Improving Activity Prediction and Activity Scheduling in Smart Home Networks for Enhanced QoS

For solving the control problem of network remote control, introduce a design method of network remote control which can realize the remote control equipments by PC and mobile telephone short message,such as smart home electrical. The paper give the home networks model and describe the software and hardware design of embedded gateway and its control method to electrical equipments in detail.The test result indicates that the capability of this system is stable and dependable, and validates this scheme.

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A low complex spread spectrum scheme for ZigBee based smart home networks

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) ◽

10.1109/ccnc.2016.7444923 ◽

2016 ◽

Author(s):

Chatura Seneviratne ◽

Henry Leung

Keyword(s):

Spread Spectrum ◽

Smart Home ◽

Home Networks ◽

Low Complex

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Research on Architecture of Smart Home Networks and Service Platform

2014 5th International Conference on Digital Home ◽

10.1109/icdh.2014.51 ◽

2014 ◽

Cited By ~ 2

Author(s):

Xiaowei Xu ◽

Ye Tao ◽

Xiaodong Wang ◽

Xiangqian Ding

Keyword(s):

Smart Home ◽

Home Networks ◽

Service Platform

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"Network Sentiment" Framework to Improve Security and Privacy for Smart Home

10.20944/preprints201812.0219.v1 ◽

2018 ◽

Author(s):

Tommaso Pecorella ◽

Laura Pierucci ◽

Francesca Nizzi

Keyword(s):

Service Provider ◽

Smart Home ◽

Internet Service Provider ◽

Security And Privacy ◽

The Internet ◽

Home Network ◽

Security Level ◽

Home Networks ◽

Internet Service ◽

Smart Home Network

A Smart Home is characterized by the presence of a huge number of small, low power devices, along with more classical devices. According to the Internet of Things (IoT) paradigm, all of them are expected to be always connected to the Internet in order to provide enhanced services. In this scenario, an attacker can undermine both the network security and the user’s security/privacy. Traditional security measures are not sufficient, because they are too difficult to setup and are either too weak to effectively protect the user or too limiting for the new services effectiveness. The paper suggests to dynamically adapt the security level of the smart home network according to the user perceived risk level what we have called network sentiment analysis. The security level is not fixed, established by a central system (usually by the Internet Service Provider) but can be changed with the users cooperation. The security of the smart home network is improved by a distributed firewalling and Intrusion Detection Systems both to the smart home side as to the Internet Service Provider side. These two parts must cooperate and integrate their actions for reacting dynamically to new and ongoing threats. Moreover, the level of network sentiment detected can be propagate to nearby home networks (e.g. the smart home networks of the apartments inside a building) to increase/decrease their level of security, thus creating a true in-line Intrusion Prevention System (IPS). The paper also presents a test bed for Smart Home to detect and counteract to different attacks against the IoT devices,,Wi-Fi and Ethernet connections .

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Middleware-Based Distributed Data Acquisition and Control in Smart Home Networks

Advances in Intelligent and Soft Computing - Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science ◽

10.1007/978-3-642-28308-6_30 ◽

2012 ◽

pp. 219-226 ◽

Cited By ~ 1

Author(s):

Yaohui Wu ◽

Pengfei Shao

Keyword(s):

Data Acquisition ◽

Smart Home ◽

Distributed Data ◽

Home Networks ◽

And Control

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