scholarly journals A Secure Internet of Things Smart Home Network: Design and Configuration

2021 ◽  
Vol 11 (14) ◽  
pp. 6280
Author(s):  
Jinsuk Baek ◽  
Munene W. Kanampiu ◽  
Cheonshik Kim
Keyword(s):  
Network Design ◽  
Smart Home ◽  
Home Network ◽  
Secure Communications ◽  
Home Networks ◽  
Ip Address ◽  
Home Gateway ◽  
Extended Access ◽  
Significant Performance ◽  
Iot Devices

Many home IoT devices are joining IoT networks by gaining access to some home gateway that configures smart, multimedia, and home networks. To enable secure IoT-based home networking services, (1) an IoT network should be effectively designed and configured with a IoT server, (2) a messaging protocol is required to exchange information between the IoT server and IoT devices, and (3) the home gateway should monitor all safety aspects in both inbound and outbound traffic of the home network. However, not all home network users put in consideration the need for an adequate security posture. Instead, many users still rely on the minimum home network security by setting an easiest-to-guess password to restrict unauthorized access to their home gateway. In this paper, we propose a network design and configuration that enables secure IoT services with MQTT messaging protocol for home networks. With the proposed network design, a home network is interconnected to external networks through a home gateway. To separate the IoT-subnet from other parts of home network, the home gateway subdivides a home network into an inside-subnet and an IoT-subnet with a private IP address using subnet masking. The IoT server, located in the IoT-subnet can be implemented with either a general HTTP server or a security server that acts as an MQTT broker. The secure communications among network entities are governed by a home gateway operating a well-configured extended access control. The effectiveness of the proposed design and configuration is verified through a simulation by showing that it does not impose any significant performance degradation for reinforced security. We expect the proposed configuration to help facilitate interconnection among heterogeneous network entities.

scholarly journals A Secure and Scalable Smart Home Gateway to Bridge Technology Fragmentation

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3587
Author(s):  
Ezequiel Simeoni ◽  
Eugenio Gaeta ◽  
Rebeca I. García-Betances ◽  
Dave Raggett ◽  
Alejandro M. Medrano-Gil ◽  
...  
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Dynamic Configuration ◽  
Home Gateway ◽  
Security Authentication ◽  
Living Lab ◽  
Automation Systems ◽  
Authentication And Authorization ◽  
Iot Devices ◽  
Bridge Technology

Internet of Things (IoT) technologies are already playing an important role in our daily activities as we use them and rely on them to increase our abilities, connectivity, productivity and quality of life. However, there are still obstacles to achieving a unique interface able to transfer full control to users given the diversity of protocols, properties and specifications in the varied IoT ecosystem. Particularly for the case of home automation systems, there is a high degree of fragmentation that limits interoperability, increasing the complexity and costs of developments and holding back their real potential of positively impacting users. In this article, we propose implementing W3C’s Web of Things Standard supported by home automation ontologies, such as SAREF and UniversAAL, to deploy the Living Lab Gateway that allows users to consume all IoT devices from a smart home, including those physically wired and using KNX® technology. This work, developed under the framework of the EC funded Plan4Act project, includes relevant features such as security, authentication and authorization provision, dynamic configuration and injection of devices, and devices abstraction and mapping into ontologies. Its deployment is explained in two scenarios to show the achieved technology’s degree of integration, the code simplicity for developers and the system’s scalability: one consisted of external hardware interfacing with the smart home, and the other of the injection of a new sensing device. A test was executed providing metrics that indicate that the Living Lab Gateway is competitive in terms of response performance.

Research and Design of Smart Home System Based on ZigBee Technology

2013 ◽  
Vol 336-338 ◽  
pp. 327-331
Author(s):  
Zheng Lan Xie ◽  
Chuan Mei Wan ◽  
Li Zhang
Keyword(s):  
Energy Saving ◽  
Smart Home ◽  
Web Server ◽  
Home Network ◽  
Home Gateway ◽  
Zigbee Technology ◽  
Interactive Network ◽  
The Future ◽  
Embedded Web ◽  
Research And Design

Smart home system is the inevitable trend of home network in the future. In this article, it built one interior network of smart home system based on ZigBee technology, designed one Home gateway, and configured one embedded Web server Boa on the gateway to realize one interactive network inside and outside the smart home, to provide one solution forwidely adaptation and energy saving smart home system.

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 .

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

2018 ◽  
Vol 10 (12) ◽  
pp. 125 ◽  
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 firewalls 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 on going 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 sensors, Wi-Fi and Ethernet connections.

scholarly journals Forensik Internet Of Things pada Device Level berbasis Embedded System

2019 ◽  
Vol 6 (6) ◽  
pp. 703
Author(s):  
Eri Haryanto ◽  
Imam Riadi
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Smart Home ◽  
Forensic Analysis ◽  
Smart Device ◽  
Ip Address ◽  
Cloud Server ◽  
Iot Devices ◽  
Internet Networks ◽  
The Internet Of Things

<p>Perangkat Internet of Things (IoT) merupakan perangkat cerdas yang memiliki interkoneksi dengan jaringan internet global. Investigasi kasus yang menyangkut perangkat IoT akan menjadi tantangan tersendiri bagi investigator forensik. Keberagaman jenis perangkat dan teknologi akan memunculkan tantangan baru bagi investigator forensik. Dalam penelitian ini dititikberatkan forensik di level internal device perangkat IoT. Belum banyak bahkan belum penulis temukan penelitian sejenis yang fokus dalam analisis forensik perangkat IoT pada level device. Penelitian yang sudah dilakukan sebelumnya lebih banyak pada level jaringan dan level cloud server perangkat IoT. Pada penelitian ini dibangun environment perangkat IoT berupa prototype smart home sebagai media penelitian dan kajian tentang forensik level device. Pada penelitian ini digunakan analisis model forensik yang meliputi collection, examination, analysis, dan reporting dalam investigasi forensik untuk menemukan bukti digital. Penelitian ini berhasil mengungkap benar-benar ada serangan berupa injeksi malware terhadap perangkat IoT yang memiliki sistem operasi Raspbian, Fedberry dan Ubuntu Mate. Pengungkapan fakta kasus mengalami kesulitan pada perangkat IoT yang memiliki sistem operasi Kali Linux. Ditemukan 1 IP Address komputer penyerang yang diduga kuat menanamkan malware dan mengganggu sistem kerja perangkat IoT.</p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The Internet of Things (IoT) is an smart device that has interconnection with global internet networks. Investigating cases involving IoT devices will be a challenge for forensic investigators. The diversity of types of equipment and technology will create new challenges for forensic investigators. In this study focused on forensics at the IoT device's internal device level, there have not been many similar research that focuses on forensic analysis of IoT devices at the device level. Previous research has been done more at the network level and cloud level of IoT device's. In this study an IoT environment was built  a smart home prototype as a object for research and studies on forensic level devices. This study, using forensic model analysis which includes collection, examination, analysis, and reporting in finding digital evidence. This study successfully revealed that there was really an attack in the form of malware injection against IoT devices that have Raspbian, Fedberry and Ubuntu Mate operating systems. Disclosure of the fact that the case has difficulties with IoT devices that have the Kali Linux operating system. Found 1 IP Address of an attacker's computer that is allegedly strongly infusing malware and interfering with the work system of IoT devices.</em></p><p><em><strong><br /></strong></em></p>

Next Generation Home Network and Home Gateway Associated with Optical Access

2010 ◽  
pp. 294-314
Author(s):  
Tetsuya Yokotani
Keyword(s):  
High Performance ◽  
Home Network ◽  
Home Networks ◽  
Functional Requirements ◽  
Next Generation ◽  
Home Gateway ◽  
Qos Guarantee ◽  
Triple Play ◽  
Generation Network ◽  
Triple Play Services

As optical broadband access networks have been popularized, triple play services using IP technologies, such as Internet access, IP telephony, and IP video distributing services, have been also popularized. However, consumers expect new services for a more comfortable life. Especially, when QoS guarantee and high reliable services are provided in NGN (Next Generation Network) era, various home network services over NGN are deployed. For this purpose, the home gateway has been installed in consumer houses for the connection between access and home networks, and providing various services to consumers. Even though, the broadband router currently plays a role similar to the home gateway, this home gateway should comprehend functionalities of the broadband router, and should have additional features. The functional requirements of such home gateway have been discussed in standard bodies. That is, the next generation home gateway in NGN era generally should have four features as follows; High performance for IP processing, Compliance with the interface of carrier grade infrastructure including NGN, Flexible platform for various services, and Easy management and maintenance. This chapter describes the standardization of the home gateway and, proposes its evolution scenario the present to the future. Then, it also proposes these four requirements, and technologies to comply with features described above.

Software Defined Security Architecture for a Smart Home Networks Using Token Sharing Mechanism

2019 ◽  
Vol 12 ◽  
Author(s):  
Utkarsh Saxena ◽  
J.S Sodhi ◽  
Yaduveer Singh
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Smart Home ◽  
Home Network ◽  
Security Architecture ◽  
Home Networks ◽  
Internet Infrastructure ◽  
Common Task ◽  
The World ◽  
Smart Home Network

: Since the end of 2000, there are lot of revolutions occurs in the field of Internet of Things (IoT), that affect tremendously on the world internet infrastructure. Smart Home is a dwelling which incorporates the key electrical appliances of a home connected to each other in a network, so that it can be easily accessed through remote device. The complexity of a smart home lies in the fact that it comprises of many heterogeneous networks which works simultaneously in order to achieve common task. Since each and every network has some sort of vulnerability associated with it, the same lies with Smart home network. Each of the layers of a smart home architecture is associated with some vulnerability. These Vulnerability could be dangerous and can exploit the network if not properly handled. This Paper discussed a secure framework based on Token Sharing mechanism using Squid Authentication for Access Control in a Smart Home Networks.

Implementation of Smart Home Terminal Based on OpenWrt

2014 ◽  
Vol 519-520 ◽  
pp. 516-519 ◽  
Author(s):  
Feng Xie ◽  
Ming Hou Wu ◽  
Zhen Rong Zhang ◽  
Zhi Hui Ge
Keyword(s):  
Smart Home ◽  
Management Control ◽  
Home Network ◽  
Functional Tests ◽  
Shared Resources ◽  
Home Gateway ◽  
Intelligent Terminal ◽  
Control Functions ◽  
The Family

With the advances in technology and the quality of life, the family of the growing number and variety of terminals, a demand that automatic networking, shared resources, interconnected and mutual control and for users of home network is growing. This paper aims to design and implement an intelligent terminal with OpenWrt system based on Linux. The terminal is a gateway which has router management control functions, and load and run the compiled modules based on OpenWrt SDK in OpenWrt routing system. The intelligent terminal has completed a preliminary functional tests can be run in real network environments. The terminal will do as a prototype for future improvements and extensions of the home gateway.

scholarly journals Smart and secure home using IOT Simulations with Cisco Packet Tracer

2020 ◽  
pp. 88-93
Author(s):  
Ravi Ray Chaudhari ◽  
Krishna Kumar Joshi ◽  
Neelam Joshi ◽  
Manjit Kumar
Keyword(s):  
Programming Languages ◽  
Real Time ◽  
Smart Home ◽  
Electronic Devices ◽  
Smart Phone ◽  
Home Network ◽  
Gateway System ◽  
Different Types ◽  
Packet Tracer ◽  
Iot Devices

This is an era of technology; we are surrounded with the technology. Now a day’s people become smarter they want to operate each and everything’s with his smart phone/laptop/pc without going anywhere, it happens due to IOT devices. That’s why in this paper we have design a smart home with enhance security. In smart home we can operate the household things(fan, light, ac, any applications, door, windows, etc. )with the mobile. We design a IOT based smart and secure home model in latest released cisco packet tracer. Cisco packet is basically a simulator to teach the student about the network. But in newly released cisco packet tracer 7.2.1 it have more sensors, board, Programming languages, IOE devices. In this we can design, test, see the actual working of the network/model in real time. In testing the IoT home network wireless network gateway system, multiple electronic devices can be controlled and monitored via smartphone based on predefined configuration conditions. The smart and secure home is implemented using different types of IOE devices with enhanced security, house environment prospective and safety.

scholarly journals ForChaos: Real Time Application DDoS Detection Using Forecasting and Chaos Theory in Smart Home IoT Network

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Andria Procopiou ◽  
Nikos Komninos ◽  
Christos Douligeris
Keyword(s):  
Chaos Theory ◽  
Smart Home ◽  
Detection Algorithm ◽  
Home Networks ◽  
Ddos Attacks ◽  
Dos Attacks ◽  
Network Systems ◽  
Ddos Detection ◽  
Series Of Experiments ◽  
Iot Devices

Recently, D/DoS attacks have been launched by zombie IoT devices in smart home networks. They pose a great threat to network systems with Application Layer DDoS attacks being especially hard to detect due to their stealth and seemingly legitimacy. In this paper, we propose ForChaos, a lightweight detection algorithm for IoT devices, which is based on forecasting and chaos theory to identify flooding and DDoS attacks. For every time-series behaviour collected, a forecasting-technique prediction is generated, based on a number of features, and the error between the two values is calculated. In order to assess the error of the forecasting from the actual value, the Lyapunov exponent is used to detect potential malicious behaviour. In NS-3 we evaluate our detection algorithm through a series of experiments in flooding and slow-rate DDoS attacks. The results are presented and discussed in detail and compared with related studies, demonstrating its effectiveness and robustness.

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