scholarly journals Research on Intelligent Perception and Cognitive Computing of Information Security System Based on Computer Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yi Guan ◽  
Qian Chen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Situation Awareness ◽  
Social Life ◽  
Situational Awareness ◽  
Cognitive Computing ◽  
Daily Production ◽  
Specific Implementation ◽  
Awareness System ◽  
Big Data Technology

Since the 21st century, the development of network technology has entered a new stage, and mankind has gradually entered the era of big data with information explosion. Computer big data technology has changed people’s lifestyles. People can obtain information and materials without going out to provide convenience for people’s lives. But it is affected in many ways, but we will also encounter some difficulties in the process of using it. Informatization has had a profound impact on many areas of human social life. Especially in the context of global informationization, the information security (IS) problems encountered by China at this stage are more prominent and obvious than ever before. IS issues have also become a hot topic for many scholars to pay attention to and study. Informatization has gradually penetrated into every aspect of daily production work. However, the flow of enterprise informatization has made the public suffer from IS problems while improving office efficiency. This paper analyzes the shortcomings of current enterprise IS situation awareness; studies the construction of enterprise IS situation awareness system through big data technology, artificial intelligence algorithm, and threat intelligence technology; and puts forward the enterprise level IS situation awareness system model, situation awareness system, architecture, and specific implementation method. After analyzing the system design and deployment, the threats to corporate IS can be discovered in a more timely manner, and based on risk judgment and threat tracking, the company’s detection capabilities against security threats and security attacks can be improved, and effective security incident handling can be provided. Supported by technical means, the security situational awareness system will bring different protection and prevention to our enterprise.

scholarly journals Research on Internet Information Security in the Big Data Era

2020 ◽  
Vol 218 ◽  
pp. 04008
Author(s):  
Yang Shen
Keyword(s):  
Big Data ◽  
Information Security ◽  
Data Transmission ◽  
Work Experience ◽  
Personal Information ◽  
Great Influence ◽  
Public Security ◽  
Security Systems ◽  
Internet Information ◽  
Big Data Technology

In the era of big data, due to the great influence of big data itself, Internet information security has also become the focus of attention. In order to avoid disturbing people’s lives, this article summarizes the opportunities and challenges in the era of big data based on previous work experience. This article analyzes and studies five aspects including establishing complete laws and regulations, protecting personal information, applying big data technology to public security systems, doing a good job in data management and classification, and ensuring the security of data transmission. The author discusses specific measures for the maintenance of Internet information security in the era of big data from the above five aspects.

scholarly journals Human-Centric Situational Awareness and Big Data Visualization

10.29007/mq54 ◽  
2019 ◽  
Author(s):  
Sri Teja Bodempudi ◽  
Sharad Sharma ◽  
Atma Sahu ◽  
Rajeev Agrawal
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Situation Awareness ◽  
Situational Awareness ◽  
Research Effort ◽  
Data Sets ◽  
Big Data Visualization ◽  
Immersive Environment ◽  
The Given ◽  
Model Graph

Human-centric situational awareness and visualization are needed for analyzing the big data in an efficient way. One of the challenges is to create an algorithm to analyze the given data without any help of other data analyzing tools. This research effort aims to identify how graphical objects (such as data-shapes) developed in accordance with an analyst's mental model can enhance analyst's situation awareness. Our approach for improved big data visualization is two-fold, focusing on both visualization and interaction. This paper presents the developed data and graph technique based on force- directed model graph in 3D. It is developed using Unity 3D gaming engine. Pilot testing was done with different data sets for checking the efficiency of the system in immersive environment and non-immersive environment. The application is able to handle the data successfully for the given data sets in data visualization. The currently graph can render around 200 to 300 linked nodes in real-time.

scholarly journals A Survey on Big Data Research in Fighting COVID-19: Contributions and Techniques

2021 ◽  
Author(s):  
Dianadewi Riswantini ◽  
Ekasari Nugraheni ◽  
Devi Munandar ◽  
Andria Arisal ◽  
Wiwin Suwarningsih
Keyword(s):  
Big Data ◽  
Social Life ◽  
Open Data ◽  
Analytical Techniques ◽  
The Past ◽  
Technology Innovations ◽  
Research Areas ◽  
And Mathematics ◽  
One Year ◽  
Big Data Technology

Abstract COVID-19 has induced many problems in various sectors of life for humanity around the world. After one year of pandemic, many studies have been carried out in exposing various technology innovations and applications to combat the coronavirus that has killed more people than most. The pandemic has accelerated the use of Big Data technology to mitigate the threats of COVID-19. This survey aims to explore the Big Data research for COVID-19. We collected and analyzed the relevant academic articles to identify how Big Data technology can cover the challenges faced in overcoming the pandemic. In determining the research areas addressed by the past studies, we highlight the technology contributions to five major areas of healthcare, social life, government policy, business and management, and the environment. We discuss how analytical techniques of machine learning, deep learning, statistics, and mathematics can solve pandemic issues. The Big Data research for COVID-19 used a wide variety of data sources available publicly or privately. At the end of the discussion, we present the data source used in the past studies encompassing government official data, institutional service data, IoT generated data, online media data, and open data. We hope that this survey will clarify the role of Big Data technology in enhancing the research for COVID-19.

scholarly journals Research on road traffic situation awareness system based on image big data

2020 ◽  
Vol 1650 ◽  
pp. 032170
Author(s):  
Yinghao Zhu ◽  
Yangyang Peng ◽  
Shangzheng Wang ◽  
Shuimeng Shi ◽  
Nan Ji
Keyword(s):  
Big Data ◽  
Situation Awareness ◽  
Road Traffic ◽  
Traffic Situation ◽  
Awareness System

scholarly journals Big Data Research in Fighting COVID-19: Contributions and Techniques

2021 ◽  
Vol 5 (3) ◽  
pp. 30
Author(s):  
Dianadewi Riswantini ◽  
Ekasari Nugraheni ◽  
Andria Arisal ◽  
Purnomo Husnul Khotimah ◽  
Devi Munandar ◽  
...  
Keyword(s):  
Big Data ◽  
Social Life ◽  
Human Life ◽  
Open Data ◽  
Analytical Techniques ◽  
Government Officials ◽  
Big Data Technologies ◽  
And Mathematics ◽  
One Year ◽  
Big Data Technology

The COVID-19 pandemic has induced many problems in various sectors of human life. After more than one year of the pandemic, many studies have been conducted to discover various technological innovations and applications to combat the virus that has claimed many lives. The use of Big Data technology to mitigate the threats of the pandemic has been accelerated. Therefore, this survey aims to explore Big Data technology research in fighting the pandemic. Furthermore, the relevance of Big Data technology was analyzed while technological contributions to five main areas were highlighted. These include healthcare, social life, government policy, business and management, and the environment. The analytical techniques of machine learning, deep learning, statistics, and mathematics were discussed to solve issues regarding the pandemic. The data sources used in previous studies were also presented and they consist of government officials, institutional service, IoT generated, online media, and open data. Therefore, this study presents the role of Big Data technologies in enhancing the research relative to COVID-19 and provides insights into the current state of knowledge within the domain and references for further development or starting new studies are provided.

scholarly journals Challenges of Credit Reference Based on Big Data Technology in China

2021 ◽  
Author(s):  
Cheng-yong Liu ◽  
Chih-Chun Hou
Keyword(s):  
Big Data ◽  
Information Security ◽  
Secure Communication ◽  
Distributed Storage ◽  
Blockchain Technology ◽  
Financial Credit ◽  
Credit Data ◽  
Point To Point ◽  
The Individual ◽  
Big Data Technology

AbstractBig data-based credit reference system gradually attracts wide attention due to its ad-vantages in remedying the shortages of traditional credit reference and dealing with new challenges arising from financial credit management. Nevertheless, this new method is also adapted through different studies and experiments to be problematic with island of credit information and information security. Some researchers begin exploring the possibility of applying blockchain technology to the individual credit reference field. The business links in the individual credit reference can be innovated through the blockchain mechanism so that credit data from different industries get collected through peering points, secure communication and anonymous protection on the basis of such techniques as distributed storage, point-to-point transmission, consensus mechanism and encryption algorithm. In this way, it is feasible to solve island of information and enhance the protection of user information security. A promising future can be expected about the big data-based credit reference, but there are also many problems with blockchain-based credit reference in China.

Sign in / Sign up

Export Citation Format

Share Document