CN113890764A - Time synchronization system with prediction function and safety monitoring method and device thereof - Google Patents

Time synchronization system with prediction function and safety monitoring method and device thereof Download PDF

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CN113890764A
CN113890764A CN202111171269.2A CN202111171269A CN113890764A CN 113890764 A CN113890764 A CN 113890764A CN 202111171269 A CN202111171269 A CN 202111171269A CN 113890764 A CN113890764 A CN 113890764A
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CN113890764B (en
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李扬
徐兵杰
胡金龙
马荔
黄伟
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CETC 30 Research Institute
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416—Event detection, e.g. attack signature detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J3/00—Time-division multiplex systems
    • H04J3/02—Details
    • H04J3/06—Synchronising arrangements
    • H04J3/0635—Clock or time synchronisation in a network
    • H04J3/0638—Clock or time synchronisation among nodes; Internode synchronisation
    • H04J3/0644—External master-clock
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

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Abstract

The invention discloses a time synchronization system with a prediction function and a safety monitoring method and a safety monitoring device thereof, wherein the time synchronization system comprises a master clock, a slave clock and a safety monitoring device, the master clock is used for providing a time reference and transmitting the time reference to the slave clock through a channel, the slave clock updates a local clock according to the time reference data transmitted by the master clock, and the safety monitoring device monitors possible attacks according to the time reference data transmitted by the master clock, the time measurement data and the historical value of the slave clock. The safety monitoring device comprises a data acquisition unit, a data storage unit, a model parameter updating unit, a prediction unit and a state judgment unit. The invention carries out safety monitoring parameter modeling on the time synchronization system, regresses the model parameters according to the historical data, and predicts the monitoring parameters according to the regressed model, thereby being capable of finding out potential attacks more quickly and effectively improving the safety of the optical fiber time synchronization system.

Description

Time synchronization system with prediction function and safety monitoring method and device thereof
Technical Field
The invention relates to the technical field of optical fiber time synchronization, in particular to a time synchronization system with a prediction function and a safety monitoring method and device thereof.
Background
Time is the basis for information perception, transmission and processing. After accurate time information is obtained through observation, the time information is delivered to a user through some means, and the system is called a time synchronization system. The method has wide application in the industries of electric power, traffic, communication and the like. The existing time synchronization system comprises schemes such as microwave time service, satellite time service, optical fiber time service and the like.
If the time synchronization is disturbed or attacked, the normal operation of the related equipment can be seriously influenced, and even the national economy can be greatly influenced. Among them, the delay attack is the biggest threat faced by the time synchronization system, because it directly affects the core indexes of the time synchronization system.
For the time delay attack, if the attack time delay is large in amplitude, the time synchronization system can judge the attack based on the threshold value, and the attack can be usually found quickly. In order to increase the secrecy of the attack, an attacker can adopt a gradual attack method for gradually increasing the delay, so that the conventional attack judgment method based on the threshold value needs a long time to discover the attack, and the time synchronization system has potential safety hazards.
Disclosure of Invention
The invention provides a time synchronization system with a prediction function and a safety monitoring method and device thereof aiming at the gradual time delay attack threat of the time synchronization system, which can predict the potential attack, can discover the potential attack more quickly, can perform early warning and improve the safety of the time synchronization system.
The technical scheme adopted by the invention is as follows:
a time synchronization system with a prediction function comprises a master clock, a slave clock and a safety monitoring device, wherein the master clock is used for providing a time reference and transmitting the time reference to the slave clock through a channel, the slave clock updates a local clock according to time reference data transmitted by the master clock, and the safety monitoring device monitors possible attacks according to the time reference data transmitted by the master clock, time measurement data and historical values of the slave clock;
the safety monitoring device comprises:
the data acquisition unit is connected with the slave clock and used for acquiring time data;
the data storage unit is used for storing the time data acquired by the data acquisition unit as historical data;
the model parameter updating unit is used for updating model parameters according to the historical data stored in the data storage unit and the current time data transmitted by the data acquisition unit;
the prediction unit is used for predicting the monitoring parameters according to the latest model transmitted by the model parameter updating unit;
and the state judgment unit is used for judging whether the monitoring parameter is greater than a threshold value at a certain future moment, and if so, judging that the channel has an attack.
Further, it is assumed that the monitored parameters satisfy the parameter equation
Figure BDA0003293268660000021
According to the time data sequence
Figure BDA0003293268660000022
The corresponding model parameters { a } can be calculated by regressioni}。
Further, assume that the parametric equation is a pair
Figure BDA0003293268660000023
Linear equation of historical data
Figure BDA0003293268660000024
Order:
Figure BDA0003293268660000025
Figure BDA0003293268660000026
A＝[a0，a1，...，an]T
wherein, II ═ 1, 1., 1]，
Figure BDA0003293268660000031
The model parameters can be calculated as:
Figure BDA0003293268660000032
a security monitoring device comprising:
the data acquisition unit is connected with a slave clock and used for acquiring time data, and the slave clock acquires time reference data transmitted by a master clock through a channel;
the data storage unit is used for storing the time data acquired by the data acquisition unit as historical data;
the model parameter updating unit is used for updating model parameters according to the historical data stored in the data storage unit and the current time data transmitted by the data acquisition unit;
the prediction unit is used for predicting the monitoring parameters according to the latest model transmitted by the model parameter updating unit;
and the state judgment unit is used for judging whether the monitoring parameter is greater than a threshold value at a certain future moment, and if so, judging that the channel has an attack.
Further, it is assumed that the monitored parameters satisfy the parameter equation
Figure BDA0003293268660000033
According to the time data sequence
Figure BDA0003293268660000034
The corresponding model parameters { a } can be calculated by regressioni}。
Further, assume that the parametric equation is a pair
Figure BDA0003293268660000035
Linear equation of historical data
Figure BDA0003293268660000036
Order:
Figure BDA0003293268660000037
Figure BDA0003293268660000038
A＝[a0，a1，...，an]T
wherein, II ═ 1, 1., 1]，
Figure BDA0003293268660000039
The model parameters can be calculated as:
Figure BDA0003293268660000041
a security monitoring method comprising the steps of:
s1, collecting and storing time data, wherein the time data comprises time reference data transmitted by a master clock, time measurement data of a slave clock and historical values;
s2, updating model parameters according to the collected and stored time data;
and S3, predicting the monitoring parameters according to the updated model, and if the monitoring parameters are larger than a threshold value at a certain future moment, judging that the channel has an attack.
Further, it is assumed that the monitored parameters satisfy the parameter equation
Figure BDA0003293268660000042
According to the time data sequence
Figure BDA0003293268660000043
The corresponding model parameters { a } can be calculated by regressioni}。
Further, assume that the parametric equation is a pair
Figure BDA0003293268660000044
Linear equation of historical data
Figure BDA0003293268660000045
Order:
Figure BDA0003293268660000046
Figure BDA0003293268660000047
A＝[a0，a1，...，an]T
wherein, II ═ 1, 1., 1]，
Figure BDA0003293268660000048
The model parameters can be calculated as:
Figure BDA0003293268660000049
the invention has the beneficial effects that:
the invention carries out safety monitoring parameter modeling on the time synchronization system, regresses the model parameters according to the historical data, and predicts the monitoring parameters according to the regressed model, thereby being capable of finding out potential attacks more quickly and effectively improving the safety of the optical fiber time synchronization system.
Drawings
Fig. 1 is a schematic diagram of a time synchronization system with a prediction function according to embodiment 1 of the present invention.
Fig. 2 is a schematic view of a safety monitoring device according to embodiments 1 and 2 of the present invention.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, specific embodiments of the present invention will now be described. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment provides a time synchronization system with a prediction function, as shown in fig. 1, which includes a master clock, a slave clock and a security monitoring device, wherein the master clock is used for providing a time reference and transmitting the time reference to the slave clock through a channel, the slave clock updates a local clock according to time reference data transmitted by the master clock, and the security monitoring device monitors possible attacks according to the time reference data transmitted by the master clock, time measurement data of the slave clock and historical values.
As shown in fig. 2, the safety monitoring device includes a data acquisition unit, a data storage unit, a model parameter updating unit, a prediction unit, and a state judgment unit, wherein the data acquisition unit is used for connecting with a slave clock to acquire time data; the data storage unit is used for storing the time data acquired by the data acquisition unit as historical data; the model parameter updating unit is used for updating model parameters according to the historical data stored in the data storage unit and the current time data transmitted by the data acquisition unit; the prediction unit is used for predicting the monitoring parameters according to the latest model transmitted by the model parameter updating unit; the state judgment unit is used for judging whether the monitoring parameter is larger than a threshold value at a certain future moment, and if so, judging that the channel has an attack.
Without loss of generality, the parameter equation is assumed to be a pair
Figure BDA0003293268660000051
Linear equation of historical data
Figure BDA0003293268660000052
Order;
Figure BDA0003293268660000061
Figure BDA0003293268660000062
A＝[a0，a1，...，an]T
wherein, II ═ 1, 1., 1]，
Figure BDA0003293268660000063
The model parameters can be calculated as:
Figure BDA0003293268660000064
without loss of generality, assuming that the predicted value of the monitoring parameter exceeds the threshold within 10 seconds in the future, attack safety early warning is carried out.
Assuming that the current time is ith second, the calculation can be performed successively according to the above linear equation
Figure BDA0003293268660000065
The calculation is as follows:
Figure BDA0003293268660000066
Figure BDA0003293268660000067
…
Figure BDA0003293268660000068
of these 10 values, it is assumed that the security precaution threshold is exceeded from the kth, and it is determined that there is an attack.
Example 2
The embodiment provides a safety monitoring device, as shown in fig. 2, which includes a data acquisition unit, a data storage unit, a model parameter updating unit, a prediction unit, and a state judgment unit, where the data acquisition unit is used for connecting with a slave clock to acquire time data, and the slave clock acquires time reference data transmitted by a master clock through a channel; the data storage unit is used for storing the time data acquired by the data acquisition unit as historical data; the model parameter updating unit is used for updating model parameters according to the historical data stored in the data storage unit and the current time data transmitted by the data acquisition unit; the prediction unit is used for predicting the monitoring parameters according to the latest model transmitted by the model parameter updating unit; the state judgment unit is used for judging whether the monitoring parameter is larger than a threshold value at a certain future moment, and if so, judging that the channel has an attack.
Without loss of generality, the parameter equation is assumed to be a pair
Figure BDA0003293268660000071
Linear equation of historical data
Figure BDA0003293268660000072
Order:
Figure BDA0003293268660000073
Figure BDA0003293268660000074
A＝[a0，a1，...，an]T
wherein, II ═ 1, 1., 1]，
Figure BDA0003293268660000075
The model parameters can be calculated as:
Figure BDA0003293268660000076
without loss of generality, assuming that the predicted value of the monitoring parameter exceeds the threshold within 10 seconds in the future, attack safety early warning is carried out.
Assuming that the current time is ith second, the calculation can be performed successively according to the above linear equation
Figure BDA0003293268660000077
The calculation is as follows:
Figure BDA0003293268660000078
Figure BDA0003293268660000079
…
Figure BDA00032932686600000710
of these 10 values, it is assumed that the security precaution threshold is exceeded from the kth, and it is determined that there is an attack.
Example 3
The embodiment provides a safety monitoring method, which comprises the following steps:
s1, collecting and storing time data, wherein the time data comprises time reference data transmitted by a master clock, time measurement data of a slave clock and historical values;
s2, updating model parameters according to the collected and stored time data;
and S3, predicting the monitoring parameters according to the updated model, and if the monitoring parameters are larger than a threshold value at a certain future moment, judging that the channel has an attack.
Without loss of generality, the parameter equation is assumed to be a pair
Figure BDA0003293268660000081
Linear equation of historical data
Figure BDA0003293268660000082
Order:
Figure BDA0003293268660000083
Figure BDA0003293268660000084
A＝[a0，a1，...，an]T
wherein, II ═ 1, 1., 1]，
Figure BDA0003293268660000085
The model parameters can be calculated as:
Figure BDA0003293268660000086
without loss of generality, assuming that the predicted value of the monitoring parameter exceeds the threshold within 10 seconds in the future, attack safety early warning is carried out.
Assuming that the current time is ith second, the calculation can be performed successively according to the above linear equation
Figure BDA0003293268660000087
The calculation is as follows:
Figure BDA0003293268660000088
Figure BDA0003293268660000089
…
Figure BDA00032932686600000810
of these 10 values, it is assumed that the security precaution threshold is exceeded from the kth, and it is determined that there is an attack.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (9)

1. A time synchronization system with a prediction function is characterized by comprising a master clock, a slave clock and a safety monitoring device, wherein the master clock is used for providing a time reference and is transmitted to the slave clock through a channel, the slave clock updates a local clock according to the time reference data transmitted by the master clock, and the safety monitoring device monitors possible attacks according to the time reference data transmitted by the master clock, the time measurement data and the historical value of the slave clock;
the safety monitoring device comprises:
the data acquisition unit is connected with the slave clock and used for acquiring time data;
the data storage unit is used for storing the time data acquired by the data acquisition unit as historical data;
the model parameter updating unit is used for updating model parameters according to the historical data stored in the data storage unit and the current time data transmitted by the data acquisition unit;
the prediction unit is used for predicting the monitoring parameters according to the latest model transmitted by the model parameter updating unit;
and the state judgment unit is used for judging whether the monitoring parameter is greater than a threshold value at a certain future moment, and if so, judging that the channel has an attack.
2. The time synchronization system with prediction function of claim 1, wherein the monitoring parameter is assumed to satisfy a parameter equation
Figure FDA0003293268650000011
According to the time data sequence
Figure FDA0003293268650000012
The corresponding model parameters { a } can be calculated by regressioni}。
3. The time synchronization system with prediction function of claim 2, wherein the hypothetical parametric equation is a pair
Figure FDA0003293268650000013
Linear equation of historical data
Figure FDA0003293268650000014
Figure FDA0003293268650000015
Order:
Figure FDA0003293268650000016
Figure FDA0003293268650000021
A＝[a0,a1,...,an]T
wherein, II ═ 1, 1., 1]，
Figure FDA0003293268650000022
The model parameters can be calculated as:
Figure FDA0003293268650000023
4. a security monitoring device, comprising:
the data acquisition unit is connected with a slave clock and used for acquiring time data, and the slave clock acquires time reference data transmitted by a master clock through a channel;
the data storage unit is used for storing the time data acquired by the data acquisition unit as historical data;
the model parameter updating unit is used for updating model parameters according to the historical data stored in the data storage unit and the current time data transmitted by the data acquisition unit;
the prediction unit is used for predicting the monitoring parameters according to the latest model transmitted by the model parameter updating unit;
and the state judgment unit is used for judging whether the monitoring parameter is greater than a threshold value at a certain future moment, and if so, judging that the channel has an attack.
5. The security monitoring device of claim 4, wherein the monitored parameter is assumed to satisfy a parametric equation
Figure FDA0003293268650000024
According to the timeData sequence
Figure FDA0003293268650000025
The corresponding model parameters { a } can be calculated by regressioni}。
6. The security monitor device of claim 5 wherein the hypothetical parametric equation is a pair
Figure FDA0003293268650000026
Linear equation of historical data
Figure FDA0003293268650000027
Figure FDA0003293268650000028
Order:
Figure FDA0003293268650000029
Figure FDA00032932686500000210
A＝[a0,a1,...,an]T
wherein, II ═ 1, 1., 1]，
Figure FDA0003293268650000031
The model parameters can be calculated as:
Figure FDA0003293268650000032
7. a security monitoring method, comprising the steps of:
s1, collecting and storing time data, wherein the time data comprises time reference data transmitted by a master clock, time measurement data of a slave clock and historical values;
s2, updating model parameters according to the collected and stored time data;
and S3, predicting the monitoring parameters according to the updated model, and if the monitoring parameters are larger than a threshold value at a certain future moment, judging that the channel has an attack.
8. The security monitoring method of claim 7, wherein the monitoring parameters are assumed to satisfy a parametric equation
Figure FDA0003293268650000033
According to the time data sequence
Figure FDA0003293268650000034
The corresponding model parameters { a } can be calculated by regressioni}。
9. The security monitoring method of claim 8, wherein the hypothetical parametric equation is a pair
Figure FDA0003293268650000035
Linear equation of historical data
Figure FDA0003293268650000036
Figure FDA0003293268650000037
Order:
Figure FDA0003293268650000038
Figure FDA0003293268650000039
A＝[a0,a1,...,an]T
wherein, II ═ 1, 1., 1]，
Figure FDA00032932686500000310
The model parameters can be calculated as:
Figure FDA00032932686500000311
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