Cyber Security
19th China Annual Conference, CNCERT 2022, Bei**g, China, August 16–17, 2022, Revised Selected Papers
Article
Knowledge mining is a widely active research area across disciplines such as natural language processing (NLP), data mining (DM), and machine learning (ML). The overall objective of extracting knowledge from d...
Book and Conference Proceedings
19th China Annual Conference, CNCERT 2022, Bei**g, China, August 16–17, 2022, Revised Selected Papers
Book and Conference Proceedings
18th China Annual Conference, CNCERT 2021, Bei**g, China, July 20–21, 2021, Revised Selected Papers
Chapter and Conference Paper
With the continuous growth of enterprises’ digital transformation, business-driven cloud computing has seen tremendous growth. The security community has proposed a large body of technical mechanisms, operatio...
Book and Conference Proceedings
17th China Annual Conference, CNCERT 2020, Bei**g, China, August 12, 2020, Revised Selected Papers
Chapter and Conference Paper
In the originally published version of chapter 12, the first affiliation stated a wrong city and country. This has been corrected.
Chapter and Conference Paper
We give a lattice reduction algorithm that achieves root Hermite factor \(k^{1/(2k)}\) in time
Chapter and Conference Paper
We prove that the module learning with errors ( \(\mathrm {M\text {-}LWE}\) ...
Book and Conference Proceedings
15th International Annual Conference, CNCERT 2018, Bei**g, China, August 14–16, 2018, Revised Selected Papers
Chapter and Conference Paper
The rapid, efficient and non-destructive 3D morphological data acquisition of plants are great significance to the study of digital plant, functional structural plant model and crop phenotype. This paper discu...
Chapter and Conference Paper
With the market share of Android system becoming the first in the world, the security problem of Android system is becoming more and more serious. How to effectively detect Android malware has become a signifi...
Chapter and Conference Paper
In order to realize three-dimensional reconstruction of canopy at different growth stages of fruit trees, 3D data acquisition methods and canopy reconstruction methods were studied. Based on the analysis of mo...
Chapter and Conference Paper
In recent years, three-dimensional (3D) data acquisition and model reconstruction of plants have been developed as a hot topic of plant scientific researches. However, the morphological structure of plants is ...
Chapter and Conference Paper
A high precise and high realistic three-dimensional wheat canopy model is important in modern agriculture. In this paper, we proposed a 3D reconstruction and quantitative calculation for phenotype analysis met...
Chapter and Conference Paper
The hardness of the learning with errors (LWE) problem is one of the most fruitful resources of modern cryptography. In particular, it is one of the most prominent candidates for secure post-quantum cryptograp...
Chapter and Conference Paper
The Blockwise-Korkine-Zolotarev (BKZ) lattice reduction algorithm is central in cryptanalysis, in particular for lattice-based cryptography. A precise understanding of its practical behavior in terms of run-ti...
Chapter and Conference Paper
The quality assessment of a high dynamic image is a challenging task. The few available no reference image quality methods for high dynamic range images are generally in evaluation stage. The most available i...
Chapter and Conference Paper
In the past twenty years, CCD sensor has made huge progress in improving resolution and low-light performance by hardware. However due to physical limits of the sensor design and fabrication, fill factor has b...
Chapter and Conference Paper
Data missing was always when scanning plant organs by using 3D laser scanner, and this could lead to holes appearing in the mesh surface generated from the scanned point cloud. Basing on the analyzing to the g...
Chapter and Conference Paper
Effectively addressing the portability of a computer mouse has motivated researchers to generate diverse solutions. Eliminating the constraints of mouse form factor by adopting vision-based techniques has reco...