statistiche ricercatore

Continente	#
NA - Nord America	1.809
AS - Asia	1.014
EU - Europa	895
SA - Sud America	136
AF - Africa	25
OC - Oceania	7
Continente sconosciuto - Info sul continente non disponibili	2
Totale	3.888

Nazione	#
US - Stati Uniti d'America	1.784
IT - Italia	328
SG - Singapore	323
HK - Hong Kong	229
CN - Cina	182
GB - Regno Unito	158
VN - Vietnam	108
BR - Brasile	98
SE - Svezia	84
DE - Germania	71
RU - Federazione Russa	60
FR - Francia	43
IN - India	36
KR - Corea	29
ID - Indonesia	26
FI - Finlandia	24
BD - Bangladesh	22
BE - Belgio	15
NL - Olanda	14
AR - Argentina	13
BG - Bulgaria	13
ES - Italia	13
UA - Ucraina	13
CA - Canada	12
AT - Austria	8
RO - Romania	8
AU - Australia	7
CH - Svizzera	7
CL - Cile	7
JP - Giappone	7
ZA - Sudafrica	7
IQ - Iraq	6
MX - Messico	6
PK - Pakistan	6
EC - Ecuador	5
IE - Irlanda	5
PH - Filippine	5
TR - Turchia	5
TZ - Tanzania	5
AL - Albania	4
AZ - Azerbaigian	4
DZ - Algeria	4
GR - Grecia	4
TW - Taiwan	4
VE - Venezuela	4
CO - Colombia	3
HU - Ungheria	3
IR - Iran	3
PT - Portogallo	3
PY - Paraguay	3
AE - Emirati Arabi Uniti	2
BY - Bielorussia	2
IS - Islanda	2
JM - Giamaica	2
KE - Kenya	2
MY - Malesia	2
NO - Norvegia	2
PL - Polonia	2
PR - Porto Rico	2
SK - Slovacchia (Repubblica Slovacca)	2
TH - Thailandia	2
A2 - ???statistics.table.value.countryCode.A2???	1
BN - Brunei Darussalam	1
BO - Bolivia	1
CG - Congo	1
CR - Costa Rica	1
CY - Cipro	1
CZ - Repubblica Ceca	1
DK - Danimarca	1
DO - Repubblica Dominicana	1
EE - Estonia	1
EG - Egitto	1
ET - Etiopia	1
EU - Europa	1
GN - Guinea	1
HN - Honduras	1
IM - Isola di Man	1
JO - Giordania	1
KG - Kirghizistan	1
KH - Cambogia	1
KW - Kuwait	1
LB - Libano	1
LT - Lituania	1
LV - Lettonia	1
MA - Marocco	1
MD - Moldavia	1
NP - Nepal	1
OM - Oman	1
PE - Perù	1
SA - Arabia Saudita	1
SY - Repubblica araba siriana	1
TN - Tunisia	1
UY - Uruguay	1
UZ - Uzbekistan	1
YE - Yemen	1
ZW - Zimbabwe	1
Totale	3.888

Nome	#
Detection and Threat Prioritization of Pivoting Attacks in Large Networks	528
Identifying malicious hosts involved in periodic communications	360
Security Analytics and Machine Learning for Cyber Detection: Problematiche Moderne e Soluzioni Innovative	355
On the effectiveness of machine and deep learning for cyber security	341
Scalable architecture for online prioritization of cyber threats	333
Addressing Adversarial Attacks Against Security Systems Based on Machine Learning	311
AppCon: Mitigating evasion attacks to ML cyber detectors	287
DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems	268
Hardening Random Forest Cyber Detectors Against Adversarial Attacks	238
Evading botnet detectors based on flows and random forest with adversarial samples	200
Deep Reinforcement Adversarial Learning against Botnet Evasion Attacks	194
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems	177
Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors	158
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems	121
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection	62
Totale	3.933

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	29	0	0	0	0	0	0	0	0	0	0	0	29
2021/2022	328	19	12	27	24	10	17	16	18	42	41	69	33
2022/2023	383	41	42	26	33	47	47	2	39	51	16	13	26
2023/2024	338	3	30	10	27	39	19	120	24	6	15	16	29
2024/2025	701	33	2	7	36	117	97	35	83	71	44	73	103
2025/2026	1.168	47	28	95	92	190	109	159	60	125	122	79	62
Totale													3.933