CN104378354A - Internet of things security model method based on classification - Google Patents
Internet of things security model method based on classification Download PDFInfo
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- CN104378354A CN104378354A CN201410550029.7A CN201410550029A CN104378354A CN 104378354 A CN104378354 A CN 104378354A CN 201410550029 A CN201410550029 A CN 201410550029A CN 104378354 A CN104378354 A CN 104378354A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
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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
- H04L63/1433—Vulnerability analysis
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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
- H04L63/1441—Countermeasures against malicious traffic
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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
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1042—Peer-to-peer [P2P] networks using topology management mechanisms
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- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Virology (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Computer And Data Communications (AREA)
Abstract
The invention provides an internet of things security model method based on classification, and relates to the technical field of internet of things security models. Three layers, namely, the perception layer, the network layer and the application layer, are included, wherein the perception layer is used for achieving the data collection function, the network layer is used for transmitting data, and the application layer is used for processing and applying the data. Active elements and passive elements are included, wherein the passive elements include a service data unit, a system hardware device and a sensitive data unit. The method includes the steps of firstly, analyzing application requirements; secondly, analyzing the network topology; thirdly, conducting attacking type prediction; fourthly, conducting security classification judgment. The method is clear in work division, the effect of the executive force can be brought into full play, the judgment on malicious instruction information can be automatically processed, the reasonable attacking target of an attacker can be effectively found, and then the probability and strength of the attack to which the type of application may be subjected are predicted.
Description
Technical field:
The present invention relates to Internet of Things security model technical field, be specifically related to a kind of method of the Internet of Things security model based on grade classification.
Background technology:
Internet of Things is the important component part of generation information technology, and its English name is: " TheInternet of things ".As its name suggests, Internet of Things is exactly the Internet that thing thing is connected.This has the two-layer meaning: one, and core and the basis of Internet of Things remain the Internet, is the network of extension on Internet basic and expansion; Its two, its user side extend and extend between any article and article, carry out information exchange and communicate.Internet of Things is exactly " the Internet that thing thing is connected ".Internet of Things by Intellisense, recognition technology and general fit calculation, be widely used in the fusion of network, be also therefore called as the third wave of after computer, the Internet world information industry development.Internet of Things is the application extension of the Internet, Internet of Things is network, not equal to Internet of Things is business and application.Therefore, application innovation is the core of Internet of Things development, is that the innovation 2.0 of core is the soul that Internet of Things develops with Consumer's Experience.
Point definition alive: utilize the communication technology such as localized network or the Internet that transducer, controller, machine, personnel and thing etc. are linked togather by new mode, forms people and thing, thing and thing are connected, and realizes informationization, remote management and control and intelligentized network.Internet of Things is the extension of the Internet, and it comprises resources all on the Internet and the Internet, the application that compatible the Internet is all, but element all in Internet of Things (all equipment, resource and communication etc.) is all personalized and privatization.
Internet of Things is defined as the combination of nearly all technology and computer, Internet technology instantly by Internet of Things school-run enterprise alliance of China, realizes between object and object: environment and the real-time Real-Time Sharing of state information and intelligentized collection, transmission, process, execution.Inventionbroadly, instantly relate to the application of information technology, the category of Internet of Things can be included in.
Internet of Things refers to by various information sensing equipment, and any information needing the various needs such as monitoring, connection, interactive object or process of Real-time Collection, is combined the huge network formed with the Internet.Its objective is and realize thing and thing, thing and people, all article and the connection of network, convenient identification, management and control.Its at the industry size of 2011 more than 2,600 hundred million yuans.Supporting layer, sensing layer, transport layer, the podium level of construct Networking industries five levels, and application layer accounts for 2.7%, 22.0%, 33.1%, 37.5% and 4.7% of Internet of Things industry size respectively.And thing network sensing layer, transport layer participation manufacturer is numerous, becomes in industry and compete field the fiercest.
Summary of the invention:
The object of this invention is to provide a kind of method of the Internet of Things security model based on grade classification, its division of labor is clear and definite, the effect of implementation capacity can be given full play to, it can be applicable to each large Internet of Things, it can automatic business processing to the judgement of malicious instructions information, effectively can find the reasonable target of attack of assailant, and then predict the probability that this type of application may be attacked and intensity, coefficient of safety is high.
In order to solve the problem existing for background technology, the present invention is by the following technical solutions: it is made up of 3 levels: the sensing layer 1, being used for carrying out data acquisition function; 2, the network layer of transfer of data is used for carrying out; 3, data to be processed and the application layer applied; It is divided into active active element and passive element; Active active element comprises keeper and user, and passive element comprises service data unit, system hardware equipment, sensitive data unit; During operation, first application demand is analyzed, then network topology is analyzed, carry out attack type prediction, finally carry out safe class judgement.
Present invention incorporates sensing technology, the communication technology, wireless technology, these technology of network technology, grade classification is carried out to data, it is a kind of RFID technology, based on simple R FID system, in conjunction with existing network technology, database technology, middleware Technology etc., construct one to be made up of the label of the reader of networking in a large number and countless movement, the Internet of Things more huger than Internet becomes the trend of RFID technique development, Internet of Things is of many uses, throughout intelligent transportation, environmental protection, government work, public safety, safety home, intelligent fire, industry monitoring, old man nurses, multiple field such as personal health.
The present invention has following beneficial effect: its division of labor is clear and definite, the effect of implementation capacity can be given full play to, it can be applicable to each large Internet of Things, it can automatic business processing to the judgement of malicious instructions information, effectively can find the reasonable target of attack of assailant, and then predict the probability that this type of application may be attacked and intensity, coefficient of safety is high.
Embodiment:
This embodiment is by the following technical solutions: it comprises and is made up of 3 levels: the sensing layer 1, being used for carrying out data acquisition function; 2, the network layer of transfer of data is used for carrying out; 3, data to be processed and the application layer applied; It is divided into active active element and passive element; Active active element comprises keeper and user, and passive element comprises service data unit, system hardware equipment, sensitive data unit; During operation, first application demand is analyzed, then network topology is analyzed, carry out attack type prediction, finally carry out safe class judgement.
This embodiment combines sensing technology, the communication technology, wireless technology, these technology of network technology, grade classification is carried out to data, it is a kind of RFID technology, based on simple R FID system, in conjunction with existing network technology, database technology, middleware Technology etc., construct one to be made up of the label of the reader of networking in a large number and countless movement, the Internet of Things more huger than Internet becomes the trend of RFID technique development, Internet of Things is of many uses, throughout intelligent transportation, environmental protection, government work, public safety, safety home, intelligent fire, industry monitoring, old man nurses, multiple field such as personal health.
This embodiment has following beneficial effect: its division of labor is clear and definite, the effect of implementation capacity can be given full play to, it can be applicable to each large Internet of Things, it can automatic business processing to the judgement of malicious instructions information, effectively can find the reasonable target of attack of assailant, and then predict the probability that this type of application may be attacked and intensity, coefficient of safety is high.
Claims (2)
1. based on a method for the Internet of Things security model of grade classification, it is characterized in that it is made up of three levels: (1), be used for carrying out the sensing layer of data acquisition function; (2) network layer of transfer of data, is used for carrying out; (3), data to be processed and the application layer applied; It is divided into active active element and passive element; Active active element comprises keeper and user, and passive element comprises service data unit, system hardware equipment, sensitive data unit; During operation, first application demand is analyzed, then network topology is analyzed, carry out attack type prediction, finally carry out safe class judgement.
2. the method for a kind of Internet of Things security model based on grade classification according to claim 1, it is characterized in that described it combines sensing technology, the communication technology, wireless technology, these technology of network technology, grade classification is carried out to data, it is a kind of RFID technology, based on simple R FID system, in conjunction with existing network technology, database technology, middleware Technology etc., construct one and to be made up of the label of the reader of networking in a large number and countless movement.
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| CN201410550029.7A CN104378354A (en) | 2014-10-16 | 2014-10-16 | Internet of things security model method based on classification |
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| CN201410550029.7A CN104378354A (en) | 2014-10-16 | 2014-10-16 | Internet of things security model method based on classification |
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| CN104378354A true CN104378354A (en) | 2015-02-25 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109714346A (en) * | 2015-12-15 | 2019-05-03 | 北京奇虎科技有限公司 | The checking and killing method and device of backdoor file |
| CN110460526A (en) * | 2019-06-29 | 2019-11-15 | 天津大学 | A kind of communication means of the internet of things networking data acquisition distribution for content oriented |
| CN110865596A (en) * | 2019-11-21 | 2020-03-06 | 江苏道博信息技术有限公司 | Raise dust on-line monitoring and management and control system |
| CN113395308A (en) * | 2020-03-13 | 2021-09-14 | 昆山恒禾隆智能化系统有限公司 | Intelligent security system and method for Internet of things |
| CN114826742A (en) * | 2022-04-28 | 2022-07-29 | 江苏徐工工程机械研究院有限公司 | Communication safety system and authentication method for engineering machinery Internet of things sensing layer network |
-
2014
- 2014-10-16 CN CN201410550029.7A patent/CN104378354A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109714346A (en) * | 2015-12-15 | 2019-05-03 | 北京奇虎科技有限公司 | The checking and killing method and device of backdoor file |
| CN109714346B (en) * | 2015-12-15 | 2021-06-25 | 北京奇虎科技有限公司 | Searching and killing method and device for back door files |
| CN110460526A (en) * | 2019-06-29 | 2019-11-15 | 天津大学 | A kind of communication means of the internet of things networking data acquisition distribution for content oriented |
| CN110460526B (en) * | 2019-06-29 | 2021-08-10 | 天津大学 | Communication method for content-oriented networking data acquisition and distribution of Internet of things |
| CN110865596A (en) * | 2019-11-21 | 2020-03-06 | 江苏道博信息技术有限公司 | Raise dust on-line monitoring and management and control system |
| CN113395308A (en) * | 2020-03-13 | 2021-09-14 | 昆山恒禾隆智能化系统有限公司 | Intelligent security system and method for Internet of things |
| CN114826742A (en) * | 2022-04-28 | 2022-07-29 | 江苏徐工工程机械研究院有限公司 | Communication safety system and authentication method for engineering machinery Internet of things sensing layer network |
| CN114826742B (en) * | 2022-04-28 | 2023-07-28 | 江苏徐工工程机械研究院有限公司 | Communication security system and authentication method for engineering machinery internet of things perception layer network |
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Application publication date: 20150225 |