Daniel Sadoc Menasche

Daniel Sadoc Menasche

Universidade Federal do Rio de Janeiro

H-index: 22

Latin America-Brazil

About Daniel Sadoc Menasche

Daniel Sadoc Menasche, With an exceptional h-index of 22 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidade Federal do Rio de Janeiro, specializes in the field of Performance Evaluation, Computer Networks, Machine Learning, Data Science, Security.

His recent articles reflect a diverse array of research interests and contributions to the field:

Method for imputation of categorical data into multiple time series of cybersecurity events

Confirmed or Dropped? Reliability Analysis of Transactions in PoW Blockchains

TTL model for an LRU-based similarity caching policy

AdaEE: Adaptive Early-Exit DNN Inference Through Multi-Armed Bandits

Patch or Exploit? NVD Assisted Classification of Vulnerability-Related GitHub Pages

Performance Model for Similarity Caching

A Large Scale Characterization of Device Uptimes

Learning When to Say Goodbye: What Should be the Shelf Life of an Indicator of Compromise?

Daniel Sadoc Menasche Information

University

Position

Brazil

Citations(all)

2044

Citations(since 2020)

1084

Cited By

1373

hIndex(all)

22

hIndex(since 2020)

16

i10Index(all)

47

i10Index(since 2020)

30

Email

University Profile Page

Universidade Federal do Rio de Janeiro

Google Scholar

View Google Scholar Profile

Daniel Sadoc Menasche Skills & Research Interests

Performance Evaluation

Computer Networks

Machine Learning

Data Science

Security

Top articles of Daniel Sadoc Menasche

Title

Journal

Author(s)

Publication Date

Method for imputation of categorical data into multiple time series of cybersecurity events

2024/2/15

Confirmed or Dropped? Reliability Analysis of Transactions in PoW Blockchains

IEEE Transactions on Network Science and Engineering

Ivan Malakhov

Andrea Marin

Sabina Rossi

Daniel Sadoc Menasché

2024/1/30

TTL model for an LRU-based similarity caching policy

Computer Networks

Younes Ben Mazziane

Sara Alouf

Giovanni Neglia

Daniel S Menasche

2024/3/1

AdaEE: Adaptive Early-Exit DNN Inference Through Multi-Armed Bandits

Roberto G Pacheco

Mark Shifrin

Rodrigo S Couto

Daniel S Menasché

Manjesh K Hanawal

...

2023/5/28

Patch or Exploit? NVD Assisted Classification of Vulnerability-Related GitHub Pages

Lucas Miranda

Cainã Figueiredo

Daniel Sadoc Menasché

Anton Kocheturov

2023/6/21

Performance Model for Similarity Caching

arXiv preprint arXiv:2309.12149

Younes Ben Mazziane

Sara Alouf

Giovanni Neglia

Daniel S Menasche

2023/9/21

A Large Scale Characterization of Device Uptimes

IEEE Transactions on Emerging Topics in Computing

Mateus Nogueira

Erica Ferreira

Pedro Boechat

Felipe Assis

Estevão Rabello

...

2023/5/3

Learning When to Say Goodbye: What Should be the Shelf Life of an Indicator of Compromise?

Breno Tostes

Leonardo Ventura

Enrico Lovat

Matheus Martins

Daniel Menasché

2023/7/31

Deep reinforcement learning for workflow optimization using provenance-based simulation

2023/3/28

On Collaboration in Distributed Parameter Estimation with Resource Constraints

arXiv preprint arXiv:2307.06442

Yu-Zhen Janice Chen

Daniel S Menasché

Don Towsley

2023/7/12

When Should Recommenders Account for Low QoS?

IEEE Access

Mateus Schulz Nogueira

João Ismael Damasceno Pinheiro

Felipe Assis

Daniel Sadoc Menasché

Pavlos Sermpezis

...

2023/11/20

Detecting anomalies through sequential performance analysis in virtualized environments

IEEE Access

Charles F Gonçalves

Daniel Menasché

Alberto Avritzer

Nuno Antunes

Marco Vieira

2023/7/10

A statistical relational learning approach towards products, software vulnerabilities and exploits

IEEE Transactions on Network and Service Management

Cainã Figueiredo Pereira

João Gabriel Lopes de Oliveira

Rodrigo Azevedo Santos

Daniel Vieira

Lucas Miranda

...

2023/1/6

Management of Caching Policies and Redundancy over Unreliable Channels

IEEE Transactions on Network and Service Management

Paulo Sena

Antonio Abelem

György Dán

Daniel Sadoc Menasché

2023/11/20

SPECIAL SECTION ON APPLIED SOFTWARE AGING AND REJUVENATION

M Grottke

A Avritzer

H Washizaki

K Trivedi

M Nogueira

...

2023/7

Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums

IEEE International Conference on Cyber Security and Resilience (IEEE CSR)

Felipe Moreno-Vera

Mateus Nogueira

Caina Figueiredo

Daniel S Menasché

Miguel Bicudo

...

2023

Assessment of Aging and Rejuvenation for Resiliency in Heterogeneous Network Clusters

Alberto Avritzer

Andrea Janes

Andrea Marin

Andre van Hoorn

Matteo Camilli

...

2023/10/9

Using reinforcement learning to dynamically tune cache policy parameters

2022/8/2

Are covert DDoS attacks facing multi-feature detectors feasible?

ACM SIGMETRICS Performance Evaluation Review

Amir Reza Ramtin

Don Towsley

Philippe Nain

Edmundo de Souza e Silva

Daniel S Menasche

2022/1/20

Em Busca de Redes Esparsas Robustas e Eficientes

Romeu Lustosa Pires

Carlos Bravo Serrado

Daniel Sadoc Menasché

2022/7/31

See List of Professors in Daniel Sadoc Menasche University(Universidade Federal do Rio de Janeiro)

Co-Authors

H-index: 142
Don Towsley

Don Towsley

University of Massachusetts Amherst

H-index: 113
Kishor Trivedi

Kishor Trivedi

Duke University

H-index: 42
Ting Zhu

Ting Zhu

University of Maryland, Baltimore County

H-index: 37
Arun Venkataramani

Arun Venkataramani

University of Massachusetts Amherst

H-index: 31
Edmundo de Souza e Silva

Edmundo de Souza e Silva

Universidade Federal do Rio de Janeiro

H-index: 28
Anne Koziolek

Anne Koziolek

Karlsruher Institut für Technologie

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