Chongqing University of Posts and Telecommunications

Magara T., Zhou Y.

The adoption of IoT in healthcare revolutionizes remote patient monitoring and healthcare efficiency. Yet, it brings notable security and privacy challenges, particularly in resource-constrained environment. We propose a secure and efficient three-factor lightweight mutual authentication and key agreement scheme, designed for IoT-based smart healthcare systems, addressing these critical concerns. The scheme employs a fuzzy extractor, a one-way hash function, Elliptic Curve Discrete Logarithm and XOR operations for efficient cryptographic transformations, creating a robust framework for secure data handling. The scheme's design focuses on security and privacy while minimizing computational demands, making it ideal for resource-constrained IoT devices. We utilized both informal and formal security analyses to validate our scheme, employing the Random Oracle Model (ROM), Scyther tool and Burrows-Abadi-Needham (BAN) logic. The security and performance analysis showed that our scheme offers more security features across 15 defined criteria with minimal communication and computational costs compared to other related schemes. The scheme is not only robust against security threats but also practical for implementation in IoT healthcare environment, offering a solution for secure IoT communication by achieving mutual authentication and key agreement with minimized computational requirements.

Hu Z., Zhou M., Ma Y., Wang J., Yin Z., Gerardot B.D.

Gao Q., Li F., Wang Q., Gao X., Tao D.

Li S., Zhang S., Zhang C., Liu L., Zhang X.

He P., Lei H., Wu D., Wang R., Cui Y., Zhu Y., Ying Z.

Li L., Zhang Y., Yuan L., Li S., Gao X.

Wang L., He J., Geng G., Zhong L., Li X.

Tang L., Zhang Z., Wang A., Chen Q.

Gu B., Li D., Xie H., Yu K., Guan Q., Xu Y.

Xie J., Zhang Y., Wang L., Deng Y.

NGS sequencing data are expanding exponentially, accompanied by a concomitant growth in non-target species contamination. Meanwhile, these seemingly undesirable sequences can actually provide valuable insights into the broad-scale diversity and distribution of their parasites or symbionts. In this study, we developed a pipeline called DBCscreen (DNA Barcode Contamination screen) to explore biodiversity and distribution across a broad range of living organisms, based on a DNA barcode contamination survey. We used DBCscreen to screen 39,302 eukaryotic assemblies in the NCBI TSA/WGS database, and after stringent filtering, we ultimately identified 110,880 contaminated contigs related to DNA barcodes in 10,717 assemblies. Subsequently, the taxonomic information of these contaminants was determined, and their heterogeneous distribution patterns revealed complex relationships between the hosts (assembly source) and their associated parasites or symbionts (contaminants). Finally, several application examples demonstrating the use of DBCscreen were described, such as identification of the most easily contaminated organisms associated with a specific host (ex. ticks), as well as the specification of which hosts are particularly prone to certain types of contamination (ex. Wolbachia and nematodes).

Zhao S., Zhu L., Shen S., Du H., Wang X., Chen L., Wang X.

Laser space networks are an important development direction for inter-satellite communication. Detecting the angle of arrival (AOA) of multiple satellites in a wide field of view (FOV) is the key to realize inter-satellite laser communication networking. The traditional AOA detection method based on the lens system has a limited FOV. In this paper, we demonstrate a system that uses a spatially distributed sensor array to detect the AOA in a wide FOV. The basic concept is to detect AOA using the signal strength of each sensor at different spatial angles. An AOA detection model was developed, and the relationship of key structural parameters of the spatially distributed sensor array on the FOV and angular resolution was analyzed. Furthermore, a spatially distributed sensor array prototype consisting of 5 InGaAs PIN photodiodes distributed on a 3D-printed structure with an inclination angle of 30° was developed. In order to improve the angle calculation accuracy, a multi-sensor data fusion algorithm is proposed. The experimental results show that the prototype’s maximum FOV is 110°. The root mean square error (RMSE) for azimuth is 0.6° within a 60° FOV, whereas the RMSE for elevation is 0.67°. The RMSE increases to 1.1° for azimuth and 1.7° for elevation when the FOV expands to 110°. The designed spatially distributed sensor array has the advantages of a wide FOV and low size, weight, and power (SWaP), presenting great potential for multi-satellite laser communication applications.

Bian X., Ding Y., Li R., Shou M., Yang P.

Flexible grippers based on magnetically sensitive rubber have garnered significant research attention due to their high gripping adaptability and ease of control. However, current research designs often separate the excitation device from the flexible finger, which can lead to potential interference or damage to other electronic components in the working environment and an inability to simultaneously ensure safety and gripping performance. In this paper, we propose an integrated magnetically controlled bionic flexible gripper that combines the excitation device and the flexible finger. We derive a formula for calculating the magnetic field generated by the excitation device, model and simulate the device, and find that the optimal magnetic field effect is achieved when the core-to-coil size ratio is 1:5. Additionally, we fabricated flexible fingers with different NdFeB volume ratios and experimentally determined that a volume ratio of 20% yields relatively better bending performance. The integrated magnetically controlled bionic flexible gripper described in this paper can adaptively grasp items such as rubber, column foam, and electrical tape, achieving maximum grasping energy efficiency of 0.524 g per millitesla (g/mT). These results highlight its potential advantages in applications such as robotic end-effectors and industrial automatic sorting.

Xu P., Luo C., Huang C., Chen G., He Y., Li Y., Wong K.

Zhao W., Xiao Y., Li T., Wang R., Li Q., Wang G.

Shen J., Yang L., Long L., Tan Z., Gao C., Zhong K., Okita M., Ino F.

Solid State Drives (SSDs) based on the NVMe Zoned Namespaces (ZNS) interface can notably reduce the costs of address mapping, garbage collection, and over-provisioning by dividing the storage space into multiple zones for sequential writes and random reads. The Log-Structured Merge (LSM) tree, which is extensively used in key-value storage systems, converts random writes to sequential writes, hence a suitable scenario to utilize ZNS SSDs. However, LSM tree associated data significantly varies in lifetime due to the levels and merging mechanisms of the LSM tree. Therefore, without an accurate method to estimate data lifetime, data with disparate lifetimes may be placed in the same zone, thus causing low space utilization and high write amplification within the SSD. To address these issues, the paper proposes two data overlapping aware optimizations to realize intelligent data placement: a zone allocation scheme and a garbage collection scheme. The key technique of these optimizations is an accurate data-lifetime estimation by considering both the associated tree level of the data and the data overlapping ratio between the data and those in the neighboring level. Using the estimation technique, the zone allocation optimization can place data with similar lifetimes in the same zone. Besides, the garbage collection optimization can reclaim zones in an adaptive manner based on overlapping ratios to reduce the amount of data migration. Experimental results demonstrate that the optimization schemes effectively reduce garbage collection-incurred data copy by average factors of 2.11 × and 1.50 × in comparison to a conventional work and a state-of-the-art work, respectively. Consequently, the proposed work successfully alleviates the write amplification effect by 18% and 6%, compared to the conventional work and the state-of-the-art work, respectively.