Title:
Sensor-cloud Architecture: a Security Taxonomy in Cloud-assisted Sensor Networks

Authors:
Zemenu Ketema, Baba Ahmad Mala, Gradwell Dzikanyanga, Romário Tomo, Jamilu Ibrahim Argungu, China

Abstract:

The integration of cloud computing with wireless sensor networks (WSN), known as Sensor-Cloud, has garnered significant attention for its application in fields such as healthcare, habitat monitoring, military surveillance, and disaster management. This fusion aims to overcome the inherent processing and storage limitations of sensor networks by leveraging the cloud's flexibility, scalability, and enhanced capacities. Despite these advantages, Sensor-Cloud systems face challenges including latency, dependability, load balancing, bandwidth constraints, resource optimization, and security vulnerabilities. Security concerns are paramount, as the architecture's integrity is threatened by potential attacks on sensor nodes, communication channels, and the cloud infrastructure. Although existing literature extensively explores these issues, a comprehensive analysis of security threats specific to Sensor-Cloud remains essential. This paper presents an in-depth examination of security challenges within Sensor-Cloud environments, proposing innovative solutions and developing taxonomies of security attacks from an architectural perspective. Through this analysis, the paper aims to fortify Sensor-Cloud architecture against diverse security threats, ensuring its robustness and reliability across various applications.

DOI: http://dx.doi.org/10.51505/ijaemr.2023.9204