Analysis of APT Actors Targeting IoT and Big Data Systems: Shell_Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe as a Case Study

2019 ◽  
pp. 257-272 ◽  
Author(s):  
Paul J. Taylor ◽  
Tooska Dargahi ◽  
Ali Dehghantanha
Keyword(s):  
Big Data ◽  
Data Systems ◽  
Big Data Systems

scholarly journals Security and Privacy Issues of Big Data

2019 ◽  
pp. 375-407
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

scholarly journals Security and Privacy Issues of Big Data

Web Services ◽  
2019 ◽  
pp. 2197-2229
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

scholarly journals Security and Privacy Issues of Big Data

2015 ◽  
pp. 20-52 ◽  
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

scholarly journals Security and Privacy Issues of Big Data

2019 ◽  
pp. 1598-1630
Author(s):  
José Moura ◽  
Carlos Serrão
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Personal Data ◽  
Security And Privacy ◽  
Data Systems ◽  
Computing Systems ◽  
Big Data Applications ◽  
Big Data Systems ◽  
Privacy Issues

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.

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