Recently, underwater wireless communication (UWC) networks have garnered significant attention. In specific application scenarios, underwater electrocommunication technology exhibits distinct advantages over traditional acoustic and optical communication methods, emerging as a viable alternative for communication among autonomous underwater vehicles (AUVs). Most AUVs depend heavily on battery power, where the energy is highly precious. Given that the reliability of AUVs communications is tethered to limited energy storage, the imperative for energy-efficient communication strategies is paramount. The issue of power consumption control in underwater electrocommunication systems is addressed in this research by proposing an adaptive power control strategy based on transfer learning for transferring power. The method can predict the minimum voltage across the transmitting electrodes required to satisfy the communication task according to the changes in the operating environment and adjust the transmitting power level accordingly. To verify the effectiveness of this method, this paper establishes a transfer network based on simulation data obtained by finite element simulation combined with the theory and technique of transfer learning. It uses experimental samples to verify the effectiveness of this network in shallow waters. According to the findings, the transfer network outperforms the ordinary backpropagation neural network trained solely on experimental samples in terms of performance.

With the widespread adoption of Internet of Things (IoT) technologies in healthcare systems, security issues related to user privacy during data transmission and sharing have become increasingly prominent. To address these challenges, this paper proposes a medical privacy protection and secure sharing scheme based on Quantum Key Distribution (QKD). The scheme integrates multiple technologies, including blockchain, smart contracts, zero-knowledge proofs, and Chebyshev chaotic mapping, to ensure secure data sharing and access control among multiple communication entities. Compared with existing solutions, our approach enhances key management security through quantum keys and improves communication resilience against attacks by leveraging chaotic systems. User identity privacy is protected via zero-knowledge proofs. Under the random oracle model, the security of the proposed scheme is formally proven. Moreover, comparative experiments with existing protocols demonstrate the scheme’s comprehensive advantages in terms of security and performance, evaluated across throughput, computational overhead, communication overhead, and storage overhead.

As the medical information systems continue to develop, the sharing of electronic medical records (EMRs) is becoming a vital tool for improving the quality and efficiency of medical services. However, during the process of sharing EMRs, establishing mutual-trust relationships and increasing users’ participation are urgent problems to be solved. Current solutions mainly focus on incentive mechanisms for users’ honest and active participation, but often ignore the potential impact of research institutions’ behavior on users’ trust and participation. To address this, this paper proposes an incentive mechanism based on evolutionary game theory. It combines the unchangeable nature of blockchain and the dynamic adjustment characteristics of evolutionary games to build a secure and trustworthy incentive system. This system considers the potential malicious behaviors of both users and research institutions, encouraging research institutions to protect users’ privacy, reduce users’ concerns, and guide users to actively contribute data. At the same time, it ensures data security and system trust through clear rewards and punishments. Based on this, we have carried out a comprehensive simulation using game theory. The results confirm that our designed incentive mechanism can effectively achieve its expected goals.

Computational ghost imaging is a new imaging technique, which breaks through the limitations of traditional imaging and can be performed in some complex environments due to its advantages of nonlocalization, anti-interference and super-resolution. In order to obtain high-quality imaging results, a large number of speckle patterns and long time correlation operations are usually required, and different reconstruction algorithms and speckle patterns have an important impact on the imaging results. In this paper, a remote computing ghost imaging system is designed based on the cloud service model, which allows users to upload the barrel detection values to the cloud, utilize a high-performance server for image reconstruction computation, and obtain the final imaging results through the client. The system integrates four speckle patterns and five image reconstruction algorithms, which can be flexibly selected by the user according to the experimental needs.It also provides an image visibility enhancement function that makes imaging results clearer. By integrating the concept of cloud service into the computational ghost imaging technology, the flexibility of the computational ghost imaging system and the imaging efficiency are indirectly improved, which promotes the practicalization of the computational ghost imaging technology.

The fixed-wing UAV is a nonlinear strongly coupled system. Although the traditional linear controller can achieve attitude control of the UAV, the controller parameters tuning process is tedious and the robustness of the system is weak, which greatly limits the performance of the UAV. To address the above problems, this paper proposes a comprehensive control scheme that uses the deep reinforcement learning algorithm DDPG to train the controller parameters to achieve automatic tuning of these parameters on the structure of the classical controller, while ensuring system stability by limiting the range of the control parameters, and then utilizes the L1 adaptive controller to improve the robustness of the system. First, we construct a fixed-wing UAV model and a PID controller framework as the training environment, and generate the value function of the reward feedback to the agent; then, the DDPG algorithm is applied to train the controller parameters to achieve stable control of the UAV; finally, the L1 adaptive algorithm is applied to enhance the robustness of the UAV attitude controller, and simulation results are presented. The results show that the DDPG-L1 adaptive control scheme designed in this paper can effectively solve the problem of tedious tuning of controller parameters and enhance the robustness of the system while ensuring the stability of the system.

In order to satisfy the demand of mobile secure communication for quantum keys, this study proposes a commercial quantum key distribution (QKD) based quantum key injection scheme for mobile terminals. It integrates a quantum network with a classic network, employs a quantum key injection device, and applies an encryption strategy to securely transmit the quantum key from the quantum network to the classic network for injection into a mobile terminal.Experimental results in a real quantum key distribution environment show that the fusion network runs stably, and the injection of the quantum key at the mobile terminal is realised effectively, which can meet the demands of mobile secure communication for quantum keys.

Traditional video conference systems depend largely on computational complexity to ensure system security, but with the development of high-performance computers, the existing encryption system will be seriously threatened. To solve this problem, a hybrid encryption scheme for quantum secure video conferencing combined with blockchain is proposed in this study. In the system solution architecture, first, the quantum key distribution network is embedded in the classic network; then, the "classical + quantum" hybrid encryption scheme is designed according to the secret level required for the video conference content. Besides, the real-time monitoring module of the quantum key distribution network is designed to ensure that users can check the running state of the network at any time. Meeting minutes can be shared by combining with blockchain. In order to quickly query meeting minutes, a cache-efficient query method based on B+ tree is proposed. The experimental results show that compared with the traditional video conference system, the quantum secure video conference system sufficiently integrates the technical advantages of the quantum key distribution to resist the security threats such as channel eavesdropping and high-performance computational attacks while ensuring the stable operation of the classic system, thus providing a video conference system with a higher security level. Meanwhile, the query time cost of blockchain with different lengths is tested, and the query efficiency of the proposed method is 3.15-times higher than the original query efficiency of blockchain.

Computational ghost imaging (CGI) is a method of acquiring object information by measuring light field intensity, which would be used to achieve imaging in a complicated environment. The main issue to be addressed in CGI technology is how to achieve rapid and high-quality imaging while assuring the secure transmission of detection data in practical distant imaging applications. In order to address the mentioned issues, this paper proposes a remote secure CGI method based on quantum communication technology. Using the quantum key distribution (QKD) network, the CGI system can be reconstructed while solving the problem of information security transmission between the detector and the reconstructed computing device. By exploring the influence of different random measurement matrices on the quality of image reconstruction, it is found that the randomness of the numerical sequence constituting the matrix is positively correlated with the imaging quality. Based on this discovery, a new type of quantum cryptography measurement matrix is constructed using quantum cryptography with good randomness. In addition, through further orthogonalization and normalization of the matrix, the matrix has both good randomness and orthogonality, and high-quality imaging results can be obtained at a low sampling rate. The feasibility and effectiveness of the method are verified by simulation imaging experiments. Compared with the traditional GI system, the method proposed in this paper has higher transmission security and high-quality imaging under this premise, which provides a new idea for the practical development of CGI technology.

Quantum key distribution (QKD) systems have extremely strict requirements for random numbers. Random selection of basis vector is required when modulating the quantum state. The quality of randomness directly determines the security of final keys. The randomness of pseudorandom numbers based on mathematical algorithms depends on input seeds. As pseudorandom numbers may be cracked when used frequently, they cannot meet requirements of QKD protocols for random numbers. The output of the quantum random number generator is basis on the quantum mechanics intrinsic randomness, and is generally considered to have true randomness. In order to verify the randomness of quantum key generated by the cold region practical QKD system, BB84 protocol-based without post-processing, polarization-coded postprocessing, phase-coded post-processing QKD systems were constructed, which generated three types of quantum keys as data sources to be analyzed. Meanwhile, pseudorandom keys generated by chaos algorithms and physical random keys generated by atmospheric noises were introduced for comparison. The experiment adopted national institute of standards and technology (NIST) to implement routine verification on stochastic performances of five keys. Additionally, we proposed a novel visualized randomness verification method based on statistical feature parameters. The results indicated that the quantum key generated by QKD systems with post-processing had superior stochastic performance.

This work researches the problem of searching for multiple homogeneous polynomial Lyapunov functions (HPLFs) for heterogeneous switched linear systems. First, a nonconvex optimization condition is constructed to study the stability property of heterogeneous switched systems, where each Lyapunov function candidate reduces dimension to their corresponding matrix eigenvalue. Based on the stability analysis condition, a controller-dependently multiple HPLFs condition is introduced to determine controllers and explores locally minimum mode-dependent average dwell time (LMMDADT). Additionally, the existing properties condition and solvable properties condition of controllers are given in the form of HPLFs. At last, a practical example and a contrast example are both presented to show feasibility of the proposed results.

Heterogeneous switched systems are a class of special hybrid systems containing different dimensional subsystems. To research the stability and stabilisation of heterogeneous switched systems, a novel approach is presented to design static output feedback controllers for asymptotically stabilising heterogeneous continuous-time and discrete-time switched systems under arbitrary switching rules. This approach, which has less computation complexity, includes a main diagonal square block common Lyapunov function for stability analysis of heterogeneous switched systems and a main diagonal square block common homogeneous polynomial Lyapunov function for stabilisation of heterogeneous switched systems. In the study of stabilisation of heterogeneous switched systems, a two-step iterative method including two convex optimisation functions is established by sums of squares to express existing properties condition and solvable properties condition for determining block controller. At last, a practical example and two numerical examples are presented to show the feasibility of the proposed results.

At present, most watermarking algorithms use pseudo-random number sequences as watermarks, and the design of the algorithm is more focused on improving the concealment and robustness.The common problem is poor security of the watermark itself.At the same time, the frequency domain algorithm also has poor concealment.Based on quantum secure communication technology, this paper proposes a new frequency domain watermark embedding and extraction algorithm for secure communication.The algorithm, based on the principle of the BB84 protocol, uses the quantum key with true randomness generated by the mechanism for distributing the quantum key as the data source for preparing watermarks.Simultaneously, the quantum key is combined with the frequency domain wavelet transform watermarking algorithm to embed and extract the watermark.The results indicate that the proposed algorithm has high security, the same robustness as the classical frequency domain watermarking algorithm, and higher concealment than the frequency domain watermarking algorithm.

As a high-speed and reliable serial communication bus, the FlexRay bus has gradually become the mainstream of vehicle network systems. In order to verify the feasibility of the bus technology in aerospace applications, this paper designs a FlexRay communication node based on TI's high-performance microcontroller TMS570LS3137 for security systems. In the whole system, with the DSP of core, the FlexRay communication protocol is achieved by using the bus controller TJA1080 to carry out data transmission. This method is suitable for data transmission of pint and medium-sized UAV (unmanned air vehicles) flight control system with high integration and high transmission rate.

Data transmission in the traditional video conference system is facing certain security risks currently, for which an experiment scheme for application of quantum key in the traditional video conference system is designed in this paper. As for this scheme, quantum gateway is seamlessly embedded into the traditional video conference system, based on which data transmitted through video conference system can be encrypted by the quantum key generated by such quantum gateway. Based on the reality of relatively low code generation rate of quantum key of quantum gateway, a new quantum key expansion algorithm is put forward and feasibility of such algorithm is verified by using NIST frequency test standard. Quantum keys with different error rates are used to conduct encryption and decryption of three 720p single-screen video images respectively, in addition to which Peak Signal to Noise Ratio (PSNR) of the original images and decrypted images are calculated. It can be proved through comparison between such values and theoretical calculated values that quantum key can ensure normal image quality of video. This experiment is of great significance for applying quantum key in real video conference systems and ensuring security of video data transmission.

Specific to security issues concerning identity authentication of mobile applications, a quantum identity authentication protocol based on optical transmission and face recognition is put forward in this paper with consideration of the unconditional security characteristic of quantum key. As for this protocol, optical transmission technology is adopted to acquire quantum key and identity authentication encrypted by quantum key can thus be realized, for which key feature points of face image and user password serve as dual authentication factors. Experimental result and security analysis indicate that this protocol can resist illegal attack and ensure security of identity authentication of mobile applications, which also has great operating efficiency.

The wind field plays an important role in air-ground guided weapons. In this paper, we design a wind correction algorithm for WCMD based on the integrated navigation information. Firstly, the WCMD 6DOF simulation model is constructed in MATLAB / simulink environment, and the wind speed and wind direction in the horizontal plane are estimated by vector triangle method. The corresponding proportional navigation law is designed, which modifies the longitudinal and lateral deviation based on the estimated wind speed. Finally, the wind correction simulation of WCMD is performed, and the results show that the wind correction algorithm designed in this paper can ensure the submunitions landing accuracy.

To enhance the efficiency of data searching, most data owners store their data files in different cloud servers in the form of cipher-text. Thus, efficient search using fuzzy keywords becomes a critical issue in such a cloud computing environment. This paper proposes a method that aims at improving the efficiency of cipher-text retrieval and lowering storage overhead for fuzzy keyword search. In contrast to traditional approaches, the proposed method can reduce the complexity of Min-Hash-based fuzzy keyword search by using Min-Hash fingerprints to avoid the need to construct the fuzzy keyword set. The method will utilize Jaccard similarity to rank the results of retrieval, thus reducing the amount of calculation for similarity and saving a lot of time and space overhead. The method will also take consideration of multiple user queries through re-encryption technology and update user permissions dynamically. Security analysis demonstrates that the method can provide better privacy preservation and experimental results show that efficiency of cipher-text using the proposed method can improve the retrieval time and lower storage overhead as well.

With the development of aerospace technology, the flight control system is getting more and more important for a UAV (Unmanned Aerial Vehicle) flying safely and efficiently. For collecting the experimental data without delay, this paper briefly reviews the design of the communication scheme, and provides the implemented results. Through using the controller LPC1768 to expand the serial port, and the Ethernet controller DP83848 to complete the communication by UDP protocol, it turns out that this method is able to reach the real-time requirements of the UAV semi-physical simulation.

A 6DOF mathematical model of the "H" type quadrotor prototype is developed by the Newton-Euler method to analyze the complex nonlinear position and attitude control problems in this paper. Then the PID controllers are designed for the control of the horizontal position of the quadrotor. The adaptive backstepping sliding mode controllers are designed for the altitude and attitude control of the quadrotor and the stability is proved based on Lyapunov function. Finally, simulation is carried out under the MATLAB/Simulink. The simulation results show that the controllers we designed can effectively realize the control of the quadrotor model, and the method has good tracking and anti-interference ability.

Based on the "H" type quadrotor prototype, a 6DOF mathematical model is developed by the Newton-Euler method in order to proceed the research of position and attitude control of complex nonlinear problems. Then, in this context equivalent sliding mode controllers are designed to solve the altitude and attitude control of the quadrotor in addition that PID controllers are designed for the horizontal position control. At last, simulations are carried out under MATLAB/Simulink simulation environment. The simulation results illustrate that the designed controllers effectively realize the control of the quadrotor revealing good tracking ability and anti - interference ability.