2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD)

2017 ◽  
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Science ◽  
Computational Science ◽  
Applied Informatics

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

scholarly journals Social Network Extraction Unsupervised

2021 ◽  
Vol 12 (3) ◽  
pp. 4443-4449
Author(s):  
Mahyuddin K. M. Nasution Et.al
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Information Technology ◽  
Big Data ◽  
Social Network ◽  
Data Science ◽  
Information Sources ◽  
Scientific Data

In the era of information technology, the two developing sides are data science and artificial intelligence. In terms of scientific data, one of the tasks is the extraction of social networks from information sources that have the nature of big data. Meanwhile, in terms of artificial intelligence, the presence of contradictory methods has an impact on knowledge. This article describes an unsupervised as a stream of methods for extracting social networks from information sources. There are a variety of possible approaches and strategies to superficial methods as a starting concept. Each method has its advantages, but in general, it contributes to the integration of each other, namely simplifying, enriching, and emphasizing the results.

scholarly journals Research on Informatization Strategies of Education and Teaching Management in Higher Vocational Colleges in the Era of Cloud Computing and Big Data

2020 ◽  
Vol 9 (7) ◽  
pp. 148
Author(s):  
Xiaozheng Yang
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Vocational Education ◽  
Information Management ◽  
Higher Vocational Education ◽  
Teaching Management ◽  
Sustainable Future ◽  
Vocational Colleges ◽  
Teaching Information

At present, with the development of information technology, cloud computing and big data have been integrated into various industries in society, and they also have a relatively prominent performance in education and teaching management. The greatly enhanced efficiency of education and teaching information management in universities is a sustainable future for universities. The inevitable choice for sending letters. This article studies and discusses the informatization strategy of education and teaching management in higher vocational colleges in the era of cloud computing and big data, hoping to provide some useful suggestions for the development of higher vocational education in our country.

A Review of Security Challenges in Cloud Storage of Big Data

2019 ◽  
pp. 1440-1459
Author(s):  
Sara Usmani ◽  
Faiza Rehman ◽  
Sajid Umair ◽  
Safdar Abbas Khan
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Cloud Storage ◽  
Personal Data ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
The People

The novel advances in the field of Information Technology presented the people pleasure, luxuries and ease. One of the latest expansions in the Information Technology (IT) industry is Cloud Computing, a technology that uses the internet for storage and access of data. It is also known as on-demand computing. The end user can access personal data and applications anywhere any time with a device having internet. Cloud Computing has gained an enormous attention but it results in the issues of data security and privacy as the data is scattered on different machines in different places across the globe which is a serious threat to the technology. It has many advantages like flexibility, efficiency and scalability but many of the companies are hesitant to invest in it due to privacy concerns. In this chapter, the objective is to review the privacy and security issues in cloud storage of Big Data and to enhance the security in cloud environment so that end users can enjoy a trustworthy and reliable data storage and access.

scholarly journals Individualized Teaching and Teaching Process Evaluation for International Trade Students Based on Information Techniques

2019 ◽  
Vol 14 (23) ◽  
pp. 221
Author(s):  
Yanan Zhao
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
International Trade ◽  
Evaluation System ◽  
Training Model ◽  
Teaching Process ◽  
Education Industry ◽  
The World ◽  
Individualized Teaching

With the boom in information technology, countries around the world are competing the information the education industry. However, there is not yet a well-established standard to evaluate students’ capabilities in the teaching process based on information techniques. To solve the problem, this paper introduces the latest information techniques, such as big data and cloud computing, into the teaching of international trade, designs an individualized teaching system based on student portrait, and constructs an intelligent evaluation system of the teaching process. On this basis, several suggestions were put forward on the reform of the training model of international trade students. This research provides new insights on the evaluation and improvement of the teaching effect in the department of international trade.

scholarly journals The Change of Judicial Power in China in the Era of Artificial Intelligence

2021 ◽  
pp. 1-16
Author(s):  
Weidong JI
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cloud Computing ◽  
Big Data ◽  
Rule Of Law ◽  
Judicial Power ◽  
Law System ◽  
The Face ◽  
Legal Expert ◽  
Survival Of The Fittest

Abstract The singularity of artificial intelligence (AI), which transcends human intelligence to play the role of God, is imminent. In this context, the Chinese judicial system has gained some latecomer advantage, with the help of information technology, the Internet, big data, cloud computing, and AI to improve the efficiency and transparency of case handling. The trial process has undergone extensive and profound qualitative mutations. This represents a challenge to the institutional arrangements of the modern rule of law. At this stage, we should adopt a cautious and prudent attitude towards the design and application of legal-expert systems as well as machine learning. Especially from the aspect of computer sentencing, it is even more necessary to avoid a rush for quick results, and there is no need to completely exclude the judge’s discretion and free evaluation of the evidence through inner conviction. The finality of the judicial power is destined to choose a correct final solution through a debate on the survival of the fittest mechanism. In the face of such a modern rule-of-law system, big data, cloud computing, information technology, and AI are just auxiliary means to achieve legal justice. It is impossible to put the cart before the horses. This is a basic principle that we should always bear in mind.

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