
Big Data is a boon for businesses worldwide, but the benefits come at a cost. The more data companies store, the more vulnerable they are to potential security breaches. And data breaches can be enormously expensive when they occur. IBM’s2016 Cost of Data Breach report found that the average consolidated total cost of a data breach grew from $3.8 million to $4 million in the last year, which makes securing their data an important goal for any company that’s invested in it.
Targeting those companies, the Cloud Security Alliance (CSA) released a new report on Friday offering 100 best practices for Big Data and cloud security.
The CSA is an industry grouping that’s focused on promoting best practices regarding security in cloud computing, and its members include major vendors like Amazon Web Services, Microsoft, Red Hat Inc., and VMware Inc., among others. In a previous list the CSA laid out the top 10 major challenges for Big Data security, and now today’s list of 10 best practices details how to overcome each of those challenges.
The new list suggests that businesses working with a distributed programming framework like Apache Hadoop should use Kerberos or an equivalent authentication service to establish trust.
Meanwhile, to ensure that the privacy of data subjects is secure, the CSA recommends masking or removing personally identifiable information such as customer’s names, addresses and Social Security numbers. In addition, companies should beware of what CSA calls “quasi-identifiers” that can be used to partially identify someone, such as ZIP codes, dates of birth, genders and so on.
The report also notes that non-relational database users (for example, NoSQL databases) are at risk due to the lack of robust security features embedded in them. As such, the report recommends that users employ strong encryption methods like the Advanced Encryption Standard (AES), RSA, or Secure Hash Algorithm 2 (SHA-256) for data at rest. It adds that the code and encryption keys should be stored separately from the data storage or repository, and backed up offline in a secure location.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)