Privacy Concerns in Cloud Computing Addressed through Immersion-based Coding

Khái niệm cốt lõi

The author presents a synthesis framework using immersion-based coding to address privacy concerns in cloud computing, ensuring differential privacy without compromising data utility.

Tóm tắt

The content discusses the challenges of privacy in cloud computing and proposes a novel approach using immersion-based coding. By distorting data and algorithms, differential privacy is achieved without sacrificing utility. The proposed scheme offers strict privacy guarantees with fair computational costs. It addresses the loss of privacy due to information sharing in distributed control systems and cloud computing. The article explores the synergy of differential privacy and system immersion tools from control theory to design coding mechanisms for protecting private information. By embedding trajectories of the original algorithm into those of the target algorithm, the proposed scheme ensures data utility while preserving privacy. The use cases presented illustrate the performance of the developed tools in optimizing learning algorithms and nonlinear networked control systems.

Thống kê

Perturbation techniques reduce private data inference but lead to performance degradation.
Standard cryptographic methods encrypt data before sharing, vulnerable to insider attacks.
Homomorphic Encryption allows computations on encrypted data without decryption.
Reformulating algorithms for finite rings leads to performance degradation.

Trích dẫn

"The proposed scheme provides tools to co-design coding mechanisms that distort original data for differential privacy."
"The key idea is to design a higher-dimensional target algorithm that embeds all trajectories of the original algorithm."
"We show that our scheme provides strong probabilistic guarantees in terms of differential privacy."

Thông tin chi tiết chính được chắt lọc từ

Privacy in Cloud Computing through Immersion-based Coding

by Haleh Hayati... lúc arxiv.org 03-08-2024

https://arxiv.org/pdf/2403.04485.pdf

Yêu cầu sâu hơn

How can immersion-based coding be applied beyond cloud computing?

Immersion-based coding, as proposed in the context of privacy in cloud computing, can be extended to various other applications beyond just cloud computing. One potential application is in the field of secure communication systems. By embedding data and algorithms into higher-dimensional spaces using immersion techniques, it is possible to enhance the security and privacy of communication channels. This approach could be utilized in areas such as secure messaging platforms, encrypted email services, or even military communications where data privacy is crucial.
Another application could be in the realm of IoT (Internet of Things) devices. Immersion-based coding could help protect sensitive information transmitted between interconnected devices by distorting the data before transmission and ensuring that only authorized parties can decode and access the original information. This would add an extra layer of security to IoT networks, which are often vulnerable to cyber attacks due to their interconnected nature.
Furthermore, immersion-based coding could also find applications in healthcare systems for protecting patient data during remote consultations or telemedicine sessions. By encoding patient information using differential privacy techniques within immersive algorithms, healthcare providers can ensure that sensitive medical records remain confidential and secure while being accessed remotely.

What are potential counterarguments against using immersion-based coding for privacy?

One potential counterargument against using immersion-based coding for privacy is the complexity involved in implementing such a system. Designing high-dimensional target algorithms that embed all trajectories of the original algorithm may require significant computational resources and expertise. This complexity could pose challenges for organizations looking to adopt this approach without adequate technical capabilities or resources.
Additionally, there may be concerns about performance degradation when applying distortion mechanisms to data through encoding maps. The process of distorting data before transmission and then decoding it at the receiving end might introduce latency or errors that impact real-time applications or critical systems where speed and accuracy are paramount.
Moreover, critics might argue that immersion-based coding introduces a level of opacity into algorithms and processes that could hinder transparency and accountability. If users cannot easily understand how their data is being encoded or decoded within these complex systems, it may raise questions about trustworthiness and compliance with regulations regarding data protection.

How does perfect security relate to the proposed mechanism's approach?

Perfect security relates closely to the proposed mechanism's approach through its emphasis on randomness, unpredictability, and infinite key space utilization for encryption purposes.
In perfect secrecy terms related to Differential Privacy (DP), a perfectly secret mechanism ensures no leakage of information regardless of adjacent datasets provided as input.
The use of random stochastic processes like Laplace distributions helps achieve this perfect secrecy by introducing noise into both user data encoding maps (Π1) utility mapping functions (Π3).
By constantly changing keys (stochastic processes) with each iteration ,the system maintains an infinite-dimensional key space making it practically impossible for adversaries with unlimited resources/timeframes to decipher any patterns thus achieving perfect security levels similar those seen under one-time pad encryption schemes .