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With the proliferation of devices connected to the internet and
connected to each other, the volume of data collected, stored, and
processed is increasing every day, which brings new challenges in
terms of information security. As big data expands with the help of
public clouds, traditional security solutions tailored to private
computing infrastructures and confined to a well-defined security
perimeter, such as firewalls and demilitarized zones (DMZs), are no
longer effective. New security functions are required to work over
the heterogenous composition of diverse hardware, operating
systems, and network domains. Security, Privacy, and Forensics
Issues in Big Data is an essential research book that examines
recent advancements in big data and the impact that these
advancements have on information security and privacy measures
needed for these networks. Highlighting a range of topics including
cryptography, data analytics, and threat detection, this is an
excellent reference source for students, software developers and
engineers, security analysts, IT consultants, academicians,
researchers, and professionals.
With the proliferation of devices connected to the internet and
connected to each other, the volume of data collected, stored, and
processed is increasing every day, which brings new challenges in
terms of information security. As big data expands with the help of
public clouds, traditional security solutions tailored to private
computing infrastructures and confined to a well-defined security
perimeter, such as firewalls and demilitarized zones (DMZs), are no
longer effective. New security functions are required to work over
the heterogenous composition of diverse hardware, operating
systems, and network domains. Security, Privacy, and Forensics
Issues in Big Data is an essential research book that examines
recent advancements in big data and the impact that these
advancements have on information security and privacy measures
needed for these networks. Highlighting a range of topics including
cryptography, data analytics, and threat detection, this is an
excellent reference source for students, software developers and
engineers, security analysts, IT consultants, academicians,
researchers, and professionals.
Proceedings of an international symposium, with the focus on
Prediction and Performance in Geotechnical Engineering held in
Calgary, on the 17-19 June 1987.
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