CN111628959B - Large-scale unmanned aerial vehicle group security authentication mechanism based on random label - Google Patents

Large-scale unmanned aerial vehicle group security authentication mechanism based on random label Download PDF

Info

Publication number
CN111628959B
CN111628959B CN201911145089.XA CN201911145089A CN111628959B CN 111628959 B CN111628959 B CN 111628959B CN 201911145089 A CN201911145089 A CN 201911145089A CN 111628959 B CN111628959 B CN 111628959B
Authority
CN
China
Prior art keywords
unmanned aerial
label
aerial vehicle
ulabel
clabel
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.)
Active
Application number
CN201911145089.XA
Other languages
Chinese (zh)
Other versions
CN111628959A (en
Inventor
钱红燕
刘亮君
胡峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Aeronautics and Astronautics
Original Assignee
Nanjing University of Aeronautics and Astronautics
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanjing University of Aeronautics and Astronautics filed Critical Nanjing University of Aeronautics and Astronautics
Priority to CN201911145089.XA priority Critical patent/CN111628959B/en
Publication of CN111628959A publication Critical patent/CN111628959A/en
Application granted granted Critical
Publication of CN111628959B publication Critical patent/CN111628959B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

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
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0807—Network architectures or network communication protocols for network security for authentication of entities using tickets, e.g. Kerberos
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/06—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for block-wise or stream coding, e.g. DES systems or RC4; Hash functions; Pseudorandom sequence generators
    • H04L9/0643—Hash functions, e.g. MD5, SHA, HMAC or f9 MAC
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
    • H04L9/0861—Generation of secret information including derivation or calculation of cryptographic keys or passwords
    • H04L9/0869—Generation of secret information including derivation or calculation of cryptographic keys or passwords involving random numbers or seeds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/321—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving a third party or a trusted authority
    • H04L9/3213—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving a third party or a trusted authority using tickets or tokens, e.g. Kerberos
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3236—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
    • H04L9/3239—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G05D1/104—Simultaneous control of position or course in three dimensions specially adapted for aircraft involving a plurality of aircrafts, e.g. formation flying
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
    • H04B7/18502—Airborne stations
    • H04B7/18506—Communications with or from aircraft, i.e. aeronautical mobile service

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Small-Scale Networks (AREA)

Abstract

The invention discloses a large-scale unmanned aerial vehicle group security authentication mechanism based on random labels, which adopts specific Hash and mapping processes, adds two random labels on a large-scale unmanned aerial vehicle group to verify between unmanned aerial vehicles and between the unmanned aerial vehicles and a ground station in real time, thereby protecting the reliability of the whole mobile ad hoc network. According to the determined label distributed to each unmanned aerial vehicle by the ground station, the uncertain label is calculated by adopting a matching method for verification, and the label has safety and unpredictability, so that an adversary can hardly deduce the uncertain label needing verification by the determined label. The invention has the advantages that: compared with the existing encryption algorithm, the Hash and the mapping encryption process can protect the confidential information carried by the unmanned aerial vehicle more simply and effectively, reduce the complexity of the algorithm, improve the efficiency of the whole task process and have practical feasibility.

Description

Large-scale unmanned aerial vehicle group security authentication mechanism based on random label
Technical Field
The invention belongs to the field of network communication, and particularly provides a large-scale unmanned aerial vehicle group security authentication mechanism based on a random tag, which is used for ensuring that the large-scale unmanned aerial vehicle group is difficult to intercept and decipher confidential information when executing tasks.
Background
The mobile ad hoc network technology is widely used for current unmanned aerial vehicle flight, and in the existing encryption algorithm design, the security of secret information transmitted from a transmitting unmanned aerial vehicle to the unmanned aerial vehicle is not generally considered, and most researches only consider the fixed position and the fixed quantity of the unmanned aerial vehicle, only a communication model in one direction is from the ground to the air, and the unmanned aerial vehicle can freely and flexibly move in a three-dimensional space.
A hash function, also known as a hashing algorithm, is a method of creating a small digital "fingerprint" from any kind of data. The hash function compresses a message or data into a digest so that the amount of data becomes small, fixing the format of the data. This function mixes the data shuffled and recreates a fingerprint called a hash value (or hash value). The hash value is typically represented by a short string of random letters and numbers. And a specific Hash and mapping process is adopted, and two random labels are added on a large-scale unmanned aerial vehicle cluster to carry out verification between unmanned aerial vehicles and between the unmanned aerial vehicles and a ground station in real time, so that the reliability of the whole mobile ad hoc network is protected. According to the determined label distributed to each unmanned aerial vehicle by the ground station, the uncertain label is calculated by adopting a matching method for verification, and the label has safety and unpredictability, so that an adversary can hardly deduce the uncertain label needing verification by the determined label.
Disclosure of Invention
The invention provides a large-scale unmanned aerial vehicle group security authentication mechanism based on random labels, aiming at the potential safety hazard intercepted and captured when most of the existing unmanned aerial vehicle group executes tasks.
The technical scheme of the invention is as follows:
a large-scale unmanned aerial vehicle group security authentication mechanism based on random labels comprises the following steps:
s1: when the unmanned aerial vehicle cluster controls a starting station A from the ground, the A allocates a determining label (label) 1, 2 and 3 to each unmanned aerial vehicle;
s2: after flying for a period of time, each unmanned aerial vehicle generates an uncertain label (label) 1 based on corresponding label1 through hashing, and performs inter-group authentication mutually;
s3: in the flight process of the unmanned aerial vehicle swarm, when the unmanned aerial vehicle swarm encounters the relay station B, the relay station B knows the mode of the ground station generating the close 2 as the relay station and the ground station are communicated with each other; therefore, the unmanned plane generates a label2 (hash, mapping) according to the label2, and the relay station B verifies the label 2; subsequent relay stations validate the ciabel 3, ciabel 4.
Further, a large-scale unmanned aerial vehicle group security authentication mechanism based on a random tag, where the step S1 specifically is:
s101: the unmanned plane pre-loads a plurality of mapping schemes, generates an uncertain label (label) by combining a plurality of local labels, selects discontinuous and disorganized header bits for each part label, and maps the discontinuous and disorganized header bits to the discontinuous and disorganized bits in the label;
s102: we store the mapping as an m-level tree; the internal nodes map to bits in each entry accordingly; leaf nodes correspond to partial tags.
Further, a large-scale unmanned aerial vehicle group security authentication mechanism based on a random tag, where the step S2 specifically is:
s201: let PktclabelIndicates the header marked with the label,
Figure BSA0000195361620000024
representing bits in the labeled tag, the length of which is represented by a 64-bit value; the ulabel generated by one UAV is validated by the other UAV, validating the formula as follows:
ulabel＝Hash(Sample(Pktclabel))；
wherein Hash (-) represents the SHA-256 Hash algorithm we employ;
s202: in that
Figure BSA0000195361620000025
Filling the tail end, firstly filling the first bit to 1, and then filling all bits to 0 to ensure that
Figure BSA0000195361620000026
The length satisfies that the remainder after modulus 512 is 448, and then the length is obtained
Figure BSA0000195361620000027
Handle
Figure BSA0000195361620000028
Is supplemented to
Figure BSA0000195361620000029
We get a list of messages;
S203：we split the message list into 16 large 32-bit end words W0，W1，...，W15The remaining 48 words W16，W17，...，W63Iteratively obtained by the following formulas:
Wt＝σ1(Wt-2)+Wt-7+σ0(Wt-2)+Wt-16；
s204: the algorithm based on 32-bit word operations utilizes 6 logic functions:
Figure BSA0000195361620000031
Figure BSA0000195361620000032
Figure BSA0000195361620000033
Figure BSA0000195361620000034
Figure BSA0000195361620000035
Figure BSA0000195361620000036
through mapping iteration, we get H1(ii) a By analogy, we get the last Hn, which is the last 256-bit message digest, i.e. the ulbel we need;
s205: if the unmanned aerial vehicle satisfies: firstly, the data packet comes from a correct previous hop node; secondly, the data packet carries the correct label generated by the unmanned aerial vehicle; the inter-cluster detection passes;
s206: if not, the system triggers an alarm with the universal wildcard rule.
Further, a large-scale unmanned aerial vehicle group security authentication mechanism based on a random tag, where the step S3 specifically is:
s301: the drone generates a label by combining several partial labels; for each partial tag, we select the discontinuous and shuffled header bits and map them to the discontinuous and shuffled bits in the ulabel; we store the mapping as an m-level tree; the internal nodes map to bits in each entry accordingly; leaf nodes correspond to partial tags;
s302: if the ulabel satisfies: firstly, the message serial number of the packet header is an h-bit string corresponding to a p-bit part label; secondly, the next hop is used for detecting the MPR sequence number; the unmanned aerial vehicle passes the detection of the ground station;
s303: if not, the system triggers an alarm with the universal wildcard rule.
The invention has the technical advantages that:
1. the information security of the unmanned aerial vehicle cluster system is protected under the condition of no high calculation amount and communication overhead;
2. the mobile unmanned aerial vehicle can also generate an uncertain label and carry out group verification and ground station verification by adopting two schemes of hashing and mapping;
3. compared with the existing encryption algorithm, the method can protect the confidential information carried by the unmanned aerial vehicle more simply and effectively, reduce the complexity of the algorithm, improve the efficiency of the whole task process, and has practical feasibility.
Drawings
FIG. 1 is a block diagram of the mechanism of the present invention.
Fig. 2 is a label iteration diagram.
Fig. 3 is a probability distribution of probability labels generated by (a) hashing.
FIG. 4 is a probability distribution of probability labels generated by the mapping of (b).
Fig. 5 is a time delay comparison with the original OLSR.
Fig. 6 is a graph of throughput for the present invention.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
The invention designs a large-scale unmanned aerial vehicle group security authentication mechanism based on random labels according to the technical characteristics of hash and mapping generation of the random labels, and mainly solves the following two problems:
(1) the unmanned aerial vehicle cluster belongs to a mobile ad hoc network and has high dynamic property, so that the safety of the unmanned aerial vehicle cluster is difficult to be effectively ensured, and key information is easy to intercept and acquire in the task execution process.
(2) In the existing encryption algorithm, the consideration that the unmanned aerial vehicle which protects key information and supplements can be verified immediately is lacked.
The main idea of the invention is as follows: the Hash encryption algorithm and the mapping scheme are combined to realize the maximization of information security of the unmanned aerial vehicle cluster system under the condition of not high calculation amount and communication overhead.
Specifically, a large-scale unmanned aerial vehicle group security authentication mechanism based on random tags comprises the following steps:
s1: when the unmanned aerial vehicle cluster controls a starting station A from the ground, the A allocates a determining label (label) 1, 2 and 3 to each unmanned aerial vehicle;
s101: the unmanned plane pre-loads a plurality of mapping schemes, generates an uncertain label (label) by combining a plurality of local labels, selects discontinuous and disorganized header bits for each part label, and maps the discontinuous and disorganized header bits to the discontinuous and disorganized bits in the label;
s102: we store the mapping as an m-level tree; the internal nodes map to bits in each entry accordingly; leaf nodes correspond to partial tags.
S2: after flying for a period of time, each unmanned aerial vehicle generates an uncertain label (label) 1 based on corresponding label1 through hashing, and performs inter-group authentication mutually;
s201: let PktclabelIndicates the header marked with the label,
Figure BSA0000195361620000057
representing bits in the labeled tag, the length of which is represented by a 64-bit value; the ulabel generated by one UAV is validated by the other UAV, validating the formula as follows:
ulabel＝Hash(Sample(Pktclabel))；
wherein Hash (-) represents the SHA-256 Hash algorithm we employ;
s202: in that
Figure BSA00001953616200000512
Filling the tail end, firstly filling the first bit to 1, and then filling all bits to 0 to ensure that
Figure BSA0000195361620000058
The length satisfies that the remainder after modulus 512 is 448, and then the length is obtained
Figure BSA0000195361620000059
Handle
Figure BSA00001953616200000510
Is supplemented to
Figure BSA00001953616200000511
We get a list of messages;
s203: we split the message list into 16 large 32-bit end words W0，W1，...，W15The remaining 48 words W16，W17，...，W63Iteratively obtained by the following formulas:
Wt＝σ1(Wt-2)+Wt-7+σc(Wt-2)+Wt-16；
s204: the algorithm based on 32-bit word operations utilizes 6 logic functions:
Figure BSA0000195361620000051
Figure BSA0000195361620000052
Figure BSA0000195361620000053
Figure BSA0000195361620000054
Figure BSA0000195361620000055
Figure BSA0000195361620000056
through mapping iteration, we get H1(ii) a By analogy, we get the last Hn, which is the last 256-bit message digest, i.e. the ulbel we need;
s205: if the unmanned aerial vehicle satisfies: firstly, the data packet comes from a correct previous hop node; secondly, the data packet carries the correct label generated by the unmanned aerial vehicle; the inter-cluster detection passes;
s206: if not, the system triggers an alarm with the universal wildcard rule.
S3: in the flight process of the unmanned aerial vehicle swarm, when the unmanned aerial vehicle swarm encounters the relay station B, the relay station B knows the mode of the ground station generating the close 2 as the relay station and the ground station are communicated with each other; therefore, the unmanned plane generates a label2 (hash, mapping) according to the label2, and the relay station B verifies the label 2; the subsequent relay station verifies the ciabel 3, ciabel 4.. until the task is completed;
s301: the drone generates a label by combining several partial labels; for each partial tag, we select the discontinuous and shuffled header bits and map them to the discontinuous and shuffled bits in the ulabel; we store the mapping as an m-level tree; the internal nodes map to bits in each entry accordingly; leaf nodes correspond to partial tags;
s302: if the ulabel satisfies: firstly, the message serial number of the packet header is an h-bit string corresponding to a p-bit part label; secondly, the next hop is used for detecting the MPR sequence number; the unmanned aerial vehicle passes the detection of the ground station;
s303: if not, the system triggers an alarm with the universal wildcard rule.
In the specific implementation:
the invention performs the simulation of the flight process of the unmanned aerial vehicle as shown in fig. 1 in the OMNet + + software, and performs the performance test on the proposed mechanism. We call the generation and authentication functions in the file/hash. OMNeT + + processes arriving packets by calling a generate function in the ProcessCalcket (-) and discards processed packets by calling a validate function in the PacketCallback (-).
FIG. 2 shows an iterative process of the mapping scheme, where the red field grid represents the pair divided by 232And then the rest is taken.
Fig. 3 and 4 show probability distributions of probability labels generated by (a) hashing and (b) mapping. It can be seen that the uncertainty labels generated by drones approximate a normal distribution, which well limits the scope of random inference by attackers.
In order to embody the advantages of the random tag security mechanism provided by the invention, the unmanned aerial vehicle performance under the existing common OLSR protocol is compared. As can be seen from fig. 5, the original OLSR requires 0.54s on average to process bits in a packet, while the protocol enhanced by the mechanism requires 0.24 s.
FIG. 6 shows that the throughput of the mechanism proposed by the present invention has a minimum rate of 1000 bits/s, an average rate mostly stabilized around 5000 bits/s, and a peak value sometimes reached 19000 bits/s. This also fully demonstrates the feasibility of this mechanism.
In conclusion: the large-scale unmanned aerial vehicle cluster security authentication mechanism based on the random label not only can protect information carried by the unmanned aerial vehicle, but also can complete tasks more efficiently.
While the preferred embodiments of the present invention have been illustrated and described in detail, it is not intended to limit the invention to the exact details shown and described, and various equivalents (e.g., in number, shape, location, etc.) may be substituted for elements thereof without departing from the spirit and scope of the present invention.

Claims (2)

1. A large-scale unmanned aerial vehicle group security authentication method based on random labels is characterized by comprising the following steps:
s1: when the unmanned aerial vehicle cluster controls the starting station from the ground, the starting station allocates a certain label (label 1, 2 and 3.) to each unmanned aerial vehicle;
s2: after flying for a period of time, each unmanned aerial vehicle generates an uncertain label ulabel1 based on a corresponding certain label clavel 1 through hashing, and performs inter-group authentication; the method specifically comprises the following steps:
s201: let
Figure FDA0003068428600000017
Indicates the header of a packet marked with a definite label, Sample (Pkt)clabel) Representing bits in the labeled tag, the length of which is represented by a 64-bit value; the uncertainty label, ulabel, generated by one drone is validated by another drone by the following equation:
ulabel＝Hash(Sample(Pktclabel))；
wherein Hash (-) represents the SHA-256 Hash algorithm employed;
s202: in Sample (Pkt)clabel) The end is padded by first filling the first bit with 1 and then filling all with 0, so that Sample (Pkt)clabel) The length satisfies that the remainder after modulus taking 512 is 448, and Sample (Pkt) is obtainedclabel)1Sample (Pkt)clabel)1Supplement to Sample (Pkt)clabel) Obtaining a message list;
s203: splitting the message list into 16 large 32-bit end words W0，W1，...，W15The remaining 48 words W16，W17，...，W63Iteratively obtained by the following formulas:
Wt＝σ1(Wt-2)+Wt-7+σ0(Wt-2)+Wt-16；
the algorithm based on 32-bit word operations is based on the following 6 logic functions:
Figure FDA0003068428600000011
Figure FDA0003068428600000012
Figure FDA0003068428600000013
Figure FDA0003068428600000014
Figure FDA0003068428600000015
Figure FDA0003068428600000016
through mapping iteration, H is obtained1(ii) a By analogy, a 256-bit message digest Hn is obtained and determined as an uncertain label ulabel;
s204: if the unmanned aerial vehicle satisfies: firstly, the data packet comes from a correct previous hop node; secondly, the data packet carries a correct uncertain label ulabel generated by the unmanned aerial vehicle; the inter-cluster detection passes;
s205: if not, the system triggers an alarm by using a universal wildcard rule;
s3: when the unmanned aerial vehicle swarm encounters a relay station in the flying process, the unmanned aerial vehicle generates an uncertain label ulabel2 according to the confirmed label ciabel 2, and the relay station verifies the ciabel 2; the subsequent relay station verifies the ciabel 3, ciabel 4.
2. The large-scale unmanned aerial vehicle group security authentication method based on random tags as claimed in claim 1, wherein said step S1 specifically comprises:
s101: the unmanned aerial vehicle loads a plurality of mapping schemes in advance, generates an uncertain label ulabel by combining a plurality of local labels, selects discontinuous and disordered header bits for each part label, and maps the discontinuous and disordered header bits to the discontinuous and disordered bits in the uncertain label ulabel;
s102: storing the mapping as an m-level tree; the internal nodes of the m-level tree are correspondingly mapped to bits in each entry of the uncertain label ulabel; leaf nodes correspond to partial tags.
CN201911145089.XA 2019-11-20 2019-11-20 Large-scale unmanned aerial vehicle group security authentication mechanism based on random label Active CN111628959B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911145089.XA CN111628959B (en) 2019-11-20 2019-11-20 Large-scale unmanned aerial vehicle group security authentication mechanism based on random label

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911145089.XA CN111628959B (en) 2019-11-20 2019-11-20 Large-scale unmanned aerial vehicle group security authentication mechanism based on random label

Publications (2)

Publication Number Publication Date
CN111628959A CN111628959A (en) 2020-09-04
CN111628959B true CN111628959B (en) 2021-07-09

Family

ID=72260546

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911145089.XA Active CN111628959B (en) 2019-11-20 2019-11-20 Large-scale unmanned aerial vehicle group security authentication mechanism based on random label

Country Status (1)

Country Link
CN (1) CN111628959B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113099447B (en) * 2021-04-07 2022-05-13 南京航空航天大学 Safety authentication method for unmanned aerial vehicle group and unmanned aerial vehicle group
CN114679268B (en) * 2022-03-29 2023-07-21 湖北工业大学 Method for mutual authentication and key agreement between unmanned aerial vehicles and storable medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101256615A (en) * 2007-02-27 2008-09-03 中国科学院研究生院 Radio frequency recognizing privacy authentication method for dynamic cryptographic key update based on rarefaction tree
CN106444423A (en) * 2016-09-30 2017-02-22 天津大学 Indoor multi unmanned aerial vehicle formation flight simulation verification platform and achieving method thereof
CN108731684A (en) * 2018-05-07 2018-11-02 西安电子科技大学 A kind of Route planner of multiple no-manned plane Cooperative Area monitoring
CN110308740A (en) * 2019-06-28 2019-10-08 天津大学 A kind of unmanned aerial vehicle group dynamic task allocation method towards mobile target tracking

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020671B (en) * 2012-11-20 2015-08-19 南京邮电大学 A kind of radio frequency identification mutual authentication method based on hash function
CN103413109B (en) * 2013-08-13 2016-04-06 江西理工大学 A kind of mutual authentication method of radio frequency identification system
US10397398B2 (en) * 2017-01-17 2019-08-27 Pindrop Security, Inc. Authentication using DTMF tones

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101256615A (en) * 2007-02-27 2008-09-03 中国科学院研究生院 Radio frequency recognizing privacy authentication method for dynamic cryptographic key update based on rarefaction tree
CN106444423A (en) * 2016-09-30 2017-02-22 天津大学 Indoor multi unmanned aerial vehicle formation flight simulation verification platform and achieving method thereof
CN108731684A (en) * 2018-05-07 2018-11-02 西安电子科技大学 A kind of Route planner of multiple no-manned plane Cooperative Area monitoring
CN110308740A (en) * 2019-06-28 2019-10-08 天津大学 A kind of unmanned aerial vehicle group dynamic task allocation method towards mobile target tracking

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
四旋翼无人机反欺骗及通信加密技术研究;严子军;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20180215;全文 *

Also Published As

Publication number Publication date
CN111628959A (en) 2020-09-04

Similar Documents

Publication Publication Date Title
US11804967B2 (en) Systems and methods for verifying a route taken by a communication
US10129220B2 (en) Application and data protection tag
WO2019040963A1 (en) Terminal identity protection method in a communication system
KR102059079B1 (en) Method and system for secured communication of control information in a wireless network environment
CN111628959B (en) Large-scale unmanned aerial vehicle group security authentication mechanism based on random label
WO2016116999A1 (en) Packet transmission device, packet-receiving device, packet transmission program, and packet-receiving program
US11418493B2 (en) Identifying and securing unencrypted data in a production environment
CN103874059B (en) Message processing method and device, system
CN107801187A (en) Encipher-decipher method, apparatus and system
Samanth et al. Security in internet of drones: A comprehensive review
CN110351316A (en) A kind of remote software upgrade method and device
Thompson et al. Confidential and authenticated communications in a large fixed-wing UAV swarm
Won et al. A secure shuffling mechanism for white-box attack-resistant unmanned vehicles
CN104717644A (en) Two-tiered wireless sensor network range query method capable of verifying privacy protection
CN110034919A (en) A kind of variable-length authenticating tag generation method and communication means and system suitable for ZUC-256 stream cipher arithmetic
CN110585727B (en) Resource acquisition method and device
US20140250301A1 (en) Network coding-based anonymous communication
CN116827651A (en) Communication security protection method, device, computer equipment and storage medium
CN111988264A (en) Block chain and network system, data receiving and sending method and equipment
CN113452508B (en) Data encryption method, device, equipment and computer readable storage medium
CN115085926A (en) Data acquisition method and system based on block chain and Internet of things data aggregation gateway
Salman et al. Expanding coverage of an intelligent transit bus monitoring system via ZigBee radio network
CN106254425A (en) For mobile device to high in the clouds the transmission method and system of data, mobile terminal
CN113099447B (en) Safety authentication method for unmanned aerial vehicle group and unmanned aerial vehicle group
CN109905213A (en) Data safe transmission method and node device

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
GR01 Patent grant
GR01 Patent grant