CN111181656B - Hidden information transmission method and transmission system based on biological cry - Google Patents
Hidden information transmission method and transmission system based on biological cry Download PDFInfo
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- CN111181656B CN111181656B CN202010016962.1A CN202010016962A CN111181656B CN 111181656 B CN111181656 B CN 111181656B CN 202010016962 A CN202010016962 A CN 202010016962A CN 111181656 B CN111181656 B CN 111181656B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B11/00—Transmission systems employing sonic, ultrasonic or infrasonic waves
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/018—Audio watermarking, i.e. embedding inaudible data in the audio signal
Abstract
The invention discloses a method for calling based on biologyThe hidden information transmission method and the transmission system, wherein the transmission method comprises the following steps: 1. the sending end collects the biological sound pulse signal x (t) and extracts the envelope es(t); 2. obtaining es(t) the time range of each biological sound pulse; 3. when the ith code element to be sent is 'B1', the ith biological sound pulse signal x in x (t) is senti(t) embedding an identification signal; when the ith symbol to be transmitted is "B2", xi(t) the signal is not processed; 4. the transmitting end transmits the processed biological sound signal; 5. the receiving end extracts an envelope e from the received biological cry signal y (t)r(t) obtaining the time range of each biological sound pulse; 6. for each biological sound pulse y in y (t)j(t) judging whether embedded information exists, if so, the jth code element sent by the sending end is 'B1'; if there is no embedded information, the jth symbol is "B2". The method can meet the requirement of transmitting the hidden information in a specific occasion, and reduces the probability of intercepting the secret information by hiding the communication behavior.
Description
Technical Field
The invention belongs to the technical field of bioacoustic communication, and particularly relates to a method and a system for transmitting hidden information by using bioacounseling.
Background
With the rapid development of the information age, the traditional information security technology cannot effectively conceal information, and the encryption technology is more likely to attract the attention of attackers. Compared with the traditional encryption technology, the information hiding technology has the advantages that a layer of means for confusing attackers is added, and the safety is higher.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a method for transmitting hidden information by using a biological cry, which can meet the requirement of transmitting the hidden information in a specific occasion and reduce the probability of intercepting the secret information by hiding a communication behavior.
The technical scheme is as follows: the invention discloses a hidden information transmission method based on biological cry, which comprises the following steps:
(1) the method comprises the steps that a hidden information sending end collects a biological cry pulse signal x (T) with the time length of T, envelope is extracted from the collected signal, and a biological cry envelope signal e is obtaineds(t); the number of the biological call sounds contained in the time T is more than or equal to the number of code elements in the binary code stream to be sent;
(2) obtaining e through threshold judgments(t) time range of each biological sound pulse
Respectively setting the starting time and the ending time of the ith biological sound pulse;
(3) when the ith code element in the binary code stream to be transmitted is 'B1', the biological sound pulse signal collected in the step 1 is processed
Signal x in rangei(t) embedding an identification signal awi(t)；
The identification signal awiThe generation steps are as follows: for xi(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum X of the frequency rangei(f) (ii) a Construction of frequency response as 1-Xi(f) Filter f ofi(ii) a Generating a random signal a using a random signal generatori(t); using filters fiFor random signal ai(t) filtering to obtain an identification signal awi(t)；
The biological sound pulse signal after embedding the identification signal is: si(t)＝xi(t)+p·awi(t)；
When the ith code element in the binary code stream to be transmitted is 'B2', the biological sound pulse signal collected in the step 1
Signals within the range are not processed;
(4) the transmitting end transmits the biological sound signal processed in the step 3;
(5) the hidden information receiving end extracts the envelope of the received biological cry signal y (t) to obtain an envelope signal er(t); obtaining e through threshold judgmentr(t) time range of each biological sound pulse
Respectively setting the starting time and the ending time of the jth biological sound pulse; 0<J is less than or equal to J; j is the number of received biological calls;
(6) for each biological sound pulse y in y (t)j(t) judging whether embedded information exists, wherein the judging step is as follows: for yj(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum Y of the frequency rangej(f) (ii) a Build a frequency response of 1-Yj(f) Filter of
Use of
For yj(t) filtering to obtain a filtered signal ywj(t); generating a random signal a using a random signal generator synchronized with a transmitting endj(t); using filters
For random signal aj(t) filtering to obtain an identification signal
For ywj(t) and
synchronous sampling is carried out, and a correlation coefficient R at each sampling point is calculatedj(n)，0<n<Ns，NsIs the total number of sampling points, if RjMaximum value R of (n)maxIf the number of the received j biological sound pulse signals is more than or equal to 0.5, the receiving end receives the j biological sound pulse signals, and the j code element sent by the sending end is 'B1'; if R ismax<0.5, no embedded information exists in the jth biological sound pulse signal received by the receiving end, and the jth code element sent by the sending end is 'B2'.
On the other hand, the invention discloses a transmission system for realizing the hidden information transmission method, which comprises a sending end and a receiving end, wherein the sending end comprises:
the biological voice pulse signal acquisition module is used for acquiring a biological voice pulse signal x (t), wherein the biological voice number contained in the x (t) is more than or equal to the number of code elements in a binary code stream to be transmitted;
a transmitting end envelope extraction module for extracting the envelope e of the signal x (t)s(t)；
A sending end pulse detection module for obtaining es(t) start time and end time of each biological sound pulse
An embedded identification signal module for judging whether to perform the ith biological sound pulse x in x (t) according to the ith code element in the binary code stream to be transmittedi(t) embedding a logo; when the ith symbol in the binary code stream to be transmitted is "B1", for signal xi(t) embedding an identification signal awi(t); the identification signal awiThe generation steps are as follows: for xi(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum X of the frequency rangei(f) (ii) a Construction of frequency response as 1-Xi(f) Filter f ofi(ii) a Generating a random signal a using a first random signal generatori(t); using filtersWave filter fiFor random signal ai(t) filtering to obtain an identification signal awi(t)；
The biological sound pulse signal after embedding the identification signal is: si(t)＝xi(t)+p·awi(t)；
When the ith code element in the binary code stream to be transmitted is 'B2', the biological sound pulse signal
Signal x in rangei(t) not processing;
the transmitting module is used for transmitting the biological sound signal processed by the embedded identification signal module;
the receiving end includes:
the biological sound-calling pulse signal receiving module is used for receiving a biological sound-calling signal y (t);
a receiving end envelope extraction module for extracting the envelope e of the signal y (t)r(t)；
A receiving end pulse detection module for obtaining er(t) start time and end time of each biological sound pulse
An embedded identification signal detection module for judging each biological sound pulse y in y (t)j(t) whether embedded information exists, the judging step is: for yj(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum Y of the frequency rangej(f) (ii) a Build a frequency response of 1-Yj(f) Filter of
Use of
For yj(t) filtering the received signal to obtain a filtered signal,obtaining a filtered signal ywj(t); generating a random signal a using a second random signal generator synchronized with a first random signal generator of a transmitting endj(t); using filters
For random signal aj(t) filtering to obtain an identification signal
For ywj(t) and
synchronous sampling is carried out, and a correlation coefficient R at each sampling point is calculatedj(n)，0<n<Ns，NsIs the total number of sampling points, if RjMaximum value R of (n)maxIf the number of the received j biological sound pulse signals is more than or equal to 0.5, the receiving end receives the j biological sound pulse signals, and the j code element sent by the sending end is 'B1'; if R ismax>0.5, no embedded information exists in the jth biological sound pulse signal received by the receiving end, and the jth code element sent by the sending end is 'B2'.
Has the advantages that: compared with the prior art, the invention transmits information by using the biological cry, has strong concealment and hides the communication signal; in the information transmission process, information is embedded in an area with high energy of the sound signal and is consistent with the frequency interval of the sound signal in the frequency range, so that the attention of an attacker is not easy to draw; according to the frequency spectrum characteristics of the signals, the embedded signals with the reverse frequency spectrum characteristics are constructed and form orthogonality with the biological sound signals, and the embedded signals have the advantages of being high in anti-interference capacity and capable of improving information transmission reliability.
Drawings
FIG. 1 is a flow chart of a method for transmitting hidden information based on biological cry disclosed by the invention;
FIG. 2 is a time domain waveform diagram of a biological chirped pulse signal collected by a hidden information sending end in an embodiment;
FIG. 3 is a waveform diagram of an envelope of a biological chirped pulse signal according to an embodiment;
FIG. 4 is a waveform diagram of a first biological chirped pulse signal collected by a receiving end in the embodiment;
FIG. 5 is a spectrum diagram of a first biological sound pulse signal in the embodiment;
fig. 6 is a filter with specific inverted spectral characteristics constructed at the transmitting end in the embodiment;
FIG. 7 is a spectrum diagram of an identification signal generated in an embodiment;
FIG. 8 is a waveform diagram of the biological chirped pulse signal after embedding the identification signal;
FIG. 9 is a waveform diagram of correlation coefficients calculated when the receiving end determines whether there is an embedded signal;
fig. 10 is a block diagram of a hidden information transmission system according to the present disclosure.
Detailed Description
The invention is further elucidated with reference to the drawings and the detailed description.
As shown in fig. 1, this embodiment takes transmitting binary code stream [ 101001 ] as an example to explain the hidden information transmission method disclosed in the present invention, which includes:
in this embodiment, bird sounds are used, as shown in fig. 2, 12 bird sounds are collected, which is greater than 6 symbols to be transmitted, each bird sound is a high-frequency pulse signal, and a period of time is left between the bird sounds. X (t) is filtered by a double α filter with a coefficient α of 0.001, and an envelope signal is extracted, as shown in fig. 3.
In step 3, two basic symbols of the binary code are B1 and B2, where B1 is defined as 1 and B2 is defined as 0 in this embodiment. When the ith code element in the binary code stream to be transmitted is '1', the biological sound pulse signal collected in the step 1 is subjected to sound pulse processing
Signal x in rangei(t) embedding an identification signal awi(t); in this embodiment, the first symbol to be transmitted is "1", that is, an identification signal is embedded in the bird call pulse signal in the range of (0s,0.15 s).
The identification signal awiThe generation steps are as follows: for xi(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum X of the frequency rangei(f) (ii) a In this embodiment, a dual α filter with α being 0.1 is used to obtain an envelope, and a threshold is set to be 0.2 for decision, and an obtained frequency spectrum is shown in fig. 5; construction of frequency response as 1-Xi(f) Filter f ofi；fiThe frequency response curve of (2) is shown in fig. 6; generating a random signal a using a random signal generatori(t); using filters fiFor random signal ai(t) filtering to obtain an identification signal awi(t) its spectrum is shown in fig. 7;
the biological sound pulse signal after embedding the identification signal is: si(t)＝xi(t)+p·awi(t)；
Similarly, identification signals are embedded in the 3 rd and 6 th bird pulse signals.
In this embodiment, the identification signal is embedded in the first bird call pulse signal, and the time domain waveform thereof is as shown in fig. 8, and comparing fig. 8 with fig. 4, it can be seen that the identification signal is well hidden in the bird call pulse signal.
When awaiting transmissionWhen the ith code element in the binary code stream is '0', the biological sound pulse signal collected in the step 1
Signals within the range are not processed; namely, the 2 nd, 4 th and 5 th bird call pulse signals are not processed.
Step 4, the transmitting end transmits the biological sound signal processed in the step 3;
step 5, the hidden information receiving end extracts the envelope of the received biological sound signal y (t) to obtain an envelope signal er(t); obtaining e through threshold judgmentr(t) time range of each biological sound pulse
Respectively setting the starting time and the ending time of the jth biological sound pulse; 0<J is less than or equal to J; j is the number of received biological calls;
step 6 is to each biological sound pulse y in y (t)j(t) judging whether embedded information exists, wherein the judging step is as follows: for yj(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum Y of the frequency rangej(f) (ii) a In the same step 3, a dual α filter with α being 0.1 is also used here to obtain an envelope, and a threshold is set to be 0.2 for decision, so that an obtained spectrum Y is obtainedj(f) In that respect Build a frequency response of 1-Yj(f) Filter of
Use of
For yj(t) filtering to obtain a filtered signal ywj(t); generating a random signal a using a random signal generator synchronized with a transmitting endj(t); using filters
For random signal aj(t) filtering to obtain an identification signal
For ywj(t) and
synchronous sampling is carried out, and a correlation coefficient R at each sampling point is calculatedj(n)，0<n<Ns，NsIs the total number of sampling points, if RjMaximum value R of (n)maxIf the number is more than or equal to 0.5, the jth biological sound pulse signal received by the receiving end contains embedded information, and the jth code element sent by the sending end is '1'; if R ismax>0.5, no embedded information exists in the jth biological sound pulse signal received by the receiving end, and the jth code element sent by the sending end is '0'. In this embodiment, the range of a bird-call ping signal received by the receiving end is 0-0.15s, and the correlation coefficient R thereof1(n) the waveform is shown in FIG. 9, the total number of samples is 15000, and it can be seen that R is at about 7000 points1(n) a peak value appears, and the maximum value is more than 0.5, namely the first code element sent by the sending end is 1.
And 6, sequentially judging whether each biological sound pulse signal received by the receiving end is embedded with an identification signal or not so as to obtain a secondary code stream sent by the sending end. Each biometric call may send 1bit of information. When the receiving end judges the seventh bird-called ping signal, the judgment result is '0' because the sending end does not send information, and according to the communication protocol negotiated by the sending and receiving parties, N '0's are considered to be continuous to indicate no information transmission, and N is greater than 2.
The present embodiment further discloses a system for implementing the hidden information transmission method, which is shown in fig. 10 and includes a sending end and a receiving end, where the sending end includes:
the biological voice pulse signal acquisition module 1 is used for acquiring a biological voice pulse signal x (t), wherein the biological voice number contained in the x (t) is more than or equal to the number of code elements in a binary code stream to be transmitted;
a sending end envelope extracting module 2 for extracting the envelope e of the signal x (t)s(t)；
A sending end pulse detection module 3 for obtaining es(t) start time and end time of each biological sound pulse
An embedded identification signal module 4, configured to determine whether to perform a comparison on the ith biological sounding pulse x in x (t) according to the ith code element in the binary code stream to be transmittedi(t) embedding a logo; when the ith symbol in the binary code stream to be transmitted is "B1", for signal xi(t) embedding an identification signal awi(t); the identification signal awiThe generation steps are as follows: for xi(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum X of the frequency rangei(f) (ii) a Construction of frequency response as 1-Xi(f) Filter f ofi(ii) a Generating a random signal a using a first random signal generatori(t); using filters fiFor random signal ai(t) filtering to obtain an identification signal awi(t)；
The biological sound pulse signal after embedding the identification signal is: si(t)＝xi(t)+p·awi(t)；
When the ith code element in the binary code stream to be transmitted is 'B2', the biological sound pulse signal
Signal x in rangei(t) not processing;
the sending module 5 is used for sending the biological sound signal processed by the embedded identification signal module;
the receiving end includes:
the biological sound-calling pulse signal receiving module 6 is used for receiving a biological sound-calling signal y (t);
a receiving end envelope extracting module 7 for extracting the envelope e of the signal y (t)r(t)；
A receiving end pulse detection module 8 for obtaining er(t) start time and end time of each biological sound pulse
An embedded identification signal detection module 9 for determining each biological sound pulse y in y (t)j(t) whether embedded information exists, the judging step is: for yj(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum Y of the frequency rangej(f) (ii) a Build a frequency response of 1-Yj(f) Filter of
Use of
For yj(t) filtering to obtain a filtered signal ywj(t); generating a random signal a using a second random signal generator synchronized with a first random signal generator of a transmitting endj(t); using filters
For random signal aj(t) filtering to obtain an identification signal
For ywj(t) and
synchronous sampling is carried out, and a correlation coefficient R at each sampling point is calculatedj(n)，0<n<Ns，NsIs the total number of sampling points, if RjMaximum value R of (n)maxIf the number of the received j biological sound pulse signals is more than or equal to 0.5, the receiving end receives the j biological sound pulse signals, and the j code element sent by the sending end is 'B1'; if R ismax<0.5, the jth biological sound pulse signal received by the receiving end has no embedded information, and the jth code element sent by the sending endIs "B2".
Claims (10)
1. A hidden information transmission method based on biological cry is characterized by comprising the following steps:
(1) the method comprises the steps that a hidden information sending end collects a biological cry pulse signal x (T) with the time length of T, envelope is extracted from the collected signal, and a biological cry envelope signal e is obtaineds(t); the number of the biological call sounds contained in the time T is more than or equal to the number of code elements in the binary code stream to be sent;
(2) obtaining e through threshold judgments(t) time range of each biological sound pulse
ti,
Respectively setting the starting time and the ending time of the ith biological sound pulse;
(3) when the ith code element in the binary code stream to be transmitted is 'B1', the biological sound pulse signal collected in the step 1 is processed
Signal x in rangei(t) embedding an identification signal awi(t)；
The identification signal awiThe generation step of (t) is: for xi(t) performing FFT, then extracting envelope in the frequency domain, and obtaining the frequency range with concentrated energy through threshold judgment to obtain the frequency spectrum Xi(f) (ii) a Construction of frequency response as 1-Xi(f) Filter f ofi(ii) a Generating a random signal a using a random signal generatori(t); using filters fiFor random signal ai(t) filtering to obtain an identification signal awi(t)；
The biological sound pulse signal after embedding the identification signal is: si(t)＝xi(t)+p·awi(t)；
When the ith code element in the binary code stream to be transmitted is 'B2', the biological sound pulse signal collected in the step 1
Signals within the range are not processed;
(4) the transmitting end transmits the biological sound signal processed in the step 3;
(5) the hidden information receiving end extracts the envelope of the received biological cry signal y (t) to obtain an envelope signal er(t); obtaining e through threshold judgmentr(t) time range of each biological sound pulse
tj,
Respectively setting the starting time and the ending time of the jth biological sound pulse; 0<J is less than or equal to J; j is the number of received biological calls;
(6) for each biological sound pulse y in y (t)j(t) judging whether embedded information exists, wherein the judging step is as follows: for yj(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum Y of the frequency rangej(f) (ii) a Build a frequency response of 1-Yj(f) Filter of
Use of
For yj(t) filtering to obtain a filtered signal ywj(t); generating a random signal a using a random signal generator synchronized with a transmitting endj(t); using filters
For random signal aj(t) filtering to obtain an identification signal
For ywj(t) and
synchronous sampling is carried out, and a correlation coefficient R at each sampling point is calculatedj(n)，0<n<Ns，NsIs the total number of sampling points, if RjMaximum value R of (n)maxIf the number of the received j biological sound pulse signals is more than or equal to 0.5, the receiving end receives the j biological sound pulse signals, and the j code element sent by the sending end is 'B1'; if R ismax<0.5, no embedded information exists in the jth biological sound pulse signal received by the receiving end, and the jth code element sent by the sending end is 'B2'.
2. The method for transmitting the hidden information based on the biological cry according to claim 1, wherein said extracting the envelope of the signal in steps 1 and 5 uses a double α filter, and α of said double α filter is 0.001.
3. The method for transmitting the hidden information based on the biood cry according to claim 1, wherein said step 3 and step 6 use a double α filter in the frequency domain extraction envelope, and α of said double α filter is 0.1.
4. The method for transmitting the hidden information based on the biological cry according to claim 1, wherein B1-1 and B2-0.
5. The method for transmitting the hidden information based on the biological cry according to claim 1, wherein B1-0 and B2-1.
6. The utility model provides a hidden information transmission system based on biological cry, includes sending end and receiving terminal, its characterized in that, the sending end includes:
the biological voice pulse signal acquisition module is used for acquiring a biological voice pulse signal x (t), wherein the biological voice number contained in the x (t) is more than or equal to the number of code elements in a binary code stream to be transmitted;
a transmitting end envelope extraction module for extracting the envelope e of the signal x (t)s(t)；
A sending end pulse detection module for obtaining es(t) the start time and the end time t of each biological sound pulsei,
An embedded identification signal module for judging whether to perform the ith biological sound pulse x in x (t) according to the ith code element in the binary code stream to be transmittedi(t) embedding a logo; when the ith symbol in the binary code stream to be transmitted is "B1", for signal xi(t) embedding an identification signal awi(t); the identification signal awiThe generation step of (t) is: for xi(t) performing FFT, then performing extraction envelope in a frequency domain, and obtaining a frequency range with concentrated energy through threshold judgment to obtain a frequency spectrum X of the frequency rangei(f) (ii) a Construction of frequency response as 1-Xi(f) Filter f ofi(ii) a Generating a random signal a using a first random signal generatori(t); using filters fiFor random signal ai(t) filtering to obtain an identification signal awi(t)；
The biological sound pulse signal after embedding the identification signal is: si(t)＝xi(t)+p·awi(t)；
When the ith code element in the binary code stream to be transmitted is 'B2', the biological sound pulse signal
Signal x in rangei(t) not processing;
the transmitting module is used for transmitting the biological sound signal processed by the embedded identification signal module;
the receiving end includes:
the biological sound-calling pulse signal receiving module is used for receiving a biological sound-calling signal y (t);
a receiving end envelope extraction module for extracting the envelope e of the signal y (t)r(t)；
A receiving end pulse detection module for obtaining er(t) the start time and the end time t of each biological sound pulsej,
An embedded identification signal detection module for judging each biological sound pulse y in y (t)j(t) whether embedded information exists, the judging step is: for yj(t) performing FFT, then extracting envelope in the frequency domain, obtaining the frequency range with concentrated energy through threshold judgment, and obtaining the frequency spectrum Y of the frequency rangej(f) (ii) a Build a frequency response of 1-Yj(f) Filter of
Use of
For yj(t) filtering to obtain a filtered signal ywj(t); generating a random signal a using a second random signal generator synchronized with a first random signal generator of a transmitting endj(t); using filters
For random signal aj(t) filtering to obtain an identification signal
For ywj(t) and
proceed with the sameStep sampling, calculating correlation coefficient R at each sampling pointj(n)，0<n<Ns，NsIs the total number of sampling points, if RjMaximum value R of (n)maxIf the number of the received j biological sound pulse signals is more than or equal to 0.5, the receiving end receives the j biological sound pulse signals, and the j code element sent by the sending end is 'B1'; if R ismax<0.5, no embedded information exists in the jth biological sound pulse signal received by the receiving end, and the jth code element sent by the sending end is 'B2'.
7. The hidden information transmission system based on biological cry of claim 6, wherein said envelope extraction modules at transmitting end and receiving end use double α filters, and α of said double α filters is 0.001.
8. The hidden information transmission system based on biological cry according to claim 6, wherein said transmit side embedded identification signal module and receive side embedded identification signal detection module use a double α filter in the frequency domain extraction envelope, and α of said double α filter is 0.1.
9. The biometric-based covert information transmission system of claim 6, wherein B1-1 and B2-0.
10. The biometric-based covert information transmission system of claim 6, wherein B1-0 and B2-1.
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