The “Droplet”: A new personal device to enable fog computing

Data backup is essential for disaster recovery. Current cloud-based solutions offer a secure infrastructure. However, there is no guarantee of data privacy while hosting the data on a single cloud. Another solution is using Multi-Cloud technologies. Although using multiple clouds to save smaller pieces of the data can enhance data privacy, it comes at the cost of the need for the edge device to manage different accounts and manage the communication with different clouds. These drawbacks made this technology rare to use technology. In this paper, we propose DropStore to provide an easy-to-use, highly secure, and reliable backup system using state-of-the-art Multi-Cloud and encryption techniques. DropStore adds an abstraction layer for the end-user to hide all system complexities using a locally hosted device, "the Droplet", that is fully managed by the user. Hence, the user does not rely on any untrusted third party. This was achieved using Fog Computing technology. The uniqueness of DropStore comes from the convergence of Multi-Cloud and Fog Computing principles. The system implementation is open-source and available online. Performance results show that the proposed system improves data protection in terms of reliability, security, and privacy preservation while maintaining a simple and easy interface with edge devices.

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“…The enabler of this unique architecture is the Droplet fog device [27]. Droplet is a personal Fog node.…”

Section: Dropstore Architecturementioning

confidence: 99%

“…The system was evaluated on two different setups. The first setup uses the original Droplet implementation [27] on a Raspberry Pi 3 Model B SBC [33]. It has a 1.2GHz 64bit quad-core ARMv8 CPU with 1GB RAM and 4 USB ports.…”

Section: B System Setupmentioning

confidence: 99%

DropStore: A Secure Backup System Using Multi-Cloud and Fog Computing

Maher

Nasr

2021

IEEE Access

Self Cite

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“…The proposed system provides low-latency content filtering security service. In [5], the authors proposed a Fog Computing (FC) device called "Droplet" that is used as a distributed server for social network applications like Friendica [6]. Abdurrahman et al [7] used FC on the Hajj social network that manages pilgrims' activities in the Hajj season.…”

Section: Introductionmentioning

confidence: 99%

Detecting Man-in-the-Middle Attack in Fog Computing for Social Media

Aliyu¹,

Sheltami²,

Mahmoud³

et al. 2021

Computers, Materials &Amp; Continua

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Fog computing (FC) is a networking paradigm where wireless devices known as fog nodes are placed at the edge of the network (close to the Internet of Things (IoT) devices). Fog nodes provide services in lieu of the cloud. Thus, improving the performance of the network and making it attractive to social media-based systems. Security issues are one of the most challenges encountered in FC. In this paper, we propose an anomalybased Intrusion Detection and Prevention System (IDPS) against Man-in-the-Middle (MITM) attack in the fog layer. The system uses special nodes known as Intrusion Detection System (IDS) nodes to detect intrusion in the network. They periodically monitor the behavior of the fog nodes in the network. Any deviation from normal network activity is categorized as malicious, and the suspected node is isolated. Exponentially Weighted Moving Average (EWMA) is added to the system to smooth out the noise that is typically found in social media communications. Our results (with 95% confidence) show that the accuracy of the proposed system increases from 80% to 95% after EWMA is added. Also, with EWMA, the proposed system can detect the intrusion from 0.25-0.5 s seconds faster than that without EWMA. However, it affects the latency of services provided by the fog nodes by at least 0.75-1.3 s. Finally, EWMA has not increased the energy overhead of the system, due to its lightweight.

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