METHOD OF DETERMINING POTENTIAL THREATS TO INFORMATION SECURITY BASED ON INFORMATION ON VULNERABILITIES OF SOFTWARE Russian patent published in 2019 - IPC G06F21/57 G06N3/02 

Abstract RU 2705460 C1

FIELD: computer equipment.

SUBSTANCE: method of determining potential threats to information security based on information on vulnerabilities of software comprises steps of obtaining a list of known vulnerabilities and threats; creating artificial neural networks (ANN) to determine the possibility of realizing threats; obtaining a set of training vulnerability samples for each ANN; generating the generated ANN by using the obtained samples; obtaining list of vulnerabilities detected in IS; features of each vulnerability detected in the AN are sent to the input of each created ANN and a list of potential threats, ranked as per the implementation probability, is obtained.

EFFECT: technical result consists in reduction of complexity and labor intensity of process of formation of list of potential threats.

1 cl, 2 dwg

Similar patents RU2705460C1

Title Year Author Number
METHOD FOR IDENTIFYING SOFTWARE VULNERABILITIES FORMING THE CONDITIONS FOR INFORMATION SECURITY VIOLATION IN AN INFORMATION SYSTEM DUE TO A COMPUTER ATTACK 2021
  • Butrik Ekaterina Evgenevna
  • Solovev Sergej Veniaminovich
  • Enyutin Aleksej Yurevich
RU2783224C1
METHOD OF DETECTING AND COUNTERACTING DISTRIBUTION OF MALICIOUS PROGRAMS IN COMPUTER NETWORK 2023
  • Belov Andrei Sergeevich
  • Shugurov Dmitrii Evgenevich
  • Anisimov Vladimir Georgievich
  • Gromov Iurii Iurevich
  • Bumazhkina Natalia Iurevna
  • Mishenin Viktor Anatolevich
RU2818022C1
SYSTEM AND METHOD FOR PROTECTING USER DEVICES 2020
  • Shchetinin Evgenij Igorevich
  • Tikhomirov Anton Vladimirovich
RU2770146C2
ARTIFICIAL NEURAL NETWORK TRAINING METHOD 2019
  • Averyanova Yuliya Aleksandrovna
  • Stashenko Vyacheslav Vladimirovich
  • Strotsev Andrej Anatolevich
RU2723270C1
METHOD AND SYSTEM FOR AUTOMATED DOCUMENTATION OF SECURITY THREATS AND VULNERABILITIES RELATED TO AN INFORMATION RESOURCE 2022
  • Lebedev Sergej Vyacheslavovich
  • Savin Mikhail Valerevich
RU2789990C1
SYSTEM AND METHOD FOR DETERMINING PROCESS ASSOCIATED WITH MALWARE ENCRYPTING COMPUTER SYSTEM FILES 2020
  • Lopatin Evgenij Igorevich
  • Kondratev Dmitrij Andreevich
RU2770570C2
SYSTEM AND METHOD FOR DETECTING POTENTIAL FRAUD ON THE PART OF A CASHIER, AS WELL AS A METHOD OF FORMING A SAMPLING OF IMAGES OF GOODS FOR TRAINING AN ARTIFICIAL NEURAL NETWORK 2018
  • Altuev Murat Kazievich
  • Falomkin Igor Igorevich
  • Lyudvig Bergshnajder
RU2695056C1
SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS 2021
  • Pyatakovich Valerij Aleksandrovich
RU2763384C1
METHOD AND A SYSTEM FOR PREDICTING TIME SERIES VALUES USING AN ARTIFICIAL NEURAL NETWORK 2019
  • Chernyshev Leonid Sergeevich
RU2744041C1
METHOD OF INTERPRETING ARTIFICIAL NEURAL NETWORKS 2018
  • Zharov Yaroslav Maksimovich
  • Korzhenkov Denis Mikhajlovich
  • Shvechikov Pavel Dmitrievich
RU2689818C1

RU 2 705 460 C1

Authors

Mamuta Vladimir Vladimirovich

Solovev Sergej Veniaminovich

Dates

2019-11-07Published

2019-03-19Filed