Cyber Security Situation Awareness Based on Data Mining

2013 ◽  
Vol 756-759 ◽  
pp. 4336-4342
Author(s):  
Jie Liu ◽  
Xue Wei Feng ◽  
Jin Li ◽  
Dong Xia Wang
Keyword(s):  
Data Mining ◽  
Situation Awareness ◽  
Cyber Security ◽  
State Machine ◽  
Third Generation ◽  
Core Component ◽  
Security Technology ◽  
The Third ◽  
Extension Of State ◽  
Threat Situation

Situation awareness is a kind of the third generation of information security technology, which aims to provide the global security views of the cyberspace for administrators. A framework of cyber security situation awareness based on data mining is proposed in this paper. The framework can be viewed from two perspectives, one is data flow, which presents the abstracting of cyber data, and the other one is logic view, which presents the procedure of situation awareness. The frameworks core component is correlation state machine, which is an extension of state machine. The correlation state machine is a data structure of achieving situation awareness, which is created based on the technology of data mining. After being created, it can be used to assess and predict the threat situation to achieve cyber knowledge. We conclude with an example of how the framework can be applied to real world to provide cyber security situation for administrators.

The Third Generation of Guerrilla Warfare

Asian Survey ◽  
1968 ◽  
Vol 8 (6) ◽  
pp. 435-447 ◽  
Author(s):  
Chalmers Johnson
Keyword(s):  
Guerrilla Warfare ◽  
Third Generation ◽  
The Third

Towards the Third Generation of Performance Measurement

Controlling ◽  
2003 ◽  
Vol 15 (3-4) ◽  
pp. 129-136 ◽  
Author(s):  
Andy Neely ◽  
Bernard Marr ◽  
Göran Roos ◽  
Stephen Pike ◽  
Oliver Gupta
Keyword(s):  
Performance Measurement ◽  
Third Generation ◽  
The Third

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.

Minangkabau Language Maintenance by the Association of Sei Jaring Community in Medan

2014 ◽  
Vol 11 (2) ◽  
Author(s):  
Yenita Uswar ◽  
Amrin Saragih ◽  
Tina Mariany Arifin
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Language Maintenance ◽  
Young Generation ◽  
Third Generation ◽  
The Third ◽  
Danger Level

The objectives of this qualitative research were (1) to identify the factors that affect the Minangkabau language (ML) maintenance in Medan, (2) to discover the parents’ efforts in maintaining ML in Medan and (3) to find out the reason why the speakers have to maintain ML. The souree of data is the nembers of the Association of Sei Jaring Community (Ikatan Warga Sei Jaring: IWS) in Medan. The sample was 10 families including 10 parents and their children. The instruments of this study are a questionnaire and an interview. The questionnaire was used to answer the factors affected the maintenance of ML and how factors affected the maintenance of ML. The interview was used to discover the influence why Minangkabau’s people have to maintain ML. There are four factors in ML maintenance, the parents’ role, the role of family, the intramarriage and homeland visits. After distributing questionnaire and did some interviews it is found that IWS especially for the third generation (children) has the danger level in ML when they communicate to each other. Meanwhile, the data analysis also shows that both fathers and mothers communicate to each other with ML. This condition occurred because of the influence of the environment. Parents have to keep communication and teaching Minangkabau language continuously to their children. so, the young generation can keep the existence of ML for their future. Keywords: Minangkabau Language Maintenance, parents’ efforts, the young generation.

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