Dasta – Alternative Linear Layer for Rasta

Hebborn, Phil; Leander, Gregor

doi:10.46586/tosc.v2020.i3.46-86

Cited by 19 publications

(7 citation statements)

References 13 publications

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“…However PKE has higher ciphertext expansion and complexity than SKE. In this framework, low-depth symmetric key ciphers such as [204], [205], [206] can provide noticeable gains.…”

Section: He In Fog Computing For Iotmentioning

confidence: 99%

Survey on Fully Homomorphic Encryption, Theory, and Applications

Marcolla¹,

Sucasas²,

Manzano³

et al. 2023

Preprint

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This paper comprehensively addresses homomorphic encryption from both theoretical and practical perspectives. The paper delves into the mathematical foundations required to understand fully homomorphic encryption FHE. It consequently covers design fundamentals and security properties of FHE, and describes the main FHE schemes based on various mathematical problems. On a more practical level, the paper presents a view on privacy-preserving Machine Learning using homomorphic encryption, then surveys FHE at length from an engineering angle, covering the potential application of FHE in fog computing, and cloud computing services. It also provides a comprehensive analysis of existing state-of-the-art FHE libraries and tools, implemented in software and hardware, and the performance thereof.

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“…However PKE has higher ciphertext expansion and complexity than SKE. In this framework, low-depth symmetric key ciphers such as [204], [205], [206] can provide noticeable gains.…”

Section: He In Fog Computing For Iotmentioning

confidence: 99%

Survey on Fully Homomorphic Encryption, Theory, and Applications

Marcolla¹,

Sucasas²,

Manzano³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…However PKE has higher ciphertext expansion and complexity than SKE. In this framework, low-depth symmetric key ciphers such as [227], [228], [229] can provide noticeable gains. Fog computing is not limited to the Smart City scenario.…”

Section: He In Fog Computing For Iotmentioning

confidence: 99%

Survey on Fully Homomorphic Encryption, Theory, and Applications

Marcolla¹,

Sucasas²,

Manzano³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…However, AES was not a good suitor for building HHE schemes, mainly due to its large multiplicative depth. Thus, research on the field of HHE took a new turn where the main focus has been shifted to the design of symmetric ciphers with different optimization criteria, depending on the use-case each work addresses [20,5,16,22,32,29,23] -Different Approaches: Another emerging cryptographic primitive that can be used to outsource computations in a privacy-preserving is Functional Encryption (FE). In FE, each decryption key sk f is connected to a function f .…”

Section: Related Workmentioning

confidence: 99%

Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives

Bakas

Frimpong

Michalas

2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Homomorphic Encryption (HE) is a modern cryptographic technique that allows direct computations on encrypted data. While relatively new to the mainstream debate, HE has been a solid topic in research for decades. However, and despite the technological advances of the past years, HE's inefficiencies render it impractical for deployment in realistic scenarios. Hence research in the field is still in its initial phase. To overcome certain challenges and bring HE closer to a realization phase, researchers recently introduced the promising concept of Hybrid Homomorphic Encryption (HHE) -a primitive that combines symmetric cryptography with HE. Using HHE, users perform local data encryptions using a symmetric encryption scheme and then outsource them to the cloud. Upon reception, the cloud can transform the symmetrically encrypted data to homomorphic ciphertexts without decrypting them. Such an approach can be seen as an opportunity to build new, privacy-respecting cloud services, as the most expensive operations of HE can be moved to the cloud. In this work, we undertake the task of designing a secure cryptographic protocol based on HHE. In particular, we show how HHE can be used as the main building block of a protocol that allows an analyst to collect data from multiple sources and compute specific functions over them, in a privacy-preserving way. To the best of our knowledge, this is the first work that aims at demonstrating how HHE can be utilized in realistic scenarios, through the design of a secure protocol.

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Dasta – Alternative Linear Layer for Rasta

Cited by 19 publications

References 13 publications

Survey on Fully Homomorphic Encryption, Theory, and Applications

Survey on Fully Homomorphic Encryption, Theory, and Applications

Survey on Fully Homomorphic Encryption, Theory, and Applications

Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives

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