MONTIERI, ANTONIO
 Distribuzione geografica
Continente #
AS - Asia 2.056
EU - Europa 1.709
NA - Nord America 1.201
SA - Sud America 282
AF - Africa 37
OC - Oceania 8
Totale 5.293
Nazione #
US - Stati Uniti d'America 1.134
SG - Singapore 947
RU - Federazione Russa 645
IT - Italia 577
CN - Cina 555
BR - Brasile 232
HK - Hong Kong 182
DE - Germania 130
VN - Vietnam 98
KR - Corea 71
NL - Olanda 66
GB - Regno Unito 59
FR - Francia 54
FI - Finlandia 45
IN - India 43
CA - Canada 36
IR - Iran 27
AT - Austria 23
MX - Messico 22
PK - Pakistan 22
SE - Svezia 21
ES - Italia 19
JP - Giappone 19
AR - Argentina 16
BD - Bangladesh 16
CZ - Repubblica Ceca 14
IE - Irlanda 12
PE - Perù 11
ZA - Sudafrica 11
EC - Ecuador 10
ID - Indonesia 9
PL - Polonia 9
TW - Taiwan 9
UA - Ucraina 9
LT - Lituania 8
TR - Turchia 8
AU - Australia 7
CI - Costa d'Avorio 7
IQ - Iraq 7
MA - Marocco 7
MY - Malesia 6
BE - Belgio 4
CO - Colombia 4
OM - Oman 4
PY - Paraguay 4
SA - Arabia Saudita 4
UZ - Uzbekistan 4
IL - Israele 3
PA - Panama 3
PH - Filippine 3
VE - Venezuela 3
AE - Emirati Arabi Uniti 2
BY - Bielorussia 2
CL - Cile 2
DO - Repubblica Dominicana 2
EE - Estonia 2
EG - Egitto 2
HU - Ungheria 2
JO - Giordania 2
KE - Kenya 2
KZ - Kazakistan 2
LB - Libano 2
LU - Lussemburgo 2
NO - Norvegia 2
NP - Nepal 2
TH - Thailandia 2
AF - Afghanistan, Repubblica islamica di 1
AL - Albania 1
AM - Armenia 1
AZ - Azerbaigian 1
BA - Bosnia-Erzegovina 1
BB - Barbados 1
BN - Brunei Darussalam 1
CG - Congo 1
CR - Costa Rica 1
DZ - Algeria 1
ET - Etiopia 1
JM - Giamaica 1
KG - Kirghizistan 1
MR - Mauritania 1
MU - Mauritius 1
NG - Nigeria 1
NI - Nicaragua 1
RO - Romania 1
SK - Slovacchia (Repubblica Slovacca) 1
SY - Repubblica araba siriana 1
TG - Togo 1
TM - Turkmenistan 1
TN - Tunisia 1
TO - Tonga 1
Totale 5.293
Città #
Singapore 484
Hefei 220
Naples 212
Hong Kong 173
Moscow 168
Beijing 155
Chandler 116
Ashburn 75
Seoul 67
Los Angeles 54
Amsterdam 47
Napoli 43
Ho Chi Minh City 38
Santa Clara 38
Helsinki 36
Millbury 33
Fairfield 32
Rome 28
Milan 27
New York 26
Boston 22
Falkenstein 20
Hanoi 19
Lawrence 19
Des Moines 18
Nanjing 18
Nuremberg 17
Buffalo 16
Redondo Beach 16
São Paulo 16
Dallas 15
Lahore 15
Wilmington 15
Frankfurt am Main 14
Saint-maur-des-fossés 14
Bari 13
Princeton 13
Tokyo 13
Chicago 12
Council Bluffs 12
The Dalles 12
Ottawa 11
Brno 10
Munich 10
Atlanta 9
Brooklyn 9
Houston 9
Orem 9
Stockholm 9
Chennai 8
London 8
Mexico City 8
Mumbai 8
Rio de Janeiro 8
Seattle 8
Tehran 8
Tianjin 8
Toronto 8
Warsaw 8
Arequipa 7
Denver 7
Recife 7
Vienna 7
Abidjan 6
Boardman 6
Dublin 6
Manassas 6
Manchester 6
Nanchang 6
Paris 6
Querétaro 6
San Francisco 6
Scafati 6
Shenyang 6
Taipei 6
Belo Horizonte 5
Casoria 5
Dhaka 5
Johannesburg 5
Lappeenranta 5
Phoenix 5
Baghdad 4
Betim 4
Brasília 4
Brussels 4
Can Tho 4
Charlotte 4
Da Nang 4
Elk Grove Village 4
Falls Church 4
Gif-sur-Yvette 4
Guangzhou 4
Jakarta 4
Marano di Napoli 4
Montreal 4
Muscat 4
Portland 4
Prague 4
Quito 4
Redwood City 4
Totale 2.763
Nome #
Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web) 371
A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools 172
Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches 138
Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark 132
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges 130
A First Look at an Automated Pipeline for NGS-Based Breast-Cancer Diagnosis: The CArDIGAN Approach 129
Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning 129
MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation 126
Multi-classification approaches for classifying mobile app traffic 124
Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic 123
Toward Effective Mobile Encrypted Traffic Classification through Deep Learning 121
Characterization and Prediction of Mobile-App Traffic Using Markov Modeling 116
Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness 115
Internet censorship in Italy: An analysis of 3G/4G networks 110
MIMETIC: Mobile Encrypted Traffic Classification using Multimodal Deep Learning 110
Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems 108
DISTILLER: Encrypted traffic classification via multimodal multitask deep learning 108
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples 106
Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems 106
On the performance of the wide-area networks interconnecting public-cloud datacenters around the globe 105
Classifying attack traffic in IoT environments via few-shot learning 104
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic 104
A first look at public-cloud inter-datacenter network performance 104
Internet censorship in italy: A first look at 3G/4G networks 104
Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed with COVID-19 Outbreak 104
Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning 103
IoT Botnet-Traffic Classification Using Few-Shot Learning 103
An efficient partial coverage algorithm for wireless sensor networks 101
Traffic Classification of Mobile Apps through Multi-Classification 101
XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures 101
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps 99
Packet-level prediction of mobile-app traffic using multitask Deep Learning 98
Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI 98
Unveiling MIMETIC: Interpreting deep learning traffic classifiers via XAI techniques 94
Encrypted Multitask Traffic Classification via Multimodal Deep Learning 94
On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives 93
Machine and Deep Learning Approaches for IoT Attack Classification 93
How and how much traceroute confuses our understanding of network paths 93
Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability 89
Mobile Encrypted Traffic Classification Using Deep Learning 87
A First Look at Accurate Network Traffic Generation in Virtual Environments 86
On the Network Performance of Amazon S3 Cloud-Storage Service 84
Computational intelligence intrusion detection techniques in mobile cloud computing environments: Review, taxonomy, and open research issues 76
AI-powered Internet Traffic Classification: Past, Present, and Future 75
A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection 73
CloudSurf: A platform for monitoring public-cloud networks 71
BlockSD-5GNet: Enhancing security of 5G network through blockchain-SDN with ML-based bandwidth prediction 65
A sleep scheduling approach based on learning automata for WSN partialcoverage 65
Human behavior sensing: challenges and approaches 63
SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT 55
null 22
Mapping the Landscape of Generative AI in Network Monitoring and Management 16
Totale 5.397
Categoria #
all - tutte 16.433
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 16.433


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202172 0 0 0 0 0 7 30 11 6 0 7 11
2021/2022295 11 0 2 25 2 23 0 19 41 15 61 96
2022/2023380 34 14 20 26 42 53 9 38 72 46 16 10
2023/2024415 15 43 85 6 23 31 22 37 35 15 71 32
2024/20251.872 118 101 7 37 70 113 194 121 104 147 656 204
2025/20262.041 406 312 336 373 514 100 0 0 0 0 0 0
Totale 5.397