METHOD FOR EARLY DETECTION OF DESTRUCTIVE EFFECTS OF BOTNET ON A COMMUNICATION NETWORK Russian patent published in 2020 - IPC G06F21/56 H04L29/06 

Abstract RU 2731467 C1

FIELD: information technology.

SUBSTANCE: invention relates to systems for determining computer attacks on communication networks using Internet resources. Technical problem is solved due to the early detection method of Botnet destructive actions on the communication network, in which by analyzing the information stream arriving at the pre-infected personal computer, determining the type and target of Botnet actions, on the basis of which measures are taken to advance activation of means and methods of counteracting destructive action.

EFFECT: technical result is reduced time for making a decision to counteract destructive effect on a communication network from Botnet due to identification of the beginning of destructive effect at the stage of Botnet preparation for action.

1 cl, 3 dwg

Similar patents RU2731467C1

Title Year Author Number
SYSTEM FOR EARLY DETECTION OF INFORMATION AND TECHNICAL IMPACTS ON COMPUTER NETWORK NODES CARRIED OUT USING BOTNET 2020
  • Dobryshin Mikhail Mikhajlovich
  • Gorbulya Dmitrij Sergeevich
  • Loktionov Aleksandr Dmitrievich
RU2792926C2
ADAPTIVE INFORMATION AND TECHNICAL MONITORING SYSTEM 2019
  • Dobryshin Mikhail Mikhajlovich
  • Zakalkin Pavel Vladimirovich
  • Grechishnikov Evgenij Vladimirovich
  • Shugurov Dmitrij Evgenevich
  • Chuklyaev Ilya Igorevich
  • Chizhankov Andrej Vladimirovich
  • Shevchenko Aleksandr Leontevich
RU2728763C1
METHOD OF ANALYSING AND DETECTING MALICIOUS INTERMEDIATE NODES IN NETWORK 2012
  • Golovanov Sergej Jur'Evich
RU2495486C1
METHOD OF PROTECTING COMMUNICATION NETWORK SERVICE SERVERS AGAINST COMPUTER ATTACKS 2019
  • Dobryshin Mikhail Mikhajlovich
  • Zakalkin Pavel Vladimirovich
  • Starodubtsev Yurij Ivanovich
  • Ivanov Sergej Aleksandrovich
  • Anikanov Gennadij Aleksandrovich
RU2718650C1
METHOD FOR ADJUSTING THE PARAMETERS OF A MACHINE LEARNING MODEL IN ORDER TO IDENTIFY FALSE TRIGGERING AND INFORMATION SECURITY INCIDENTS 2020
  • Filonov Pavel Vladimirovich
  • Soldatov Sergej Vladimirovich
  • Udimov Daniil Alekseevich
RU2763115C1
METHOD OF DETECTING MALICIOUS FILES USING LINK GRAPH 2023
  • Kogtenkov Aleksei Aleksandrovich
  • Romanenko Aleksei Mikhailovich
  • Antonov Aleksei Evgenevich
RU2823749C1
METHOD OF USING OPTIONS OF COUNTERMEASURE OF NETWORK AND STREAM COMPUTER INTELLIGENCE AND NETWORK ATTACKS AND SYSTEM THEREFOR 2018
  • Grechishnikov Evgenij Vladimirovich
  • Dobryshin Mikhail Mikhajlovich
  • Reformat Andrej Nikolaevich
  • Klimov Sergej Mikhajlovich
  • Chuklyaev Ilya Igorevich
RU2682108C1
METHOD OF DETERMINING NUMBER OF BACKUP COMMUNICATION LINES PROVIDING STABLE PROVISION OF TELECOMMUNICATION SERVICES TO CORPORATE COMMUNICATION NETWORK 2023
  • Gorbulia Dmitrii Sergeevich
  • Dobryshin Mikhail Mikhailovich
  • Belov Andrei Sergeevich
  • Struev Aleksandr Anatolevich
  • Karamykhova Oksana Viktorovna
  • Anisimov Vladimir Georgievich
  • Gromov Iurii Iurevich
  • Filin Fedor Viktorovich
RU2824731C1
METHOD FOR PROCESSING INFORMATION SECURITY EVENTS PRIOR TO TRANSMISSION FOR ANALYSIS 2020
  • Filonov Pavel Vladimirovich
  • Soldatov Sergej Vladimirovich
  • Udimov Daniil Alekseevich
RU2762528C1
COMPUTER ATTACK DETECTION SYSTEM WITH ADAPTIVE CHANGE OF COMPLEX RULES 2021
  • Dobryshin Mikhail Mikhailovich
  • Reformat Andrei Nikolaevich
  • Belov Andrei Sergeevich
  • Struev Aleksandr Anatolevich
  • Anisimov Vladimir Georgievich
  • Anisimov Evgenii Georgievich
RU2782711C1

RU 2 731 467 C1

Authors

Grechishnikov Evgenij Vladimirovich

Dobryshin Mikhail Mikhajlovich

Kozachok Aleksandr Vasilevich

Spirin Andrej Andreevich

Kochedykov Sergej Sergeevich

Potapov Sergej Evgenevich

Dates

2020-09-03Published

2019-11-06Filed