ZOPPI, TOMMASO
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 4.911
EU - Europa 3.697
AS - Asia 2.335
SA - Sud America 409
Continente sconosciuto - Info sul continente non disponibili 189
AF - Africa 64
OC - Oceania 23
Totale 11.628
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 4.828
PL - Polonia 1.356
IT - Italia 935
RU - Federazione Russa 774
SG - Singapore 588
CN - Cina 578
BR - Brasile 314
VN - Vietnam 271
HK - Hong Kong 232
KR - Corea 211
IE - Irlanda 155
SE - Svezia 113
BD - Bangladesh 100
IN - India 90
FI - Finlandia 68
DE - Germania 62
FR - Francia 62
JP - Giappone 62
GB - Regno Unito 52
ID - Indonesia 49
JO - Giordania 47
CA - Canada 37
NL - Olanda 36
ES - Italia 27
AR - Argentina 24
AU - Australia 22
EC - Ecuador 20
ZA - Sudafrica 18
CO - Colombia 16
BE - Belgio 15
MX - Messico 15
PK - Pakistan 14
TR - Turchia 12
PE - Perù 11
TW - Taiwan 11
IQ - Iraq 10
CL - Cile 9
MY - Malesia 9
NG - Nigeria 9
UA - Ucraina 9
AT - Austria 7
EG - Egitto 7
PY - Paraguay 7
PH - Filippine 6
CI - Costa d'Avorio 5
DO - Repubblica Dominicana 5
KH - Cambogia 5
NP - Nepal 5
TH - Thailandia 5
VE - Venezuela 5
GT - Guatemala 4
HN - Honduras 4
IL - Israele 4
MA - Marocco 4
PT - Portogallo 4
UZ - Uzbekistan 4
AE - Emirati Arabi Uniti 3
AL - Albania 3
AO - Angola 3
AZ - Azerbaigian 3
BJ - Benin 3
CH - Svizzera 3
CR - Costa Rica 3
EU - Europa 3
HU - Ungheria 3
JM - Giamaica 3
KE - Kenya 3
KZ - Kazakistan 3
RO - Romania 3
TN - Tunisia 3
TT - Trinidad e Tobago 3
BB - Barbados 2
BH - Bahrain 2
BY - Bielorussia 2
DZ - Algeria 2
ET - Etiopia 2
IR - Iran 2
LB - Libano 2
LU - Lussemburgo 2
MD - Moldavia 2
SV - El Salvador 2
TZ - Tanzania 2
UY - Uruguay 2
AM - Armenia 1
BA - Bosnia-Erzegovina 1
BF - Burkina Faso 1
BG - Bulgaria 1
BO - Bolivia 1
CW - ???statistics.table.value.countryCode.CW??? 1
DK - Danimarca 1
GM - Gambi 1
GR - Grecia 1
KN - Saint Kitts e Nevis 1
LC - Santa Lucia 1
ML - Mali 1
MN - Mongolia 1
MQ - Martinica 1
NI - Nicaragua 1
NZ - Nuova Zelanda 1
OM - Oman 1
Totale 11.438
Salva come PNG Salva come JPEG
Città #
Santa Clara 1.775
Warsaw 1.353
Ashburn 502
Singapore 439
Fairfield 235
Seoul 208
Hong Kong 191
San Jose 183
Florence 174
Hefei 166
Dublin 153
Woodbridge 139
Cambridge 121
Ann Arbor 105
Milan 104
Chandler 103
Seattle 103
Houston 96
Ho Chi Minh City 87
Wilmington 85
Los Angeles 81
Beijing 73
Council Bluffs 70
Rome 65
Altamura 60
Hanoi 57
Lawrence 55
Tokyo 55
Lauterbourg 51
Princeton 50
The Dalles 45
New York 40
Moscow 37
Buffalo 36
Mumbai 36
Jakarta 35
Dallas 34
Phoenix 33
Boston 31
Helsinki 28
Melbourne 22
Clifton 21
San Diego 20
Dong Ket 19
Orem 19
Shanghai 19
São Paulo 19
Medford 17
Naples 17
Chicago 16
Bologna 15
Brussels 15
Kent 15
Lappeenranta 15
London 15
Turin 15
Barcelona 14
Chennai 14
Rio de Janeiro 14
Atlanta 13
Boardman 13
Da Nang 13
Redondo Beach 11
Taipei 11
Brooklyn 10
Frankfurt am Main 10
Guangzhou 10
Toronto 10
Haiphong 9
Johannesburg 9
Lima 9
Norwalk 9
Bengaluru 8
Cagliari 8
Genoa 8
Santiago 8
Abuja 7
Campinas 7
Falls Church 7
Guayaquil 7
Palermo 7
Philadelphia 7
San Francisco 7
Shenzhen 7
Thái Bình 7
Turku 7
Amsterdam 6
Bari 6
Biên Hòa 6
Brasília 6
Dhaka 6
Miano 6
Montreal 6
Nuremberg 6
Quito 6
West Jordan 6
Yubileyny 6
Abidjan 5
Amman 5
Denver 5
Totale 7.935
Salva come PNG Salva come JPEG
Nome #
Context-Awareness to improve Anomaly Detection in Dynamic Service Oriented Architectures 371
Exploring Anomaly Detection in Systems of Systems 366
A Testbed for Evaluating Anomaly Detection Monitors through Fault Injection 346
Presenting the Proper Data to the Crisis Management Operator: A Relevance Labelling Strategy 344
Towards Effective Anomaly Detection in Complex Dynamic Systems 331
Multi-Layer Anomaly Detection in Complex Dynamic Critical Systems 329
On Algorithms Selection for Unsupervised Anomaly Detection 297
Executing Online Anomaly Detection in Complex Dynamic Systems 292
Towards security requirements: Iconicity as a feature of an informal modeling language 278
Threat Analysis in Systems-of-Systems: An Emergence-Oriented Approach 277
STECA – Security Threats, Effects and Criticality Analysis: Definition and Application to Smart Grids 252
A Modeling Framework to Support Resilient Evolution Planning of Smart Grids 251
Labelling Relevant Events to Support the Crisis Management Operator 249
MADneSs: a Multi-layer Anomaly Detection Framework for Complex Dynamic Systems 248
A Tool for Evolutionary Threat Analysis of Smart Grids 245
A Multi-layer Anomaly Detector for Dynamic Service-Based Systems 233
Development and validation of a safe communication protocol compliant to railway standards 229
Evaluation of Anomaly Detection algorithms made easy with RELOAD 223
Quantitative Comparison of Unsupervised Anomaly Detection Algorithms for Intrusion Detection 216
Towards a Collaborative Framework to Improve Urban Grid Resilience 211
On the educated selection of unsupervised algorithms via attacks and anomaly classes 190
An Initial Investigation on Sliding Windows for Anomaly-Based Intrusion Detection 184
Sistema e metodo per la rappresentazione dello stato di un impianto ferroviario in un terminale operatore di tipo commerciale su rete aperta 183
Challenging Anomaly Detection in Complex Dynamic Systems 183
Tolerate Failures of the Visual Camera With Robust Image Classifiers 181
On the impact of emergent properties on SoS security 181
Quantitative comparison of supervised algorithms and feature sets for traffic sign recognition 178
Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application 176
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers 175
Into the unknown: Unsupervised machine learning algorithms for anomaly-based intrusion detection 171
On Attacks (Dis)Similarities to Test Adversarial Defense: Can We Reduce the Attack Set? 170
Anomaly Detectors for Self-Aware Edge and IoT Devices 169
Towards Enhancing Traffic Sign Recognition through Sliding Windows 169
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection 168
Safe Maintenance of Railways using COTS Mobile Devices: The Remote Worker Dashboard 167
Robust Traffic Sign Recognition Against Camera Failures 166
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape 165
Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers 165
Detecting Intrusions by Voting Diverse Machine Learners: Is It Really Worth? 164
ROSPaCe: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System and IoT Networks 161
Practical Experience Report: Implementation, verification and validation of a safe and secure communication protocol for the railway domain 160
Detect Adversarial Attacks against Deep Neural Networks with GPU Monitoring 156
Meta-learning to improve unsupervised intrusion detection in cyber-physical systems 155
On the Properness of Incorporating Binary Classification Machine Learning Algorithms into Safety-Critical Systems 154
Prepare for trouble and make it double! Supervised – Unsupervised stacking for anomaly-based intrusion detection 153
Detection of Adversarial Attacks by Observing Deep Features with Structured Data Algorithms 151
Understanding the properness of incorporating machine learning algorithms in safety-critical systems 143
Intrusion detection without attack knowledge: Generating out-of-distribution tabular data 141
Towards a General Model for Intrusion Detection: An Exploratory Study 140
A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers 138
Position Paper - Bringing Classifiers into Critical Systems: Are We Barking up the Wrong Tree? 137
Feature Rankers to Predict Classification Performance of Unsupervised Intrusion Detectors 128
Spoofing detectability as a property of biometric characteristics 122
Orchestrating Fail-Safe, Black-Box Models Within Federated Learning Scenarios 119
Confidence ensembles: Tabular data classifiers on steroids 112
Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: a Matter of Design 107
Fail-Controlled Classifiers: Do they Know when they don’t Know? 97
Deploying a Generic Threat Model for Detecting Anomalies in a Power Grid Digital Twin 89
Design, framework and benchmark of safety monitors for black-box classifiers 37
Reliable Traffic Sign Recognition: Are We Finally There? 37
System-Awareness: An Enabling Condition to Design and Deploy Anomaly Detectors 35
Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems 35
Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining 28
Totale 11.628
Salva come PNG Salva come JPEG
Categoria #
all - tutte 29.523
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 29.523
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022291 0 0 32 13 20 23 6 30 15 24 33 95
2022/2023718 75 135 39 29 57 122 79 61 96 2 19 4
2023/2024318 10 30 56 13 26 44 18 50 13 30 12 16
2024/20253.381 63 244 146 317 1.223 775 103 101 106 51 113 139
2025/20263.710 230 466 430 474 410 134 389 231 232 199 157 358
2026/2027463 185 122 156 0 0 0 0 0 0 0 0 0
Totale 11.628