statistiche ricercatore

Continente	#
NA - Nord America	1.540
EU - Europa	802
AS - Asia	738
SA - Sud America	113
AF - Africa	15
OC - Oceania	6
Continente sconosciuto - Info sul continente non disponibili	2
Totale	3.216

Nazione	#
US - Stati Uniti d'America	1.525
IT - Italia	294
SG - Singapore	227
HK - Hong Kong	207
GB - Regno Unito	146
CN - Cina	141
BR - Brasile	87
SE - Svezia	83
VN - Vietnam	64
DE - Germania	63
RU - Federazione Russa	59
FR - Francia	31
IN - India	26
FI - Finlandia	22
ID - Indonesia	18
KR - Corea	16
BG - Bulgaria	13
BE - Belgio	12
NL - Olanda	12
ES - Italia	11
UA - Ucraina	11
CA - Canada	9
AR - Argentina	8
AT - Austria	8
AU - Australia	6
JP - Giappone	6
RO - Romania	6
BD - Bangladesh	5
CH - Svizzera	5
EC - Ecuador	5
ZA - Sudafrica	5
CL - Cile	4
GR - Grecia	4
IE - Irlanda	4
PK - Pakistan	4
TR - Turchia	4
DZ - Algeria	3
IR - Iran	3
PH - Filippine	3
PT - Portogallo	3
TZ - Tanzania	3
AL - Albania	2
AZ - Azerbaigian	2
CO - Colombia	2
IQ - Iraq	2
MX - Messico	2
NO - Norvegia	2
PL - Polonia	2
PR - Porto Rico	2
PY - Paraguay	2
SK - Slovacchia (Repubblica Slovacca)	2
TH - Thailandia	2
TW - Taiwan	2
VE - Venezuela	2
A2 - ???statistics.table.value.countryCode.A2???	1
AE - Emirati Arabi Uniti	1
BO - Bolivia	1
BY - Bielorussia	1
CZ - Repubblica Ceca	1
DK - Danimarca	1
EG - Egitto	1
EU - Europa	1
GN - Guinea	1
HN - Honduras	1
HU - Ungheria	1
IM - Isola di Man	1
JM - Giamaica	1
KE - Kenya	1
KG - Kirghizistan	1
KW - Kuwait	1
LB - Libano	1
LT - Lituania	1
LV - Lettonia	1
OM - Oman	1
PE - Perù	1
UY - Uruguay	1
UZ - Uzbekistan	1
ZW - Zimbabwe	1
Totale	3.216

Nome	#
Detection and Threat Prioritization of Pivoting Attacks in Large Networks	476
Identifying malicious hosts involved in periodic communications	309
On the effectiveness of machine and deep learning for cyber security	304
Security Analytics and Machine Learning for Cyber Detection: Problematiche Moderne e Soluzioni Innovative	301
Scalable architecture for online prioritization of cyber threats	282
Addressing Adversarial Attacks Against Security Systems Based on Machine Learning	252
AppCon: Mitigating evasion attacks to ML cyber detectors	247
DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems	206
Hardening Random Forest Cyber Detectors Against Adversarial Attacks	191
Deep Reinforcement Adversarial Learning against Botnet Evasion Attacks	161
Evading botnet detectors based on flows and random forest with adversarial samples	145
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems	138
Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors	137
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems	74
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection	38
Totale	3.261

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	400	0	0	0	0	0	53	31	71	61	107	48	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	496	47	28	95	92	190	44	0	0	0	0	0	0
Totale													3.261