network (WSN) is an indispensable component of pervasive computing.
Mobile agents are used for several applications in WSNs such as data fusion, localization, re …

Attackers rapidly change their attacks to evade detection. Even the most sophisticated
Intrusion Detection Systems that are based on artificial intelligence and advanced data …