A schedule method for big data of the intelligence analysis based on Hadoop

Author(s):  
Surong Jiang ◽  
Jiangqiao Lan ◽  
Yuhai Yang
Author(s):  
A. G. Rekha

With the availability of large volumes of data and with the introduction of new tools and techniques for analysis, the security analytics landscape has changed drastically. To face the challenges posed by cyber-terrorism, espionage, cyber frauds etc. Government and law enforcing agencies need to enhance the security and intelligence analysis systems with big data technologies. Intelligence and security insight can be improved considerably by analyzing the under-leveraged data like the data from social media, emails, web logs etc. This Chapter provides an overview of the opportunities presented by Big Data to provide timely and reliable intelligence in properly addressing terrorism, crime and other threats to public security. This chapter also discusses the threats posed by Big Data to public safety and the challenges faced in implementing Big Data security solutions. Finally some of the existing initiatives by national governments using Big Data technologies to address major national challenges has been discussed.


2017 ◽  
Vol 22 (S4) ◽  
pp. 8017-8024 ◽  
Author(s):  
Ruo Hu ◽  
Hui-min Zhao ◽  
Hong Xu

2014 ◽  
Vol 1030-1032 ◽  
pp. 1886-1891
Author(s):  
Chen Wei ◽  
Ran Ma ◽  
Xiao Di Wang

As IDC predicts, the global data size stored in electronic form will boost 44 times and reach 35ZB in 2020. The era of big data has come quietly, and it brings fundamental reform of data usage mode to every industry. This paper states from the definition and feature of big data. Then, the paper finds out the benefit for enterprises’ competitive intelligence brought by big data as well as some difficulties, including intelligence storage, intelligence security, intelligence analysis, shortage of talents, etc.. Finally, in view of these difficulties, the paper proposes countermeasures for the enterprises.


2021 ◽  
Vol 2025 (1) ◽  
pp. 012088
Author(s):  
Ziyan Shi ◽  
Guolin Zhao ◽  
Qiaolin Hu

Big Data ◽  
2016 ◽  
pp. 814-827
Author(s):  
A. G. Rekha

With the availability of large volumes of data and with the introduction of new tools and techniques for analysis, the security analytics landscape has changed drastically. To face the challenges posed by cyber-terrorism, espionage, cyber frauds etc. Government and law enforcing agencies need to enhance the security and intelligence analysis systems with big data technologies. Intelligence and security insight can be improved considerably by analyzing the under-leveraged data like the data from social media, emails, web logs etc. This Chapter provides an overview of the opportunities presented by Big Data to provide timely and reliable intelligence in properly addressing terrorism, crime and other threats to public security. This chapter also discusses the threats posed by Big Data to public safety and the challenges faced in implementing Big Data security solutions. Finally some of the existing initiatives by national governments using Big Data technologies to address major national challenges has been discussed.


ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  

Find Out About 'Big Data' to Track Outcomes


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