METHOD FOR DETECTING HIDDEN INTERACTIONS ON THE INTERNET OF THINGS Russian patent published in 2018 - IPC G06F17/30 H04W4/30 

Abstract RU 2654167 C2

FIELD: information technology.

SUBSTANCE: invention relates to computer systems, namely to the Internet of Things. Disclosed is a method for detecting hidden interactions on the Internet of Things, comprising collection of data from devices connected to the Internet, aggregation of received data by devices, data normalization, event generation, characterized by the fact that data is generated from the event data described by the tuple: Event = {source, recipient, type, time}, then the events are classified for each device in terms of the degree of similarity, then for the whole set of devices, the devices are selected by pairs, wherein for each device from the pair, events of the same type are selected, for example, "command" or "measurement value", the time period T during which for both selected devices connected to the Internet, the database has the events generated by them, is selected, such events that occurred during the period T are selected from the database and two sets of data are obtained, where each set consists of a sequence of events selected from the database, and for these two sets of data, a pair correlation coefficient characterizing the linear relationship between the data sets, and the agreement coefficient in dynamics, characterizing the nonlinear interaction between data sets and calculated using the mathematical apparatus of finite differences, are calculated; if the values of both coefficients are more than 0.5 modulo, there is interaction, and it is linear; if the values of the agreement coefficient in dynamics are less than 0.3 modulo, there is no interaction; if the value of the correlation coefficient is less than 0.3, and the value of the agreement coefficient in dynamics is more than 0.5, there is interaction, and it is nonlinear.

EFFECT: detecting hidden interactions on the Internet of Things.

1 cl, 1 dwg, 2 tbl

Similar patents RU2654167C2

Title Year Author Number
METHOD OF VISUALIZING OF CORRELATIONS IN INTERNET OF THINGS 2016
  • Zegzhda Petr Dmitrievich
  • Lavrova Darya Sergeevna
  • Pechenkin Aleksandr Igorevich
RU2642414C2
METHOD OF COMPUTER SECURITY DISTRIBUTED EVENTS INVESTIGATION 2015
  • Gajnov Artur Evgenevich
  • Zavodtsev Ilya Valentinovich
RU2610395C1
SYSTEM AND METHOD OF CORRELATING EVENTS FOR DETECTING INFORMATION SECURITY INCIDENT 2019
  • Lyukshin Ivan Stanislavovich
  • Kiryukhin Andrej Aleksandrovich
  • Lukiyan Dmitrij Sergeevich
  • Filonov Pavel Vladimirovich
RU2739864C1
SYSTEM AND METHOD FOR AUTOMATIC INVESTIGATION OF SAFETY INCIDENTS 2011
  • Zajtsev Oleg Vladimirovich
RU2481633C2
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 USING LARGE LANGUAGE MODELS WHEN RESPONDING TO INFORMATION SECURITY INCIDENTS 2023
  • Sergeev Viktor Gennadevich
RU2825972C1
METHOD OF GENERATING REQUESTS TO LARGE LANGUAGE MODEL WHEN MONITORING SECURITY AND RESPONDING TO INCIDENTS 2023
  • Sergeev Viktor Gennadevich
RU2825973C1
METHOD FOR PROCESSING INFORMATION SECURITY EVENTS PRIOR TO TRANSMISSION FOR ANALYSIS 2020
  • Filonov Pavel Vladimirovich
  • Soldatov Sergej Vladimirovich
  • Udimov Daniil Alekseevich
RU2762528C1
SYSTEM AND METHOD FOR PREVENTION SAFETY INCIDENTS BASED ON USER DANGER RATING 2011
  • Zajtsev Oleg Vladimirovich
  • Boronin Valerij Andreevich
RU2477929C2
METHOD OF CONTROL OVER SERVICING AND REPAIR OF RAILWAY ROLLING STOCK AND SYSTEM TO THIS END 2013
  • Lipa Kirill Valer'Evich
  • Grinenko Anna Valerievna
  • Ljangasov Sergej Leonidovich
  • Lakin Igor' Kapitonovich
  • Abolmasov Aleksej Aleksandrovich
  • Mel'Nikov Viktor Aleksandrovich
RU2569216C2

RU 2 654 167 C2

Authors

Zegzhda Petr Dmitrievich

Lavrova Darya Sergeevna

Pechenkin Aleksandr Igorevich

Dates

2018-05-16Published

2015-11-10Filed