Faster Base64 Encoding and Decoding Using AVX2 Instructions

Muła, Wojciech; Lemire, Daniel

doi:10.1145/3132709

Cited by 20 publications

(13 citation statements)

References 14 publications

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“…The cropped picture is then encoded into a Base64 format [39], for simplicity, and then sent and saved to the server along with the SHA3-512 [40] After the key exchange is completed, the client side and server-side have both agree on the same fresh session key, the authentication can proceed. The user application takes the face image, the inputted password and 𝐼𝐷 𝑖 to create an encrypted authentication request using the session key and then sends the resulting request to the side.…”

Section: Registration Phasementioning

confidence: 99%

A RSA-Biometric Based User Authentication Scheme For Smart-Homes Using Smartphone

Bagha¹

2021

Preprint

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Internet of Things (IoT) is considered as one of the emerging leading technologies that allow the mainstreaming of smart homes and smart cities in the recent years, by creating a communication system for physical objects over the Internet. In a smart home (also called push-button home automation system), devices are not necessarily homogeneous in terms of topology, security protocols, computational power and communication. This nature of the devices causes some incompatibility with conventional authentication methods and the security requirements of IoT standards. This thesis proposes an RSA-Biometric based three-factor User Authentication Scheme for Smart-Homes using Smartphone (called RSA-B-ASH-S scheme). An informal security analysis of the proposed RSA-B-ASH-S scheme is provided, along with its performance evaluation in terms of computational time, storage requirements and communication overload. Furthermore, a formal analysis of the proposed RSA-B-ASH-S scheme using the Burrows-Abadi-Needham (BAN) Logic is described, showing that the proposed scheme achieves the forward secrecy property by utilizing a fresh encryption key for each session and it also satisfies the anonymity of the user by using a one-time token. A proof of concept of the proposed RSA-B-ASH-S scheme is also provided.

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Section: Registration Phasementioning

confidence: 99%

A RSA-Biometric Based User Authentication Scheme For Smart-Homes Using Smartphone

Bagha¹

2021

Preprint

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“…, 3, 2, 1, 0) and apply it to a 16-byte register. In practice, most SIMD instruction sets have a corresponding fast instructions (e.g., pshufb under x64 processors) and it has a broad range of applications [10,11,12,13,14,15]. Inoue et al also suggest using fast code paths for common sequences like ASCII strings.…”

Section: Related Workmentioning

confidence: 99%

Transcoding Billions of Unicode Characters per Second with SIMD Instructions

Lemire¹,

Muła²

2021

Preprint

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In software, text is often represented using Unicode formats (UTF-8 and UTF-16). We frequently have to convert text from one format to the other, a process called transcoding. Popular transcoding functions are slower than state-ofthe-art disks and networks. These transcoding functions make little use of the single-instruction-multiple-data (SIMD) instructions available on commodity processors. By designing transcoding algorithms for SIMD instructions, we multiply the speed of transcoding on current systems (x64 and ARM). To ensure reproducibility, we make our software freely available as an open source library.

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“…There has been much work on the acceleration of text content using SIMD instructions (e.g., base64 [14,15], JSON [11], XML [16], HTML [17], CVS [18]). We are not aware of any published work directly related to Unicode validation using SIMD instructions other than our own [11].…”

Section: Related Workmentioning

confidence: 99%