Evolutionary hash functions for specific domains

Sáez, Yago; Estébanez, César; Quintana, David; Isasi, Pedro

doi:10.1016/j.asoc.2019.02.014

Cited by 17 publications

(5 citation statements)

References 16 publications

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“…Since the analyzed PUF responses are image-based responses, perceptual hash functions are used to convert the images into fixed-length digital outputs. The hash vectors or values are generated to identify unequivocally the original content [11], [42]. Therefore, the resultant image is subjected to a preprocessing stage, and the hash extraction results in a hash identifier that is saved on a database.…”

Section: A Authentication Methodologymentioning

confidence: 99%

Smart Optical Sensors for Internet of Things: Integration of Temperature Monitoring and Customized Security Physical Unclonable Functions

et al. 2022

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Section: A Authentication Methodologymentioning

confidence: 99%

Smart Optical Sensors for Internet of Things: Integration of Temperature Monitoring and Customized Security Physical Unclonable Functions

et al. 2022

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“…The resulting hash function performed 2.7 to 7 times faster and inserted 1.6% more keys than the state-ofthe-art for specific datasets. Saez et al [28] used the same GP algorithm as in their earlier work [11] but only changed the fitness function to collision rate to evolve a NC hash function called GP-Hash-AdHoc. They compared their results to the state-of-the-art, and for some datasets, they managed to improve upon collision rates.…”

Section: Related Workmentioning

confidence: 99%

Evolving Non-cryptographic Hash Functions Using Genetic Programming for High-speed Lookups in Network Security Applications

Hassan¹,

Sateesan²,

Vliegen³

et al. 2023

Lecture Notes in Computer Science

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Non-cryptographic (NC) hash functions are the core part of many networking and security applications such as traffic flow monitoring and deep packet inspection. For these applications, speed is more important than strong cryptographic properties. In Terabit Ethernet networks, the speed of the hash functions can have a significant impact on the overall performance of the system when it is required to process the packets at a line rate. Hence, improving the speed of hash functions can have a significant impact on the overall performance of such architectures. Designing a good hash function is a challenging task because of the highly non-linear and complex relationship between input and output variables. Techniques based on Evolutionary Computation (EC) excel in addressing such challenges. In this paper, we propose novel fast noncryptographic hash functions using genetic programming, and we call the resulting hash functions the GPNCH (Genetic Programming-based Non-Cryptographic Hash) family. We choose to employ avalanche metrics as a fitness function because the networking and security applications we consider require hash functions to be uniform and independent. We evaluate the performance of GPNCH functions on FPGA and compare the delay, throughput, and resource occupation with the state-of-the-art NC hash functions that satisfy the avalanche criteria. We show that GPNCH functions outperform the other algorithms in terms of latency, operating frequency, and throughput at the modest cost of hardware resources.

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“…The other attributes of contents, such as the name, size are also computed. The hash key of content is essential for assigning an index of content in the SBS cache [55][56][57]. When MS intends to upload content, the first step is to generate a hash key and another set of content attributes.…”

Section: Network Modelmentioning

confidence: 99%

Duplication elimination in cache-uplink transmission over B5G small cell network

Sufyan

Rehman

Salam

et al. 2021

J Wireless Com Network

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In this era of the digital world, data play a central role and are continuously challenging spectrum efficiency. With the introduction of enriched multimedia user-generated content, the challenges are even more aggravated. In this vein, uplink caching is considered as one of the promising solutions to effectively cater the user’s demands. One of the main challenges for uplink caching is duplication elimination. In this paper, a cache enabled uplink transmission with a duplication elimination scheme is proposed. The proposed scheme matches the mobile’s data to be uploaded with the cached contents both at mobile station (MS) and small base station (SBS). In contrast to existing techniques, the proposed scheme broadcasts the cached contents at an SBS to all the MSs under its footprint. This provides MS an opportunity to exploit the list of cached contents before uploading its data. A MS only uploads its data if it is not already cached at an SBS. This significantly reduces duplication before the real transmission takes place. Furthermore, the proposed technique reduces energy consumption in addition to improving spectral efficiency and network throughput. Besides, a higher caching hit ratio and lower caching miss ratio are also observed as compared to other schemes. The simulation results reveal that the proposed scheme saves 97% energy for SBS, whereas 96–100% energy is saved for MS on average.

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Evolutionary hash functions for specific domains

Cited by 17 publications

References 16 publications

Smart Optical Sensors for Internet of Things: Integration of Temperature Monitoring and Customized Security Physical Unclonable Functions

Smart Optical Sensors for Internet of Things: Integration of Temperature Monitoring and Customized Security Physical Unclonable Functions

Evolving Non-cryptographic Hash Functions Using Genetic Programming for High-speed Lookups in Network Security Applications

Duplication elimination in cache-uplink transmission over B5G small cell network

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