CN108173978A - Unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address - Google Patents
Unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address Download PDFInfo
- Publication number
- CN108173978A CN108173978A CN201711184033.6A CN201711184033A CN108173978A CN 108173978 A CN108173978 A CN 108173978A CN 201711184033 A CN201711184033 A CN 201711184033A CN 108173978 A CN108173978 A CN 108173978A
- Authority
- CN
- China
- Prior art keywords
- unmanned plane
- mac address
- smart machine
- parsing
- detection
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/622—Layer-2 addresses, e.g. medium access control [MAC] addresses
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a kind of unmanned plane detection methods based on smart machine parsing Wi Fi MAC Address, mainly solve the problems, such as that existing unmanned plane detection method is complicated, of high cost and detection performance is insufficient, implementation step is：Wi Fi beacon frames in space are captured by smart machine, parse the MAC Address of information source in the Wi Fi beacon frames captured；The MAC Address list obtained using parsing, realize the detection of unmanned plane, in the case of the MAC Address field of known unmanned plane producer, using the method for MAC Address prefix matching, in the case of the MAC Address field of unknown unmanned plane producer, using multiple smart machine collaborative perceptions, the method for detection；The present invention takes full advantage of unmanned plane in flight course, it needs to carry out the characteristic of image video signal transmission and the function of smart machine support Wi Fi connections in real time, unmanned machine testing is completed by parsing, matching MAC Address, testing cost and complexity are significantly reduced, there is important application value in unmanned plane detection field.
Description
Technical field
The invention belongs to target detection technique fields more particularly to low-altitude low-velocity small targets to detect, specifically a kind of to be based on
Smart machine parses the unmanned plane detection method of Wi-Fi MAC Address.
Background technology
In recent years, the Small Civil unmanned plane market based on multi-rotor unmanned aerial vehicle increases with having welcome blowout, nobody
Machine has been widely used the multiple fields such as industrial, military, civilian.However, the rapid growth in unmanned plane market also brings safety
The problem of in terms of privacy, " black to fly ", " indiscriminate to fly " event of unmanned plane at home and abroad frequently occur, and seriously endanger individual privacy peace
Entirely, public place safety, aviation safety and national security.As it can be seen that " black to fly ", " indiscriminate to fly " thing to cope with the unmanned plane to take place frequently
Part challenge caused by individual and public safety carries out the unmanned plane for invading specific region timely, effective detection and has compeled
It is as pressing as a fire singeing one's eyebrows.
Generally for the detection of flyer, there is three classes method, be based on radar respectively, regarded based on infrared or video camera etc.
Feel equipment and the detection method based on audio frequency apparatuses such as microphone arrays.However these methods cannot be well adapted at present it is right
In the demand of unmanned machine testing.Firstly, because unmanned plane build is smaller, effective signal reflex area very little so that radar
Echo-signal energy very little, be easily submerged in noise.Secondly, unmanned plane is haunt about in urban environment, radar system
Itself very strong electromagnetic radiation, it is difficult to be arranged in city.In addition, unmanned plane can be with low-latitude flying so that infrared or video camera
Etc. visual apparatus sight easily by trees, building etc. is blocked.Furthermore due to the sound noise in space, the sound of unmanned plane
The signal-to-noise ratio of frequency signal is relatively low so that the audio frequency apparatuses such as microphone array are difficult to detect.On the other hand, unmanned plane is in flight course
In, in order to which winged hand is made to recognize the information such as the position of unmanned plane, height and is preferably taken photo by plane, can be sent out in real time to winged hand
Send vision signal.Most of unmanned planes are all using Wi-Fi technology come transmitter vision signal.And smart machine has perception Wi-
The ability of Fi signals, and the Wi-Fi signal in space can be parsed.In conclusion Wi-Fi is believed using smart machine
Number sensing capability detect unmanned plane with good feasibility.
Invention content
It is an object of the invention to be directed to, existing unmanned plane detection technique system complex, of high cost and detection performance is insufficient
The problem of, propose a kind of unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address.This method is on the one hand abundant
Using unmanned plane in flight course, need to carry out the characteristic of image video signal transmission in real time；On the other hand it makes full use of
Smart machine supports the function of Wi-Fi connection.It is proposed by the present invention based on smart machine parsing Wi-Fi MAC Address nobody
Machine testing method does not need to dedicated detection device, of low cost, easy to detect, convenient for being widely popularized, can be effectively performed
Unmanned machine testing.
The purpose of the present invention is achieved through the following technical solutions：One kind is based on smart machine parsing Wi-Fi MAC
The unmanned plane detection method of address, comprises the steps of：
(1) the Wi-Fi beacon frame in space is captured by smart machine, parses information source in the Wi-Fi beacon frame captured
MAC Address；
(2) the MAC Address list obtained using step (1) parsing, realizes the detection of unmanned plane, including：
In the case of the MAC Address field of known unmanned plane producer, using the method for MAC Address prefix matching, specifically
Ground, MAC Address one shares 48, and its first 24 are tissue unique identifier, is distributed by the registration management general mechanism of IEEE；
Organize unique identifier unique mark producer；Thus, if in the MAC Address list that parsing obtains, there are first 24 and nothings
The MAC Address for organizing unique identifier identical of man-machine producer, then prefix matching success, illustrates to detect unmanned plane；
If can not know the MAC Address of unmanned plane in advance, may be used multiple smart machine collaborative perceptions, detection
Method；Specifically, the difference using other wireless access point such as unmanned plane and router in mobility, it is same by collecting
In period, the data of multiple mutual distance users farther out, then check in the data of these users whether have it is certain identical
MAC Address, if so, then illustrate the MAC Address be unmanned plane MAC Address, so as to fulfill detection；
If not detecting unmanned plane, step (1) is jumped to, continues to record Wi-Fi beacon frame.
Further, the smart machine should also have the function of the beacon frame that SSID is hidden in parsing.
Compared with the prior art, the present invention has the following advantages：
(1) present invention realizes unmanned machine testing using smart machine, of low cost without special inspecting equipment；
(2) present invention, which takes full advantage of, makes full use of unmanned plane in flight course, needs to carry out image/video in real time
The characteristic and smart machine of signal transmission support the function of Wi-Fi connection, nobody is completed by parsing, matching MAC Address
Machine testing, it is easy to detect, reduce system complexity.
Description of the drawings
Fig. 1 is the method flow block diagram of the present invention.
Fig. 2 is the MAC matching process schematic diagrames of the present invention.
Specific embodiment
Referring to the drawings, technical solutions and effects of the present invention is described in further detail.
Detection for unmanned plane, traditional method mainly have three kinds of radar, video, audio methods.And these methods exist
Under the scene of unmanned machine testing, there are some limitations.The present invention considers unmanned plane in flight course, for the ease of flying hand
It preferably takes photo by plane or preferably the state of flight of control unmanned plane, unmanned plane all can send video to winged hand in real time
Information.And at present on the market, wireless video transmission used in most of unmanned planes is based on Wi-Fi technology.For nobody
Wi-Fi technology used by machine specifically, there are one Wi-Fi modules in unmanned plane, functions as an access point；
In order to inform its presence of other nodes, the Wi-Fi module on unmanned plane can constantly broadcast its beacon frame.It is included in beacon frame
Its own MAC Address.The present invention is exactly to obtain Wi-Fi beacon frame using smart machine, and pass through in identification beacon frame
MAC Address detects unmanned plane, and with reference to Fig. 1, realization step of the invention is as follows：
Step 1：Wi-Fi analysis softwares are installed on smart machine, which, which should have, obtains Wi-Fi lists, and can solve
The function of MAC Address in Wi-Fi beacon frame is precipitated.Particularly, in order to cope with the situation that access point hides itself SSID, Wi-Fi
Analysis software should also have the beacon frame for obtaining the access point for hiding SSID, and can parse the function of its MAC Address.
Step 2：The WLAN functions on smart machine are opened, and open the Wi-Fi analysis softwares on smart machine, are recorded
Wi-Fi beacon frame in space.
Step 3：Parse the MAC Address in the beacon frame captured.According to 802.11 standard, 3 are included in beacon frame
MAC Address field, wherein first is FF:FF:FF:FF:FF:FF, i.e. broadcast address, behind two address fields it is identical, be
The MAC Address of information source.It is the MAC Address of the Wi-Fi module on unmanned plane in the scene of unmanned machine testing.Therefore, it is necessary to
Using Wi-Fi analysis softwares, the MAC Address of information source is parsed.
Step 4：By the MAC Address parsed in step 2, unmanned machine testing is carried out.The process being detected, root
According to whether known unmanned plane producer MAC Address can be divided into two kinds of situations.The first situation is to be aware of unmanned plane producer in advance
MAC Address field.In such a case, it is possible to using the MAC Address list being resolved in step 2, with unmanned plane producer
MAC fields are compared；Because usually, there is a MAC Address of fixed field in unmanned plane producer, in MAC Address, preceding 24
Position is fixed, such as the product of Shenzhen Dajiang Innovation Technology Co., Ltd., fixed field 60:60:1F.So if
It was found that first 24 of the MAC Address being resolved to identical with the fixed field of unmanned plane producer MAC Address, it can be said that bright detect
Unmanned plane.The second situation is can not to know the MAC Address field of unmanned plane producer in advance.In such a case, it is possible to it utilizes
Unmanned plane and difference of the router in mobility, and pass through multiple smart machines and cooperate to examine unmanned plane
It surveys.Specifically, it is contemplated that unmanned plane constantly moves in flight course, thus fixed, quiet compared to router etc.
The wireless access point of state, unmanned plane have very strong mobility.This allows for the user on the longer flight path of unmanned plane
The beacon frame of unmanned plane can be received, and then obtains its MAC Address.And a fixed, static router, covering
It is limited in scope, usually at 50 meters or so.As user and gradually remote router distance, due to the attenuation of wireless signal, the user without
Method receives the beacon frame of the router.Although at this time from the data of single user, it is not known which MAC Address is exactly nothing
Man-machine, still, by collecting in the same period, then the data of multiple mutual distance users farther out check these use
In the data at family, either with or without certain identical MAC Address.If so, then illustrate the MAC Address that the MAC Address is unmanned plane, from
And realize detection.
If not detecting unmanned plane, step 1 is jumped to, continues to record Wi-Fi beacon frame.When artificial decision terminates
During detection, system is closed, jumps out cycle.
In conclusion present invention mainly solves existing unmanned plane detection technique system complex, of high cost and detection property
Can be insufficient the problem of, unmanned plane is on the one hand made full use of in flight course, needs to carry out image video signal transmission in real time
Characteristic；On the other hand the function that smart machine supports Wi-Fi connection is taken full advantage of.It is proposed by the present invention to be based on smart machine
The unmanned plane detection method of Wi-Fi MAC Address is parsed, does not need to dedicated detection device, it is of low cost, it is easy to detect, it is convenient for
It is widely popularized, unmanned machine testing can be effectively performed.
Claims (2)
1. a kind of unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address, which is characterized in that include following step
Suddenly：
(1) the Wi-Fi beacon frame in space is captured by smart machine, parses the MAC of information source in the Wi-Fi beacon frame captured
Address；
(2) the MAC Address list obtained using step (1) parsing, realizes the detection of unmanned plane, including：
In the case of the MAC Address field of known unmanned plane producer, using the method for MAC Address prefix matching, if step
(1) in the obtained MAC Address list of parsing, there are the MAC Address that organize unique identifier identical of prefix and unmanned plane producer,
Then prefix matching success, illustrates to detect unmanned plane；
In the case of the MAC Address field of unknown unmanned plane producer, using multiple smart machine collaborative perceptions, the side of detection
Method using the mobility of unmanned plane, by collecting the data of multiple mutual distance users farther out in the same period, checks
Whether identical MAC Address is had in the data of these users, if so, then illustrate the MAC Address that the MAC Address is unmanned plane,
Illustrate to detect unmanned plane；
If not detecting unmanned plane, step (1) is jumped to, continues to record Wi-Fi beacon frame.
2. a kind of unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address according to claim 1,
It is characterized in that, the smart machine should also have the function of the beacon frame that SSID is hidden in parsing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711184033.6A CN108173978A (en) | 2017-11-23 | 2017-11-23 | Unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711184033.6A CN108173978A (en) | 2017-11-23 | 2017-11-23 | Unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108173978A true CN108173978A (en) | 2018-06-15 |
Family
ID=62527558
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711184033.6A Pending CN108173978A (en) | 2017-11-23 | 2017-11-23 | Unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108173978A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111142069A (en) * | 2019-12-19 | 2020-05-12 | 任子行网络技术股份有限公司 | Unmanned aerial vehicle detection positioning device, system and method |
| CN112104979A (en) * | 2020-08-24 | 2020-12-18 | 浙江云合数据科技有限责任公司 | User track extraction method based on WiFi scanning record |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105739531A (en) * | 2016-03-10 | 2016-07-06 | 赛度科技（北京）有限责任公司 | Unmanned plane control system based on unmanned plane air management platform |
| CN106131849A (en) * | 2016-06-23 | 2016-11-16 | 深圳市百米生活股份有限公司 | The detection of a kind of rogue AP in wireless network and blocking-up method |
| CN106877947A (en) * | 2017-01-20 | 2017-06-20 | 浙江大学 | A kind of radio-frequency channel parallel detection device and method of unmanned plane |
| CN106998324A (en) * | 2017-03-14 | 2017-08-01 | 杭州电子科技大学 | A kind of unmanned plane ID recognition methods |
| US20170234724A1 (en) * | 2016-02-17 | 2017-08-17 | Qualcomm Incorporated | Device for uav detection and identification |
| CN107276661A (en) * | 2017-07-25 | 2017-10-20 | 陕西师范大学 | A kind of method and system searched and rescued based on unmanned aerial vehicle group |
| US9805273B1 (en) * | 2016-11-08 | 2017-10-31 | Dedrone Holdings, Inc. | Systems, methods, apparatuses, and devices for identifying and tracking unmanned aerial vehicles via a plurality of sensors |
-
2017
- 2017-11-23 CN CN201711184033.6A patent/CN108173978A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170234724A1 (en) * | 2016-02-17 | 2017-08-17 | Qualcomm Incorporated | Device for uav detection and identification |
| CN105739531A (en) * | 2016-03-10 | 2016-07-06 | 赛度科技（北京）有限责任公司 | Unmanned plane control system based on unmanned plane air management platform |
| CN106131849A (en) * | 2016-06-23 | 2016-11-16 | 深圳市百米生活股份有限公司 | The detection of a kind of rogue AP in wireless network and blocking-up method |
| US9805273B1 (en) * | 2016-11-08 | 2017-10-31 | Dedrone Holdings, Inc. | Systems, methods, apparatuses, and devices for identifying and tracking unmanned aerial vehicles via a plurality of sensors |
| CN106877947A (en) * | 2017-01-20 | 2017-06-20 | 浙江大学 | A kind of radio-frequency channel parallel detection device and method of unmanned plane |
| CN106998324A (en) * | 2017-03-14 | 2017-08-01 | 杭州电子科技大学 | A kind of unmanned plane ID recognition methods |
| CN107276661A (en) * | 2017-07-25 | 2017-10-20 | 陕西师范大学 | A kind of method and system searched and rescued based on unmanned aerial vehicle group |
Non-Patent Citations (2)
| Title |
|---|
| V. ACUNA, A. KUMBHAR, E. VATTAPPARAMBAN, F. RAJABLI: "Localization of WiFi Devices Using Probe Requests", 《2017 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)》 * |
| 刘静超: "基于Android的小型无人机地面站研究与设计", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111142069A (en) * | 2019-12-19 | 2020-05-12 | 任子行网络技术股份有限公司 | Unmanned aerial vehicle detection positioning device, system and method |
| CN112104979A (en) * | 2020-08-24 | 2020-12-18 | 浙江云合数据科技有限责任公司 | User track extraction method based on WiFi scanning record |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10621443B2 (en) | Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles | |
| US10025993B2 (en) | Systems, methods, apparatuses, and devices for identifying and tracking unmanned aerial vehicles via a plurality of sensors | |
| US10317506B2 (en) | Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles | |
| US10025991B2 (en) | Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles | |
| Schauer et al. | Estimating crowd densities and pedestrian flows using wi-fi and bluetooth | |
| US11800062B2 (en) | Systems, methods, apparatuses, and devices for radar-based identifying, tracking, and managing of unmanned aerial vehicles | |
| CN109076191B (en) | Monitoring system, method, non-transitory computer-readable medium, and control unit | |
| CN102438238A (en) | Method for detecting illegal AP (Assembly Program) under centralized WLAN (Wireless Local Area Network) environment | |
| US20170039413A1 (en) | Commercial drone detection | |
| CN112068111A (en) | Unmanned aerial vehicle target detection method based on multi-sensor information fusion | |
| KR102292117B1 (en) | Drone control system and method for detecting and identifying of drone using the same | |
| CN106714166A (en) | Anti-UAV method based on user authentication | |
| US11762076B2 (en) | Methods and systems for detecting and passively monitoring communications of an unmanned aerial vehicle | |
| CN107403536A (en) | A kind of civilian unmanned plane attack early warning method based on wireless signal strength analysis | |
| CN102710341A (en) | Ingenious examination room radio cheating counter measure equipment | |
| CN105405260A (en) | Antitheft system and antitheft method based on wireless signals | |
| CN112000133A (en) | Low-altitude aircraft/flyer identification system, counter-braking system and identification method | |
| CN108173978A (en) | Unmanned plane detection method based on smart machine parsing Wi-Fi MAC Address | |
| CN113220010A (en) | Intelligent prevention and control system for unmanned aerial vehicle | |
| CN106230544A (en) | The monitoring identification of a kind of automobile remote-control interference signal and localization method | |
| Bisio et al. | Improving WiFi statistical fingerprint-based detection techniques against UAV stealth attacks | |
| CN111505620A (en) | Unmanned aerial vehicle detection system and detection method | |
| CN107295520B (en) | The method of infrared assisted lookup pseudo-base station | |
| CN110139300B (en) | Unmanned aerial vehicle detection method based on wireless device configuration information identification | |
| US11582600B2 (en) | Secure radio frequency-based imaging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180615 |