CN114221779A - Network security system based on cloud computing and artificial intelligence - Google Patents
Network security system based on cloud computing and artificial intelligence Download PDFInfo
- Publication number
- CN114221779A CN114221779A CN202111254010.4A CN202111254010A CN114221779A CN 114221779 A CN114221779 A CN 114221779A CN 202111254010 A CN202111254010 A CN 202111254010A CN 114221779 A CN114221779 A CN 114221779A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- data
- cloud computing
- artificial intelligence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 49
- 238000012545 processing Methods 0.000 claims abstract description 49
- 238000012216 screening Methods 0.000 claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 8
- 238000013480 data collection Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 5
- 231100000279 safety data Toxicity 0.000 claims description 2
- 230000000007 visual effect Effects 0.000 claims 3
- 238000010586 diagram Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
- H04L63/205—Network architectures or network communication protocols for network security for managing network security; network security policies in general involving negotiation or determination of the one or more network security mechanisms to be used, e.g. by negotiation between the client and the server or between peers or by selection according to the capabilities of the entities involved
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
-
- 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
- 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
- H04L63/1441—Countermeasures against malicious traffic
Abstract
The invention belongs to the technical field of network security, and particularly relates to a network security system based on cloud computing and artificial intelligence, which comprises: the data acquisition module is connected with the cloud computing analysis module and used for acquiring relevant information under network attack; the cloud computing analysis module is connected with the artificial intelligence processing module and used for analyzing and screening information with safety risks, comparing the danger information with information collected from a network in a network safety database and searching the same information; and the artificial intelligence processing module is connected with the central processing module. The network safety system based on cloud computing and artificial intelligence can analyze and screen information with safety risks, avoid misjudgment on the information, and automatically adjust safety protection measures according to safety risk levels of dangerous information.
Description
Technical Field
The invention relates to the technical field of network security, in particular to a network security system based on cloud computing and artificial intelligence.
Background
Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and produces a new intelligent machine that can respond in a manner similar to human intelligence, the research in this field includes robots, language recognition, image recognition, natural language processing, expert systems, etc., artificial intelligence has grown in theory and technology since birth, and the application field is expanding, it can be assumed that the scientific and technological products brought by future artificial intelligence will be the ' container ' of human intelligence, artificial intelligence can simulate the information process of human consciousness and thinking, artificial intelligence is not human intelligence but can think like people and can exceed human intelligence, with the development of society, network technology is also perfected, but network technology has some safety problems, many people acquire other people's information through network and communicate through short messages, etc., thereby obtaining the labor achievement of others. Therefore, a network security system is required to protect the dangerous information;
however, the existing safety system is easy to generate dangerous misjudgment on information, so that the use is influenced, different dangerous information is processed by the same set of processing method, so that when the dangerous information with low strength faces, the energy waste is not small, and when the dangerous information with high strength faces, the protection capability is weak.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above and/or other problems with existing network security systems.
Therefore, an object of the present invention is to provide a network security system based on cloud computing and artificial intelligence, which can analyze and screen information with security risk, avoid misjudgment of the information, and automatically adjust security measures according to the security risk level of dangerous information.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
a cloud computing and artificial intelligence based network security system, comprising:
the data acquisition module is connected with the cloud computing analysis module and used for acquiring relevant information under network attack;
the cloud computing analysis module is connected with the artificial intelligence processing module and used for analyzing and screening information with safety risks, comparing the danger information with information collected from a network in a network safety database and searching the same information;
the artificial intelligence processing module is connected with the central processing module and is used for judging the level of the safety risk existing in the dangerous information, clearing or isolating the dangerous information according to the level of the safety risk and automatically processing the repeated or similar dangerous information;
the central processing module is connected with the alarm module and used for receiving information and controlling other equipment to work;
the alarm module is connected with the manual processing module and used for giving an alarm at a local terminal and a mobile terminal;
and the manual processing module is connected with the central processing module and used for manually processing the dangerous information when the system cannot process the dangerous information.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes: the cloud computing analysis module comprises a data analysis module, a data screening module and a data comparison module, the data analysis module is connected with the data screening module, and the data screening module is connected with the data comparison module.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes:
the data analysis module is used for analyzing whether the acquired safety data contain dangerous information or not;
the data screening module is used for screening out information without safety risk and leaving information possibly with safety risk;
and the data comparison module is used for comparing the dangerous information reserved in the network security database with the screened information and searching the same information.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes: the artificial intelligence processing module comprises a risk judgment module, a data clearing module, a data protection module and a learning module, wherein the risk judgment module is connected with the data clearing module and the data protection module, and the risk judgment module is connected with the learning module.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes:
the risk judging module is used for judging the level of the safety risk in the danger information, when the safety risk is not encountered or the safety risk level is too high, the data clearing module is started, otherwise, when the safety risk is not high, the data protecting module is started;
the data clearing module is used for clearing the dangerous information and deleting the related information contacted with the dangerous information;
the data protection module is used for isolating the dangerous information and preventing the dangerous information from being released from the network equipment;
and the learning module is used for providing a mechanical learning function and automatically processing repeated or similar dangerous information.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes: the alarm module comprises a communication module and an acousto-optic alarm module, the communication module is used for uploading information to a remote end, and the acousto-optic alarm module is used for providing an acousto-optic alarm function.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes: the cloud computing analysis module and the central processing module are both connected with a network security database, and the network security database is connected with a big data collection module and network equipment.
As a preferred solution of the network security system based on cloud computing and artificial intelligence, the present invention further includes:
the big data collection module is used for collecting information about dangerous information and related dangers on a network;
and the network security database is used for storing the acquired danger information and the related harm information.
Compared with the prior art: the data acquisition module acquires relevant information attacked by a network, the cloud computing analysis module analyzes and screens information with safety risk, compares the danger information with information acquired from the network in a network security database to search the same information, the artificial intelligence processing module judges the safety risk level in the danger information, eliminates or isolates the danger information according to the safety risk level and automatically processes repeated or similar danger information when processing the repeated or similar danger information, the central processing module receives the information and controls other equipment to work, the alarm module alarms at local and mobile terminals, and the artificial processing module processes the danger information manually when the system cannot process the danger information, so that the network security system based on cloud computing and artificial intelligence can analyze and screen the information with safety risk and avoid misjudgment on the information, and according to the safety risk level of the dangerous information, the measures of safety protection are automatically adjusted.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a system block diagram of a cloud computing analysis module of the present invention;
FIG. 3 is a system block diagram of an artificial intelligence processing module of the present invention;
FIG. 4 is a system block diagram of the alarm module of the present invention.
In the figure: the system comprises a 100 data acquisition module, a 200 cloud computing analysis module, a 210 data analysis module, a 220 data screening module, a 230 data comparison module, a 300 artificial intelligence processing module, a 310 risk judgment module, a 320 data clearing module, a 330 data protection module, a 340 learning module, a 400 central processing module, a 500 alarm module, a 510 communication module, a 520 acousto-optic alarm module, a 600 artificial processing module, a 700 big data collection module and an 800 network security database.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a network safety system based on cloud computing and artificial intelligence, which can analyze and screen information with safety risks, avoid misjudgment on the information, and automatically adjust safety protection measures according to the safety risk level of dangerous information.
Fig. 1 is a schematic structural diagram of a first embodiment of a network security system based on cloud computing and artificial intelligence, referring to fig. 1, the network security system based on cloud computing and artificial intelligence of the present embodiment includes a main body;
the data acquisition module 100 is connected with the cloud computing analysis module 200 and is used for acquiring relevant information under network attack;
the cloud computing analysis module 200 is connected with the artificial intelligence processing module 300, and is used for analyzing and screening information with safety risk, comparing the danger information with information collected from the network in the network safety database 800, and searching the same information;
the artificial intelligence processing module 300 is connected with the central processing module 400, and is used for judging the level of the safety risk existing in the dangerous information, clearing or isolating the dangerous information according to the level of the safety risk, and automatically processing the repeated or similar dangerous information;
the central processing module 400 is connected with an alarm module 500 and used for receiving information and controlling other equipment to work;
the alarm module 500 is connected with a manual processing module 600 and is used for alarming at local and mobile terminals;
the manual processing module 600 is connected to the central processing module 400, and is used for manually processing the dangerous information when the system cannot process the dangerous information.
Referring to fig. 1, the present invention is used as follows, a data collection module 100 collects relevant information under network attack, a cloud computing analysis module 200 analyzes and screens information with security risk, compares the security risk information with information collected from a network in a network security database 800, and searches for the same information, an artificial intelligence processing module 300 determines the security risk level existing in the security risk information, and removes or isolates the security risk information according to the security risk level, and processes repeated or similar security information by itself when processing the same information, a central processing module 400 receives the information and controls other devices to work, an alarm module 500 alarms at local and mobile terminals, and an artificial processing module 600 processes the security risk information by human when the system cannot process the security risk information.
Fig. 2 is a schematic structural diagram of a second embodiment of the network security system based on cloud computing and artificial intelligence, please refer to fig. 2, which is different from the above embodiment;
the cloud computing analysis module 200 comprises a data analysis module 210, a data screening module 220 and a data comparison module 230, wherein the data analysis module 210 is connected with the data screening module 220, and the data screening module 220 is connected with the data comparison module 230;
in this embodiment, the data analysis module 210 analyzes whether there is dangerous information in the collected security data, the data filtering module 220 filters out information without safety risk and leaves information with possible safety risk, and the data comparison module 230 compares the dangerous information retained in the network security database 800 with the filtered information to find the same information.
Fig. 3 is a schematic structural diagram of a second embodiment of the network security system based on cloud computing and artificial intelligence, please refer to fig. 3, which is different from the above embodiment;
the artificial intelligence processing module 300 comprises a risk judgment module 310, a data clearing module 320, a data protection module 330 and a learning module 340, wherein the risk judgment module 310 is connected with the data clearing module 320 and the data protection module 330, and the risk judgment module 310 is connected with the learning module 340;
in this embodiment, the risk determining module 310 determines the level of the security risk in the risk information, and when the security risk is not encountered or the level of the security risk is too high, the data clearing module 320 is activated, otherwise, when the level of the security risk is not high, the data protecting module 330 is activated, the data clearing module 320 clears the risk information and deletes the related information contacted with the risk information, the data protecting module 330 isolates the risk information to prevent the risk information from being released from the network device 700, and the learning module 340 automatically processes the repeated or similar risk information;
fig. 4 is a schematic structural diagram of a second embodiment of a network security system based on cloud computing and artificial intelligence, please refer to fig. 4, which is different from the above embodiment;
the alarm module 500 comprises a communication module 510 and an acousto-optic alarm module, wherein the communication module 510 is used for uploading information to a remote end, and the acousto-optic alarm module is used for providing an acousto-optic alarm function;
in this embodiment, when a security risk is encountered, the communication module uploads information to the mobile terminal for alarm, and the sound and light alarm module 520 is in the local terminal for alarm.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (8)
1. A network security system based on cloud computing and artificial intelligence, comprising:
the data acquisition module (100) is connected with the cloud computing analysis module (200) and is used for acquiring relevant information under network attack;
the cloud computing analysis module (200) is connected with the artificial intelligence processing module (300) and is used for analyzing and screening information with safety risks, comparing the danger information with information collected from the network in the network safety database (800) and searching the same information;
the artificial intelligence processing module (300) is connected with the central processing module (400) and is used for judging the level of the safety risk existing in the dangerous information, clearing or isolating the dangerous information according to the level of the safety risk and automatically processing the repeated or similar dangerous information;
the central processing module (400) is connected with the alarm module (500) and is used for receiving information and controlling other equipment to work;
the alarm module (500) is connected with a manual processing module (600) and is used for alarming at local and mobile terminals;
and the manual processing module (600) is connected with the central processing module (400) and is used for manually processing the dangerous information when the system cannot process the dangerous information.
2. The cloud computing and artificial intelligence based network security system according to claim 1, wherein the cloud computing analysis module (200) comprises a data analysis module (210), a data screening module (220) and a data comparison module (230), the data analysis module (210) is connected with the data screening module (220), and the data screening module (220) is connected with the data comparison module (230).
3. The cloud computing and artificial intelligence based network security system of claim 2,
the data analysis module (210) is used for analyzing whether the acquired safety data contain dangerous information or not;
a data screening module (220) for screening out information that does not have a security risk, leaving information that may have a security risk;
and the data comparison module (230) is used for comparing the danger information reserved in the network security database (800) with the screened information and searching the same information.
4. The cloud computing and artificial intelligence based network security system according to claim 1, wherein the artificial intelligence processing module (300) comprises a risk judging module (310), a data clearing module (320), a data protection module (330) and a learning module (340), the risk judging module (310) is connected with the data clearing module (320) and the data protection module (330), and the risk judging module (310) is connected with the learning module (340).
5. The cloud computing and artificial intelligence based network security system of claim 4,
a risk judging module (310) for judging the level of the security risk in the danger information, when the security risk is not encountered or the security risk level is too high, the data clearing module (320) is started, otherwise, when the security risk is not high, the data protection module (330) is started;
the data clearing module (320) is used for clearing the dangerous information and deleting the related information contacted with the dangerous information;
the data protection module (330) is used for isolating the dangerous information and preventing the dangerous information from being released from the network equipment (700);
and the learning module (340) is used for providing a mechanical learning function and automatically processing repeated or similar dangerous information.
6. The cloud computing and artificial intelligence based network security system of claim 1, wherein the alarm module (500) comprises a communication module (510) and an audible and visual alarm module, the communication module (510) is used for uploading information to a remote end, and the audible and visual alarm module is used for providing an audible and visual alarm function.
7. A cloud computing and artificial intelligence based network security system according to claim 1, wherein a network security database (800) is connected to each of the cloud computing analysis module (200) and the central processing module (400), and a big data collection module (700) and a network device (700) are connected to the network security database (800).
8. The cloud computing and artificial intelligence based network security system of claim 7,
a big data collection module (700) for collecting information on the network regarding the hazards and related hazards;
and the network security database (800) is used for storing the collected danger information and the information related to the harm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111254010.4A CN114221779A (en) | 2021-10-27 | 2021-10-27 | Network security system based on cloud computing and artificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111254010.4A CN114221779A (en) | 2021-10-27 | 2021-10-27 | Network security system based on cloud computing and artificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114221779A true CN114221779A (en) | 2022-03-22 |
Family
ID=80696243
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111254010.4A Pending CN114221779A (en) | 2021-10-27 | 2021-10-27 | Network security system based on cloud computing and artificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114221779A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007069245A2 (en) * | 2005-12-13 | 2007-06-21 | Yoggie Security Systems Ltd. | System and method for providing network security to mobile devices |
| CN108494806A (en) * | 2018-05-29 | 2018-09-04 | 广西电网有限责任公司 | Cyberthreat warning monitoring system based on artificial intelligence |
| CN110881049A (en) * | 2019-12-16 | 2020-03-13 | 淮安信息职业技术学院 | Computer network safety intelligent control system |
| CN111770108A (en) * | 2020-07-09 | 2020-10-13 | 海南科技职业大学 | Network safety system based on artificial intelligence |
| CN112995161A (en) * | 2021-02-09 | 2021-06-18 | 王先峰 | Network security situation prediction system based on artificial intelligence |
| CN113194080A (en) * | 2021-04-25 | 2021-07-30 | 江苏欣业大数据科技有限公司 | Network security system based on cloud computing and artificial intelligence |
| CN113468530A (en) * | 2021-07-01 | 2021-10-01 | 南京工业大学 | Real-time risk management safety monitoring method based on cloud computing |
-
2021
- 2021-10-27 CN CN202111254010.4A patent/CN114221779A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007069245A2 (en) * | 2005-12-13 | 2007-06-21 | Yoggie Security Systems Ltd. | System and method for providing network security to mobile devices |
| CN108494806A (en) * | 2018-05-29 | 2018-09-04 | 广西电网有限责任公司 | Cyberthreat warning monitoring system based on artificial intelligence |
| CN110881049A (en) * | 2019-12-16 | 2020-03-13 | 淮安信息职业技术学院 | Computer network safety intelligent control system |
| CN111770108A (en) * | 2020-07-09 | 2020-10-13 | 海南科技职业大学 | Network safety system based on artificial intelligence |
| CN112995161A (en) * | 2021-02-09 | 2021-06-18 | 王先峰 | Network security situation prediction system based on artificial intelligence |
| CN113194080A (en) * | 2021-04-25 | 2021-07-30 | 江苏欣业大数据科技有限公司 | Network security system based on cloud computing and artificial intelligence |
| CN113468530A (en) * | 2021-07-01 | 2021-10-01 | 南京工业大学 | Real-time risk management safety monitoring method based on cloud computing |
Non-Patent Citations (1)
| Title |
|---|
| 杨博文;: "基于人工智能和物联网应用的网络安全管理", 电子技术与软件工程, no. 17 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110674772B (en) | Intelligent safety control auxiliary system and method for electric power operation site | |
| CN107154008B (en) | Method and system for processing emergency based on digital source plan | |
| CN106355580B (en) | Method and device for detecting toppling of tower | |
| CN101668291A (en) | Multifunctional multi-collection portable ID identifying device and method based on 3G network | |
| CN105243780A (en) | Child safety monitoring method and system | |
| CN103258050A (en) | System and method for controlling video information filtering based on semantic content | |
| CN109992484A (en) | A kind of network alarm correlation analysis, device and medium | |
| CN114359777A (en) | Building site environment monitoring and early warning method, device, equipment and storage medium | |
| CN108319582A (en) | Processing method, device and the server of text message | |
| CN112381435A (en) | Gridding directional pushing management method for dynamic risk in hydropower station operation process | |
| CN104574729A (en) | Alarming method, device and system | |
| KR20190076745A (en) | Method for controlling gate using machine learning | |
| CN114221779A (en) | Network security system based on cloud computing and artificial intelligence | |
| CN113657700A (en) | Mine safety production real-time monitoring method and system based on big data | |
| CN106850293A (en) | A kind of enterprise security operation centre Bot | |
| CN113194080A (en) | Network security system based on cloud computing and artificial intelligence | |
| CN113112744A (en) | Security management method and device, electronic equipment and storage medium | |
| CN113794819A (en) | Intelligent management method, system, device and medium for epidemic prevention place | |
| CN106022977A (en) | Transformer substation job site safety analysis method | |
| CN112885014A (en) | Early warning method, device, system and computer readable storage medium | |
| CN112967715A (en) | Fire fighting alarm handling method and device based on intelligent AI voice interaction algorithm | |
| CN110543825A (en) | Dangerous construction behavior identification method and device based on space-time characteristics | |
| CN111899138A (en) | Teaching behavior analysis system and method based on big data | |
| CN109447177B (en) | Account clustering method and device and server | |
| CN116701866A (en) | Park event linkage processing method based on Internet of things equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |