Research on Architecture of Smart Home Networks and Service Platform

2014 ◽  
Author(s):  
Xiaowei Xu ◽  
Ye Tao ◽  
Xiaodong Wang ◽  
Xiangqian Ding
Keyword(s):  
Smart Home ◽  
Home Networks ◽  
Service Platform

scholarly journals Supporting Asymmetric Transmission for Full-Duplex Smart-Home Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 34807-34822
Author(s):  
Zhijie Ma ◽  
Li Feng ◽  
Zhimin Wang
Keyword(s):  
Smart Home ◽  
Full Duplex ◽  
Home Networks ◽  
Asymmetric Transmission

The Design and Realization of Network Remote Control Based on ARM9 and VC6

2014 ◽  
Vol 539 ◽  
pp. 581-584
Author(s):  
Qin Ma
Keyword(s):  
Remote Control ◽  
Smart Home ◽  
Control Method ◽  
Design Method ◽  
Mobile Telephone ◽  
Short Message ◽  
Home Networks ◽  
Embedded Gateway ◽  
Software And Hardware ◽  
Test Result

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.

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

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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