Phenolic Content and Antioxidant and Antimicrobial Activities of Malva sylvestris L., Malva oxyloba Boiss., Malva parviflora L., and Malva aegyptia L.... by Khalid A. Shadid, Ashok K. Shakya, Rajashri R. Naik, Nidal Jaradat, Husni S. Farah, Naeem Shalan, Nooman A. Khalaf, Ghaleb A. Oriquat

“…The current investigation points towards the quantitative characterization of the phenolic contents among the four edible Malva plants species (Malva sylvestris L., Malva oxyloba Boiss., Malva parviflora L., and Malva aegyptia L.) and also towards assessing their antibacterial activity against one Gram-positive isolate (Staphylococcus aureus) and four Gram-negative strains Escherichia coli, Pseudomonas aeruginosa, Shigella sonnei, and Proteus vulgaris. …”
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Homology analysis of malware based on graph by Bing-lin ZHAO, Xi MENG, Jin HAN, Jing WANG, Fu-dong LIU

Subjects: “…malware…”
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Church and State Relations in the Constitution of Malta by Kevin Aquilina

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Study on modern malware analysis system by Yi ZHAO, Jian GONG, Wang YANG

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Influence of Removable Devices' Heterouse on the Propagation of Malware by Xie Han, Yi-Hong Li, Li-Ping Feng, Li-Peng Song

“…The effects of removable devices’ heterouse in different areas on the propagation of malware spreading via removable devices remain unclear. …”
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Malware Analysis Using Visualized Image Matrices by KyoungSoo Han, BooJoong Kang, Eul Gyu Im

“…This paper proposes a novel malware visual analysis method that contains not only a visualization method to convert binary files into images, but also a similarity calculation method between these images. …”
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Power Consumption Based Android Malware Detection by Hongyu Yang, Ruiwen Tang

“…In order to solve the problem that Android platform’s sand-box mechanism prevents security protection software from accessing effective information to detect malware, this paper proposes a malicious software detection method based on power consumption. …”
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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

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A Survey on Adversarial Attacks for Malware Analysis by Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Pradip Kunwar, Bhavani Thuraisingham

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Malware detection approach based on improved SOINN by Bin ZHANG, Lixun LI, Shuqin DONG

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Malware prediction technique based on program gene by Da XIAO, Bohan LIU, Baojiang CUI, Xiaochen WANG, Suoxing ZHANG

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Android malware detection method based on combined algorithm by Hao CHEN, Sihan QING

Subjects: “…malware detection…”
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Android malware detection based on improved random forest by Hong-yu YANG, Jin XU

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Android malware detection method based on SimHash by Bo CHEN, Yong-tao PAN, Tie-ming CHEN

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Research on Android malware detection based on permission and behavior by Xiao-min ZHANG, Jing LUI, Jun-xi ZHUANG, Ying-xu LAI

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Modeling and Analysis of the Spread of Malware with the Influence of User Awareness by Qingyi Zhu, Xuhang Luo, Yuhang Liu

“…By incorporating the security awareness of computer users into the susceptible-infected-susceptible (SIS) model, this study proposes a new malware propagation model, named the SID model, where D compartment denotes the group of nodes with user awareness. …”
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The Impact of COVID-19 on Hospitalised COPD Exacerbations in Malta by Yvette Farrugia, Bernard Paul Spiteri Meilak, Neil Grech, Rachelle Asciak, Liberato Camilleri, Stephen Montefort, Christopher Zammit

“…The first COVID-19 case in Malta was confirmed on the 7th of March 2020. This study is aimed at investigating a significant difference between the number of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) admissions and their inpatient outcome at Mater Dei Hospital during the COVID-19 pandemic when compared to the same period in 2019. …”
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Las malas mujeres de la Biblia by Amalia Pérez Valiño

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Behavior Intention Derivation of Android Malware Using Ontology Inference by Jian Jiao, Qiyuan Liu, Xin Chen, Hongsheng Cao

“…Previous researches on Android malware mainly focus on malware detection, and malware’s evolution makes the process face certain hysteresis. …”
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HTTP behavior characteristics generation and extraction approach for Android malware by Yaling LUO, Wenwei LI, Xin SU

“…Growing of Android malware，not only seriously endangered the security of the Android market，but also brings challenges for detection.A generation and extraction approach of automatic Android malware behavioral signatures was proposed based on HTTP traffic.Firstly，the behavioral signatures were extracted from the traffic traces generated by Android malware.Then，network behavioral characteristics were extracted from the generated network traffic.Finally，these behavioral signatures were used to detect Android malware.The experimental results show that the approach is able to extract Android malware network traffic behavioral signature with accuracy and efficiency.…”
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