CN-121999553-A - High-safety intelligent building identification method and system

CN121999553ACN 121999553 ACN121999553 ACN 121999553ACN-121999553-A

Abstract

The application discloses a high-safety intelligent building identification method and system, which relate to a building intelligent and data safety technology and comprise the steps of acquiring user historical data based on multiple identification modes to construct a user behavior portrait based on the user historical data, wherein the constructed user behavior portrait covers four dimensions of user historical behavior, an entering scene, equipment state and safety verification, dimensional characteristics are correspondingly arranged in any dimension, the corresponding calculation modes and weights are matched with any dimensional characteristic, a data set is constructed according to identification data acquired in different identification modes for any user to be verified, an identity verification value is calculated based on the value and the weights of the dimensional characteristics of the data set, and whether any user to be verified passes verification is identified according to the identity verification value and the size of a preset verification threshold. The method disclosed by the application is integrated with a multi-mode identification mode, so that the safety and environmental adaptability of identity verification are improved.

Inventors

MA QIANG
JI GUOZHEN
KANG RONGBAO
DU YANXIA
CAO JINBO
XU SHUO
ZHANG CHAO
TANG LIN
ZHANG XIAO
Gui Chengbo

Assignees

中国电子科技集团公司第三十研究所

Dates

Publication Date: 20260508
Application Date: 20260113

Claims (9)

1. The high-security intelligent building identification method is characterized by comprising the following steps of: Configuring multiple recognition modes for the intelligent building; based on multiple recognition modes, acquiring user history data to construct a user behavior portrait based on the user history data, wherein the constructed user behavior portrait covers four dimensions of user history behavior, entering a scene, equipment state and safety verification, dimensional features are correspondingly arranged in any dimension, and the any dimension features are matched with corresponding calculation modes and weights; For any user to be verified, constructing a data set according to identification data acquired in different identification modes, and calculating an identity verification value based on the value and the weight of the dimension characteristic of the data set; And identifying whether any user to be verified passes verification or not according to the identity verification value and the size of the preset verification threshold.
2. The high security intelligent building identification method of claim 1, wherein for users to be authenticated who have historical behavioral data, the weights of the dimensional features are configured according to user type; And configuring default dimension feature weights for the identification data acquired in different identification modes for the user to be verified without historical behavior data.
3. The method of claim 1, further comprising partitioning the intelligent building, wherein different partitioned areas use different combinations of identification modes to distinguish security levels of the areas, wherein the different combinations of identification modes include a single-mode identification mode and a multi-mode identification mode.
4. A high security intelligent building identification method according to claim 3, wherein different types of users to be authenticated are configured with a permission matrix based on user type-regional security level-time dimension, and an authorization mode of fixed authorization, temporary authorization and dynamic authorization according to regional security level and/or time dimension is realized; according to the safety levels required by different areas, the identification intensity is adjusted, wherein the multi-mode weight duty ratio is improved for the areas with high safety levels, and according to the emergency period, a single-mode identification mode is configured for each area.
5. The method of claim 4, wherein the accessing the associated platform performs mutual identity recognition and initiates the configuration of the link weights according to the mutual identity recognition result.
6. The method of claim 1, further comprising storing all operation logs of the intelligent building in a chain type by encryption, wherein each log contains a hash value of a previous log, and preventing log tampering.
7. The method for identifying the high-security intelligent building according to claim 1, further comprising the steps of carrying out differential parameter configuration on different types of users to be authenticated in advance so as to configure characteristic factors and weights of user behavior portraits, setting identity verification thresholds of all areas and adjusting temporary rights.
8. The high security intelligent building identification method of claim 7, further comprising triggering an associated early warning action in the event of a multiple verification failure in the area of high security level, in which a malicious attack, unauthorized intrusion, or the like is identified.
9. A high security intelligent building identification system comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements the steps of the high security intelligent building identification method of any of claims 1 to 8.

Description

High-safety intelligent building identification method and system Technical Field The application relates to the technical fields of building intellectualization and data security, in particular to a high-security intelligent building identification method and system. Background Along with the rapid development of building intellectualization, the traditional building identification system (such as a single card swiping entrance guard, a coded lock and an independent face recognition entrance guard) is difficult to meet the requirement of a high-safety intelligent building on safety, and has the following core problems: The safety is insufficient, the existing intelligent building identification system has the phenomena of card copying, password leakage, photo/video attack of face recognition and the like of a card swiping access control, and the identification mode cannot be dynamically adjusted according to user behaviors, so that the access threshold is improved. Disclosure of Invention The embodiment of the application provides a high-safety intelligent building identification method and a high-safety intelligent building identification system, which are used for constructing a multidimensional user behavior portrait, constructing a user behavior portrait covering four characteristics of behaviors, scenes, equipment and safety, adopting a core characteristic and a weight flexible adjustment thought, adjusting and optimizing characteristic factors and weights according to actual running conditions, fusing a multi-mode identification mode, and improving the safety and environmental adaptability of identity verification. The embodiment of the application provides a high-security intelligent building identification method, which comprises the following steps: Configuring multiple recognition modes for the intelligent building; based on multiple recognition modes, acquiring user history data to construct a user behavior portrait based on the user history data, wherein the constructed user behavior portrait covers four dimensions of user history behavior, entering a scene, equipment state and safety verification, dimensional features are correspondingly arranged in any dimension, and the any dimension features are matched with corresponding calculation modes and weights; For any user to be verified, constructing a data set according to identification data acquired in different identification modes, and calculating an identity verification value based on the value and the weight of the dimension characteristic of the data set; And identifying whether any user to be verified passes verification or not according to the identity verification value and the size of the preset verification threshold. Optionally, for the user to be verified with the historical behavior data, configuring the weight of the dimension feature according to the user type; And configuring default dimension feature weights for the identification data acquired in different identification modes for the user to be verified without historical behavior data. Optionally, the intelligent building is partitioned, wherein different partitioned areas adopt different combinations of identification modes to distinguish the security level of the areas, and the different combinations of identification modes comprise a single-mode identification mode and a multi-mode identification mode. Optionally, configuring authority matrixes based on user type-regional security level-time dimension for different types of users to be verified, and realizing authorization modes of fixed authorization, temporary authorization and dynamic authorization according to the regional security level and/or the time dimension; according to the safety levels required by different areas, the identification intensity is adjusted, wherein the multi-mode weight duty ratio is improved for the areas with high safety levels, and according to the emergency period, a single-mode identification mode is configured for each area. Optionally, accessing the identity mutual recognition of the associated platform and starting linkage weight configuration according to the identity mutual recognition result. Optionally, all operation logs of the intelligent building are stored in a chained encryption mode, and each log comprises a hash value of the previous log to prevent log tampering. Optionally, the method further comprises the steps of carrying out differential parameter configuration on different types of users to be verified in advance so as to configure characteristic factors and weights of user behavior portraits, setting identity verification thresholds of all areas and adjusting temporary authorities. Optionally, the method further comprises triggering related early warning actions under the conditions of identifying malicious attacks, unauthorized intrusion and multiple verification failures in the high-security-level area. The embodiment of the application also provides a high-security