Improving Smart Home Security: Integrating Logical Sensing Into Smart Home

Jose, Arun Cyril; Malekian, Reza

doi:10.1109/jsen.2017.2705045

Cited by 108 publications

(32 citation statements)

References 36 publications

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“…Home automation is one of the major areas which came under the impact of emerging IoT paradigm [12]. Smart homes not only provide automation but save the energy consumption also [13]. The switching model, which is presented in this paper, can exceedingly enhance the performance and security of the smart home systems while providing the remote control to the owner of the house.…”

Section:  Home Automationmentioning

confidence: 98%

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Farjad¹

2019

EAI Endorsed Trans IoT

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INTRODUCTION: Over the past decade, a significant rise in the number of internet-connected devices was observed. The number of smart devices is continuously increasing. The expanding network of interconnected devices provided an impetus for rapid advancement in the domain of Internet-of-Things (IoT). IoT has recently become a centre of attraction for research community. The development of microprocessors and microcontrollers has supplemented advancement in IoT paradigm. The rapidly emerging paradigm of IoT is facing challenges which render significant impact on its performance and cost. OBJECTIVES: In this paper, a novel architecture based on Real-Time Database System (RTDBS) coupled with cloud functionalities is proposed for providing efficient and cost-effective IoT system. An efficient circuit design consisting of solid state technology has also been integrated with the proposed architecture for enhancing the feasibility of the model. METHODS: The proposed model leverages cloud-hosted RTDBS for developing IoT system. After an inspective analysis, the most appropriate RTDBS was selected. In this model, a User Interface (UI) is coupled with the selected RTDBS. The same RTDBS is connected with ESP8266 which is directly attached with switching circuit based on a proposed design. The UI is also retrofitted with the functionality of recognizing speech in both English and Urdu. After speech recognition, corresponding command is sent to RTDBS and RTDBS updates the relevant instance. The modification of state generates a signal that is sent to ESP8266, and ESP8266 triggers the switching circuit according the signal received from RTDBS. RESULTS: The proposed IoT system was implemented and tested for continuous switching transactions and it purported to be highly tolerant against the threat of malfunctioning which arises due to continuous switching operations. The implemented IoT system was subjected to voice commands both in English and Urdu, and it exhibited the quick responses. CONCLUSION: The results obtained from the scrutiny of implementation endorse the efficiency of proposed model.

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Section:  Home Automationmentioning

confidence: 98%

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Farjad¹

2019

EAI Endorsed Trans IoT

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“…modified simple network management protocol (SNMP), OpenFlow and our proposed scheme (OF-ANM scheme). Modified SNMP also known as 6LowPAN-SNMP [21] is the extended modification of SNMP, motivated to achieve the goals in RFC 4919 (which describes how LowPANs could benefit from IPv6 networking) [22,23] and RFC 4944 (which describes the frame format for IPv6 packet transmission and the method of forming IPv6 link-local addresses and stateless auto-configuration of addresses [24][25][26] on IEEE 802.15.4 networks). Modified SNMP aims to provide native communication [27][28][29] of SNMP messages on 6LowPAns, it is highly efficient with regard to resource usage and it is also fully compatible with the SNMP standard.…”

Section: System Setupmentioning

confidence: 99%

Software defined wireless sensor networks and efficient congestion control

et al. 2018

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To achieve greater performance in computing networks, a setup of critical computing aspects that ensures efficient network operation needs to be implemented. One of these computing aspects is quality of service (QoS). QoS capable of networking allows efficient control of traffic, especially for network critical data. However, to achieve this in wireless sensor networks (WSNs) is a serious challenge, since these technologies have computing limitations. It is even difficult to manage networking resources with ease in these types of technologies, due to their communication, processing and memory limitations. Even though this is the case with WSNs, they have been largely used in monitoring/detection systems, and by this proving their application importance. In this study, a resource-aware OpenFlow-based active network management QoS scheme that uses software defined networking (SDN) strategies is proposed and implemented to apply QoS requirements for managing traffic congestion in WSNs. This scheme uses SDN programmability strategies to apply network QoS requirements and perform traffic load balancing to ensure congestion control in software defined WSNs. The experimental results show that the developed scheme is able to provide congestion avoidance within the network. It also allows opportunities to implement flexible QoS requirements based on the system's traffic state.

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“…It contains an in-depth report of the main aspects of this area, such as the most common threats and good practices as well as a brief protocol analysis and security implications of using of cloud platform on smart homes. One step beyond is given from [7], in which the authors not only describe the main security and privacy threads, but introduce an algorithm to secure each situation. Finally, they test them in a real-environment with successful results.…”

Section: B Related Workmentioning

confidence: 99%

An overview of wireless IoT protocol security in the smart home domain

Marksteiner

Jiménez

Valiant

et al. 2017

2017 Internet of Things Business Models, Users, and Networks

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While the application of IoT in smart technologies becomes more and more proliferated, the pandemonium of its protocols becomes increasingly confusing. More seriously, severe security deficiencies of these protocols become evident, as timeto-market is a key factor, which satisfaction comes at the price of a less thorough security design and testing. This applies especially to the smart home domain, where the consumerdriven market demands quick and cheap solutions. This paper presents an overview of IoT application domains and discusses the most important wireless IoT protocols for smart home, which are KNX-RF, EnOcean, Zigbee, Z-Wave and Thread. Finally, it describes the security features of said protocols and compares them with each other, giving advice on whose protocols are more suitable for a secure smart home.

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Improving Smart Home Security: Integrating Logical Sensing Into Smart Home

Cited by 108 publications

References 36 publications

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

A Novel IoT Switching Model Based on Cloud-Centric RTDBS

Software defined wireless sensor networks and efficient congestion control

An overview of wireless IoT protocol security in the smart home domain

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