A Scientometric Analysis of Malware Detection Research Based on CiteSpace

2020 ◽  
pp. 100-110
Author(s):  
Budong Xu ◽  
Yongqin Li ◽  
Xiaomei Yu
Keyword(s):  
Malware Detection ◽  
Scientometric Analysis

Smart Malware Detection: From Signatures to Artificial Intelligence

2020 ◽  
Author(s):  
Jannatul Ferdaos ◽  
Chandani Vaya ◽  
Anchal Bhalla ◽  
Ami Tharayil ◽  
May El Barachi
Keyword(s):  
Artificial Intelligence ◽  
Malware Detection

All the Faces of Research on Borderline Personality Pathology: Drawing Future Trajectories through a Network and Cluster Analysis of the Literature

2020 ◽  
Vol 20 (2) ◽  
pp. 3-30
Author(s):  
Ilaria M.A. BENZI ◽  
Rossella DI PIERRO ◽  
Pietro DE CARLI ◽  
Ioana Alina CRISTEA ◽  
Pietro CIPRESSO
Keyword(s):  
Developmental Trajectories ◽  
Borderline Personality ◽  
Scientometric Analysis ◽  
Behavioral Regulation ◽  
Comprehensive Overview ◽  
Severe Condition ◽  
Treatment Protocols ◽  
Initial Development ◽  
Cognitive Neurosciences ◽  
And Cluster Analysis

"Borderline Personality Disorder is a severe condition that affects self and interpersonal dimensions and emotional and behavioral regulation. Since the last decades of the 20th century, an impressive amount of research and clinical contributions on BPD came from specific fields such as psychiatry, clinical psychology, psychopharmacology, and, more recently, cognitive neuroscience. All contributions tackled the challenges of finding reliable diagnostic categories, highlighting detailed developmental trajectories, and fostering effective treatment protocols. However, as results come from different areas, it is often challenging to depict a coherent and yet multifaceted framework on this topic. In this study, we conducted a scientometric analysis of the available literature on BPD to provide a systematic and comprehensive overview of research on BPD and emphasize historical changes, intertwining between fields and new areas of investigation. Results clearly show the evolution of research on BPD starting from the initial development of the construct, passing through the studies on treatment efficacy, the results of longitudinal studies, the advances in cognitive neurosciences, and the recent dimensional conceptualization in DSM-5. Moreover, it emphasizes promising areas of investigation, such as the relations of BPD with NSSI, ADHD, and vulnerable features of narcissism."

A Theoretical Feature-wise Study of Malware Detection Techniques

2018 ◽  
Vol 6 (12) ◽  
pp. 879-887
Author(s):  
Om Prakash Samantray ◽  
Satya Narayana Tripathy ◽  
Susant Kumar Das
Keyword(s):  
Malware Detection ◽  
Detection Techniques

Network Analysis of the Integration Level of the Universities Participating in Project 5-100 in the International Higher Education Area

2019 ◽  
Vol 28 (11) ◽  
pp. 155-167
Author(s):  
P. A. Zhdanov ◽  
N. A. Polikhina ◽  
E. Yu. Sema ◽  
L. V. Kazimirchik ◽  
I. B. Trostyanskaya ◽  
...  
Keyword(s):  
Higher Education ◽  
Network Analysis ◽  
International Education ◽  
Russian Federation ◽  
Education System ◽  
Point Of View ◽  
International Higher Education ◽  
Scientometric Analysis ◽  
Higher Education System ◽  
The Russian Federation

The paper analyzes measures adopted by the Russian Federation on internationalization and globalization of the higher education system, its integration into the international scientific and education area. One of the initiatives of the authorities of the Russian Federation in this direction is Project 5-100, designed to increase the competitiveness of both a selected group of universities and the Russian higher education system as a whole. Among the successful practices of Project 5-100, one can identify the presentation of a single stand of participating universities at the international education exhibitions APAIE, EAIE, NAFSA. Within this study, we explore the cooperation of the universities participating in Project 5-100 with potential international partners at global educational exhibitions by means of network analysis with graphs. The effectiveness of such cooperation from the point of view of integration of the universities from this group into the international higher education area is determined through estimations of the usefulness of participation in such events made by the universities and through scientometric analysis. As a result of this study, it was revealed that active participation in international educational exhibitions including negotiating, establishing contacts with international partners, contributes significantly to the promotion of the universities participating in Project 5-100 in the international arena.

Malware detection based on attributes order reduction

2011 ◽  
Vol 31 (4) ◽  
pp. 1006-1009
Author(s):  
Ning GUO ◽  
Xiao-yan SUN ◽  
He LIN ◽  
Hua MOU
Keyword(s):  
Malware Detection ◽  
Order Reduction

Android Malware Detection Techniques: A Literature Review

2020 ◽  
Vol 14 ◽  
Author(s):  
Meghna Dhalaria ◽  
Ekta Gandotra
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Malware Detection ◽  
Future Research ◽  
Android Malware ◽  
Detection Techniques ◽  
Android Malware Detection ◽  
Future Research Directions ◽  
To Come ◽  
Tools And Techniques

Purpose: This paper provides the basics of Android malware, its evolution and tools and techniques for malware analysis. Its main aim is to present a review of the literature on Android malware detection using machine learning and deep learning and identify the research gaps. It provides the insights obtained through literature and future research directions which could help researchers to come up with robust and accurate techniques for classification of Android malware. Design/Methodology/Approach: This paper provides a review of the basics of Android malware, its evolution timeline and detection techniques. It includes the tools and techniques for analyzing the Android malware statically and dynamically for extracting features and finally classifying these using machine learning and deep learning algorithms. Findings: The number of Android users is expanding very fast due to the popularity of Android devices. As a result, there are more risks to Android users due to the exponential growth of Android malware. On-going research aims to overcome the constraints of earlier approaches for malware detection. As the evolving malware are complex and sophisticated, earlier approaches like signature based and machine learning based are not able to identify these timely and accurately. The findings from the review shows various limitations of earlier techniques i.e. requires more detection time, high false positive and false negative rate, low accuracy in detecting sophisticated malware and less flexible. Originality/value: This paper provides a systematic and comprehensive review on the tools and techniques being employed for analysis, classification and identification of Android malicious applications. It includes the timeline of Android malware evolution, tools and techniques for analyzing these statically and dynamically for the purpose of extracting features and finally using these features for their detection and classification using machine learning and deep learning algorithms. On the basis of the detailed literature review, various research gaps are listed. The paper also provides future research directions and insights which could help researchers to come up with innovative and robust techniques for detecting and classifying the Android malware.

The theme trends and knowledge structure of H19 gene in cancer research: a scientometric analysis (Preprint)

2019 ◽  
Author(s):  
Zhigang Cui ◽  
Zhihua Yin ◽  
Lei Cui
Keyword(s):  
Cancer Research ◽  
Social Network ◽  
Citation Analysis ◽  
High Frequency ◽  
Cancer Metastasis ◽  
Intellectual Structure ◽  
Scientometric Analysis ◽  
Research Areas ◽  
Pivotal Study ◽  
Matrix Construction

BACKGROUND Background:H19 gene is maternally expressed imprinted oncofetal gene. This study aimed to explore distribution pattern and intellectual structure of H19 in cancer. OBJECTIVE Published scientific 826 papers related to H19 from Jan 1st, 2000 to March 22st, 2019 were obtained from the Web of Science core collection. METHODS We performed extraction of keywords and co-word matrix construction using BICOMB software. Then gCLUTO software, ucinet, excel software, Citespace, Vosviewer were successfully used for double -cluster analysis, social network analysis, Strategic coordinate analysis, co-citation analysis, and journal analysis. RESULTS We analyzed the distributions of included article of H19, identified 34 high-frequency keywords and classified them into 6 categories. Through co-word analysis and co-citation analysis for these categories, we identified the hotspot areas and intellectual basis about H19 in cancer research. Then the prospects of hotspots and their associations were accesssed by strategic coordinate diagrams and social network diagrams. CONCLUSIONS 6 research categories of 34 high-frequency keywords could represent the theme trends on H19 to some extent. Mir-675, cancer metastasis and risk, Wnt/β-catenin signaling pathway, SNP, and ceRNA network were core and mature research areas in this field. There is a lack of promising areas of H19 research. Matouk(2006) article play a key role in H19 research, and Murphy SK(2006)and Luo M(2013) articles serve knowledge transmission as pivotal study.

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