Fine-Grained Binary Analysis Method for Privacy Leakage Detection on the Cloud Platform

Nowadays cloud architecture is widely applied on the internet.New malware aiming at the privacy data stealing or crypto currency mining is threatening the security of cloud platforms.In view of the problems with existing application behavior monitoring methods such as coarse-grained analysis,high performance overhead and lack of applicability,this paper proposes a new fine-grained binary program monitoring and analysis method based on multiple system level components,which is used to detect the possible privacy leakage of applications installed on cloud platforms.It can be used online in cloud platform environments for fine-grained automated analysis of target programs,ensuring the stability and continuity of program execution.We combine the external interception and internal instrumentation and design a variety of optimization schemes to further reduce the impact of fine-grained analysis on the performance of target programs,enabling it to be employed in actual environments.The experimental results show that the proposed method is feasible and can achieve the acceptable analysis performance while consuming a small amount of system resources.The optimization schemes can go beyond traditional dynamic instrumentation methods with better analytical performance and can be more applicable to online analysis on cloud platforms.

Genome-wide characterization of early response genes to abscisic acid coordinating multiple pathways in Aegilops tauschii

The diploid wild goat grass Aegilops tauschii(Ae. tauschii, 2 n = 14;DD), as the D-sub genome of common wheat, provides rich germplasm resources for many aspects of wheat breeding. Abscisic acid(ABA) is an essential phytohormone that plays a pivotal role in plant adaptation to abiotic stresses. However,the gene regulation network of Ae. tauschii in response to ABA stress remains unclear. Here, we conducted a time-course strand-specific RNA-sequencing study to globally profile the transcriptome that responded to ABA treatment in Ae. tauschii. We identified 4818 differentially expressed transcription units/genes with time-point-specific induction/repression patterns. Using functional annotation, one-to-one ortholog and comparative transcriptome profiling analyses, we identified 319 ABA-responsive Ae. tauschii orthologs that were also induced/repressed under ABA treatment in hexaploid wheat. On the quantitative trait loci(QTL) used in wheat marker-assisted breeding, we found that the ABA-responsive expression patterns of eight Ae. tauschii orthologs were associated with drought stress tolerance, flowering process and/or grain quality. Of them, the ABA-responsive gene encoding sucrose:sucrose 1-fructosyltransferase in fructan and glucose metabolism pathways showed the most significant association with wheat drought tolerance. The characterization of ABA early-responsive genes in this study provides valuable information for exploring the molecular functions of the regulatory genes and will assist in wheat breeding.

Integrated analysis reveals an association between the rhizosphere microbiome and root rot of arecanut palm

The rhizosphere microbial community is crucial to plant health.Many studies have explored the association between the rhizosphere microbiome and plant disease.However,few studies have focused on root rot in arecanut palm,a disease causing devastating effects and thus resulting in economic losses that considerably affect the development of the arecanut industry.Here,rhizosphere samples were collected from both healthy arecanut palm plants and root-rotted arecanut palm plants,and the microbial communities were analyzed using high-throughput sequencing.The root-rotted samples exhibited distinct microbial community richness,diversity,and composition compared with the healthy samples,which was associated with p H according to the Mantel test.Identified potential plant pathogens,including Proteobacteria,Bacteroidetes,Chytridiomycota,and Mortierellomycota,were significantly enriched in the root-rotted samples.In contrast,potentially beneficial plant microbes,such as Acidobacteria and Gemmatimonadetes,were significantly depleted in the root-rotted samples.Co-occurrence networks were constructed to further identify microbial relationships in the root-rotted samples.These findings revealed ecological imbalance among beneficial bacteria in the root-rotted samples.The present study therefore provides an integrated view of the association between the microbial community and root rot in arecanut palm.