Android Malware Detection Using Local Binary Pattern and Principal Component Analysis

Nowadays,analysis methods based on big data have been widely used in malicious software detection.Since Android has become the dominator of smartphone operating system market,the number of Android malicious applications are increasing rapidly as well,which attracts attention of malware attackers and researchers alike.Due to the endless evolution of the malware,it is critical to apply the analysis methods based on machine learning to detect malwares and stop them from leakaging our privacy information.In this paper,we propose a novel Android malware detection method based on binary texture feature recognition by Local Binary Pattern and Principal Component Analysis,which can visualize malware and detect malware accurately.Also,our method analyzes malware binary directly without any decompiler,sandbox or virtual machines,which avoid time and resource consumption caused by decompiler or monitor in this process.Experimentation on 5127 benigns and 5560 malwares shows that we obtain a detection accuracy of 90%.

Chemical profiling and histochemical analysis of Bupleurum marginatum roots from different growing areas of Hubei province

Bupleuri Radix has been widely used in traditional Chinese medicine.In the current herbal market,the species Bupleurum marginatum Wall.ex DC.is the main source of Bupleuri Radix.Although Bupleuri Radix from the roots of B.marginatum grown wild in the North West of Hubei province has higher quality compared with those from other regions according to the previous investigations,the exhaustive exploitation driven by increasing demand has drastically reduced the wild resource.As a result,germplasm evaluation and quality resource exploration are important for the sustainable utilization and cultivation of B.marginatum.A preliminary study indicated differences in the tissue structure of B.marginatum grown in different areas of North Western Hubei province.In the current study,various tissues of the roots of B.marginatum grown in different areas of North Western Hubei were subjected to laser microdissection and analyzed by microscopy and ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry(UHPLC–Q-TOF-MS).The results show that wild plants from Maqiao Town,Baokang County contain the most saikosaponins distributed mainly in cork,cortex and phloem.This study provides key chemical information for evaluating the quality of B.marginatum roots.

Targeting 5-HT as a Potential Treatment for Social Deficits in Autism

One of the most devastating symptoms of autism spectrum disorder(ASD),which affects~0.70%of children in China' Mainland[1],is compromised social skills[2].As it is critical for individuals'survival and adaptive behavioral developments,those diagnosed with ASD may constantly battle the difficulties of mundane social interactions.Although noted and assessed by physicians,psychiatrists.