Zobrazeno 1 - 10
of 1 267
pro vyhledávání: '"Menasche, P"'
This paper presents an approach to managing access to Content Delivery Networks (CDNs), focusing on combating the misuse of tokens through performance analysis and statistical access patterns. In particular, we explore the impact of token sharing on
Externí odkaz:
http://arxiv.org/abs/2410.05642
Autor:
Patel, Kajal, Shafiq, Zubair, Nogueira, Mateus, Menasché, Daniel Sadoc, Lovat, Enrico, Kashif, Taimur, Woiwood, Ashton, Martins, Matheus
Many organizations rely on Threat Intelligence (TI) feeds to assess the risk associated with security threats. Due to the volume and heterogeneity of data, it is prohibitive to manually analyze the threat information available in different loosely st
Externí odkaz:
http://arxiv.org/abs/2409.07709
Autor:
Eshwar, S. R., Felipe, Lucas Lopes, Reiffers-Masson, Alexandre, Menasché, Daniel Sadoc, Thoppe, Gugan
Load balancing and auto scaling are at the core of scalable, contemporary systems, addressing dynamic resource allocation and service rate adjustments in response to workload changes. This paper introduces a novel model and algorithms for tuning load
Externí odkaz:
http://arxiv.org/abs/2406.14141
Autor:
Xu, Zipeng, Shen, Yu-Feng, Naghibzadeh, S. Kiana, Peng, Xiaoyao, Muralikrishnan, Vivekanand, Maddali, Siddharth, Menasche, David, Krause, Amanda R., Dayal, Kaushik, Suter, Robert M., Rohrer, Gregory S.
High energy x-ray diffraction microscopy was used to image the microstructure of $\alpha$-Fe before and after a 600 $^\circ$C anneal. These data were used to determine the areas, curvatures, energies, and velocities of approximately 40,000 grain boun
Externí odkaz:
http://arxiv.org/abs/2311.11219
Similarity caching allows requests for an item to be served by a similar item. Applications include recommendation systems, multimedia retrieval, and machine learning. Recently, many similarity caching policies have been proposed, like SIM-LRU and RN
Externí odkaz:
http://arxiv.org/abs/2309.12149
Autor:
Moreno-Vera, Felipe, Nogueira, Mateus, Figueiredo, Cainã, Menasché, Daniel Sadoc, Bicudo, Miguel, Woiwood, Ashton, Lovat, Enrico, Kocheturov, Anton, de Aguiar, Leandro Pfleger
This paper proposes a machine learning-based approach for detecting the exploitation of vulnerabilities in the wild by monitoring underground hacking forums. The increasing volume of posts discussing exploitation in the wild calls for an automatic ap
Externí odkaz:
http://arxiv.org/abs/2308.02581
Indicators of Compromise (IOCs), such as IP addresses, file hashes, and domain names associated with known malware or attacks, are cornerstones of cybersecurity, serving to identify malicious activity on a network. In this work, we leverage real data
Externí odkaz:
http://arxiv.org/abs/2307.16852
Effective resource allocation in sensor networks, IoT systems, and distributed computing is essential for applications such as environmental monitoring, surveillance, and smart infrastructure. Sensors or agents must optimize their resource allocation
Externí odkaz:
http://arxiv.org/abs/2307.06442
Similarity caching allows requests for an item \(i\) to be served by a similar item \(i'\). Applications include recommendation systems, multimedia retrieval, and machine learning. Recently, many similarity caching policies have been proposed, but st
Externí odkaz:
http://arxiv.org/abs/2209.03174
Autor:
Renata Menasche, Carmen Lozano-Cabedo
Publikováno v:
Horizontes Antropológicos, Vol 30, Iss 69 (2024)
Resumo Ainda que nas últimas décadas tenham passado por intensas transformações, os mercados municipais de Madrid permanecem tendo papel significativo no abastecimento de alimentos frescos e são considerados espaços em que, através da proximid
Externí odkaz:
https://doaj.org/article/b3b99f1c2b9b43378a611062fb311f6d
