Design and Implementation of 10Gbps Software PPPoE Router for IoT Smart Home Network

2020 ◽  
Vol E103.B (4) ◽  
pp. 422-430
Author(s):  
Ping DU ◽  
Akihiro NAKAO ◽  
Satoshi MIKI ◽  
Makoto INOUE
Keyword(s):  
Smart Home ◽  
Home Network ◽  
Design And Implementation ◽  
Smart Home Network

An optimal slicing strategy for SDN based smart home network

2014 ◽  
Author(s):  
Shiwei Wang ◽  
Xiaoling Wu ◽  
Hainan Chen ◽  
Yanwen Wang ◽  
Daiping Li
Keyword(s):  
Smart Home ◽  
Home Network ◽  
Smart Home Network

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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