Towards a Secure Web-Based Smart Homes

Al-Syouf, Raghad; Al-Duwairi, Basheer; Shatnawi, Ahmad S.

doi:10.1109/icics52457.2021.9464563

Cited by 4 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are multiple studies available where authors have proposed fog computing architecture for data confidentiality, authentication and enhanced security [63]- [66]. Al-Syouf et al [67] has proposed a smart home system based on fog computing that helps prevent or limit DDoS SYN flooding attacks through 3-way handshake with webserver, and a query tokenization technique to detect SQL injection attacks. The author has also proposed fog layer with hash-based security system to prevent theft of sensitive data.…”

Section: A Fog Computing For Smart Homementioning

confidence: 99%

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

Ghani,

Bakar Sajak,

Qureshi

et al. 2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

The Internet of Things (IoT) has become an integral part of our daily lives, growing exponentially from a facility to a necessity. IoT has been utilized extensively through cloud computing and has proven an excellent technology for deploying in various fields. The data generated by the IoT devices gets transmitted to the cloud for processing and storage. However, with this approach, there are specific issues like latency, energy, computation resources availability, bandwidth, heterogeneity, storage, and network failure. To overcome these obstacles, fog computing is utilized as a middle tier. Fog computing gathers and processes the generated data closer to the user end before transmitting it to the cloud. This paper aims to conduct a structured review of the current state of fog computing and its architectures deployed across multiple industries. This paper also focuses on the implementation and critical parameters for introducing fog computing in IoT-cloud architecture. A detailed comparative analysis has been carried out for 5 different architectures considering various crucial parameters to identify how the quality of service and quality of experience for end users can be optimized. Finally, this paper looks at the multiple challenges that fog computing faces in a structured six-level approach. These challenges will also lead the way for future research in resource management, green computing, and security.

show abstract

Section: A Fog Computing For Smart Homementioning

confidence: 99%

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

Ghani,

Bakar Sajak,

Qureshi

et al. 2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…However, the technical advance comes with a major user security and privacy concerns. Al-Syouf et al suggest for a secure smart home design that incorporates aspects such as the cloud, secure fog, and powerful firewall mechanisms (Al-Syouf, 2021). Mrabet et al provides an in-depth examination of IoT/NB-IoT Layered architecture, emphasising the need of multilayered security (Mrabet, 2020).…”

Section: Introductionmentioning

confidence: 99%

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Magara,

Zhou

2024

Mitteilungen Klosterneuburg

View full text Add to dashboard Cite

The emergence of Internet of Things (IoT) technologies marks a transformative phase in home automation, promising enhanced convenience and efficiency. These technologies offer a multitude of applications that can greatly enhance daily living experiences. With IoT, users gain the ability to remotely manage household devices, control appliances from afar, and receive automated alerts in case of anomalies. However, despite the potential benefits, concerns surrounding security and privacy hinder widespread trust and adoption of these applications. Addressing these concerns is paramount for the broader acceptance and deployment of IoT technologies in smart homes. Various solutions have been proposed to tackle security and privacy issues, yet significant challenges persist, impeding widespread adoption. A user-centric approach emerges as a promising avenue to mitigate many of these challenges. By prioritizing user needs and preferences, it becomes possible to tailor security and privacy measures effectively while supporting diverse IoT applications. We evaluated the proposed IoT smart home adoption model using SMART-PLS version (4.0.9.6), The results show that the proposed relationships are statistically significant (R2 = 0.762). Our research sheds light on the crucial security and privacy considerations within the IoT smart home domain, offering valuable insights into the factors influencing user adoption decisions. This contribution advances the discourse surrounding IoT technology adoption and lays the groundwork for future research and policy initiatives in the dynamic landscape of smart homes.

show abstract

Fortifying home IoT security: A framework for comprehensive examination of vulnerabilities and intrusion detection strategies for smart cities

Bhardwaj,

Bharany,

Abulfaraj

et al. 2024

Egyptian Informatics Journal

View full text Add to dashboard Cite

Towards a Secure Web-Based Smart Homes

Cited by 4 publications

References 13 publications

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

A Review of Fog Computing Concept, Architecture, Application, Parameters and Challenges

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Fortifying home IoT security: A framework for comprehensive examination of vulnerabilities and intrusion detection strategies for smart cities

Contact Info

Product

Resources

About