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Extract from the Register of European Patents

EP About this file: EP4094414

EP4094414 - METHOD FOR INTRUSION DETECTION TO DETECT MALICIOUS INSIDER THREAT ACTIVITIES AND SYSTEM FOR INTRUSION DETECTION [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  15.09.2023
Database last updated on 27.07.2024
FormerGrant of patent is intended
Status updated on  31.05.2023
FormerRequest for examination was made
Status updated on  28.10.2022
FormerThe international publication has been made
Status updated on  30.07.2021
Formerunknown
Status updated on  22.05.2020
Most recent event   Tooltip26.07.2024Lapse of the patent in a contracting state
New state(s): CZ, RO		published on 28.08.2024 [2024/35]
Applicant(s)For all designated states
BULL SAS
Rue Jean Jaurès
78340 Les Clayes-Sous-Bois / FR
[2022/48]
Inventor(s)01 / GARCHERY, Mathieu
Lüneburger Str. 5
80809 München / DE
02 / SABER, Zerhoudi
Leonhard-Paminger-Str. 23
94032 Passau / DE
03 / GRANITZER, Michael
Netzerstr. 11
94036 Passau / DE
 [2022/48]
Representative(s)IPAZ
Bâtiment Platon
Parc Les Algorithmes
91190 Saint-Aubin / FR
[2022/48]
Application number, filing date20725412.915.04.2020
[2022/48]
WO2020EP60573
Priority number, dateEP2020015265220.01.2020         Original published format: EP 20152652
[2022/48]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021148145
Date:29.07.2021
Language:EN
[2021/30]
Type: A1 Application with search report 
No.:EP4094414
Date:30.11.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 29.07.2021 takes the place of the publication of the European patent application.
[2022/48]
Type: B1 Patent specification 
No.:EP4094414
Date:18.10.2023
Language:EN
[2023/42]
Search report(s)International search report - published on:EP29.07.2021
ClassificationIPC:H04L9/40, G06F21/55, G06N3/045, G06N3/08, G06N5/022
[2023/24]
CPC:
G06F21/55 (EP); H04L63/1425 (EP,US); G06N3/045 (EP);
G06N3/08 (EP); H04L63/102 (EP); H04L67/306 (US);
H04L67/535 (US); G06N5/022 (EP) (-)
Former IPC [2022/48]H04L29/06, G06F21/55, G06N3/04
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/48]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:VERFAHREN ZUR EINDRINGUNGSDETEKTION ZUM DETEKTIEREN BÖSARTIGER INSIDER-AKTIVITÄTEN UND SYSTEM ZUR EINDRINGUNGSDETEKTION[2022/48]
English:METHOD FOR INTRUSION DETECTION TO DETECT MALICIOUS INSIDER THREAT ACTIVITIES AND SYSTEM FOR INTRUSION DETECTION[2022/48]
French:PROCÉDÉ DE DÉTECTION D'INTRUSION POUR DÉTECTER DES ACTIVITÉS MALVEILLANTES DE MENACE INTERNE ET SYSTÈME DE DÉTECTION D'INTRUSION[2022/48]
Entry into regional phase06.06.2022National basic fee paid 
06.06.2022Designation fee(s) paid 
06.06.2022Examination fee paid 
Examination procedure06.06.2022Examination requested  [2022/48]
06.06.2022Date on which the examining division has become responsible
01.06.2023Communication of intention to grant the patent
12.09.2023Fee for grant paid
12.09.2023Fee for publishing/printing paid
12.09.2023Receipt of the translation of the claim(s)
Fees paidRenewal fee
07.07.2022Renewal fee patent year 03
22.03.2023Renewal fee patent year 04
Opt-out from the exclusive  Tooltip
competence of the Unified
Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipAT18.10.2023
CZ18.10.2023
DK18.10.2023
EE18.10.2023
ES18.10.2023
HR18.10.2023
LT18.10.2023
LV18.10.2023
NL18.10.2023
PL18.10.2023
RO18.10.2023
RS18.10.2023
SE18.10.2023
SM18.10.2023
BG18.01.2024
NO18.01.2024
GR19.01.2024
IS18.02.2024
PT19.02.2024
[2024/35]
Former [2024/34]AT18.10.2023
DK18.10.2023
EE18.10.2023
ES18.10.2023
HR18.10.2023
LT18.10.2023
LV18.10.2023
NL18.10.2023
PL18.10.2023
RS18.10.2023
SE18.10.2023
SM18.10.2023
BG18.01.2024
NO18.01.2024
GR19.01.2024
IS18.02.2024
PT19.02.2024
Former [2024/33]AT18.10.2023
DK18.10.2023
ES18.10.2023
HR18.10.2023
LT18.10.2023
LV18.10.2023
NL18.10.2023
PL18.10.2023
RS18.10.2023
SE18.10.2023
SM18.10.2023
BG18.01.2024
NO18.01.2024
GR19.01.2024
IS18.02.2024
PT19.02.2024
Former [2024/26]AT18.10.2023
ES18.10.2023
HR18.10.2023
LT18.10.2023
LV18.10.2023
NL18.10.2023
PL18.10.2023
RS18.10.2023
SE18.10.2023
BG18.01.2024
NO18.01.2024
GR19.01.2024
IS18.02.2024
PT19.02.2024
Former [2024/23]AT18.10.2023
ES18.10.2023
LT18.10.2023
NL18.10.2023
BG18.01.2024
GR19.01.2024
IS18.02.2024
PT19.02.2024
Former [2024/21]LT18.10.2023
NL18.10.2023
BG18.01.2024
GR19.01.2024
IS18.02.2024
Former [2024/20]NL18.10.2023
GR19.01.2024
IS18.02.2024
Former [2024/17]NL18.10.2023
Cited inInternational search[A]US2016065594  (SRIVASTAVA ASHOK N [US], et al) [A] 1-11 * abstract * * paragraph [0001] * * paragraph [0009] - paragraph [0011] * * paragraph [0030] - paragraph [0053] *;
 [A]US2017302679  (CARAMICO LUIGIUS [US]) [A] 1-11 * abstract *;
 [A]US2018375886  (KIRTI GANESH [US], et al) [A] 1-11 * abstract * * paragraph [0082] - paragraph [0084] * * paragraph [0112] - paragraph [0114] * * paragraph [0122] * * paragraph [0129] - paragraph [0130] *;
 [T]EP3660719  (ATOS INFORMATION TECH GMBH [DE]) [T] 1-11 * abstract * * paragraph [0003] - paragraph [0010] ** paragraph [0020] - paragraph [0036] *
by applicant   - BRYAN et al., DeepWalk; Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD, (20140000), vol. 14
    - ADITYA et al., node2vec; Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD, (20160000), vol. 16
    - DAIXIN et al., Structural Deep Network Embedding, (20160000), vol. 1225-1234
    - LEONARDO et al., struc2vec. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD, (20170000), vol. 17
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.