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by Graham Williams
Duck Duck Go

Security

20190122 This chapter covers security and privacy related topics. Privacy is a human right. Yet we have seen increasing risk associated with our personal data becoming unwittingly widely available through data theft and through our day-to-day interactions with online services. We have seen many “professionally” run computer systems underlying these online services being hacked. In November 2018 Marriot announced that some 500 million users' data had been stolen by criminals who had access to the Starwood computer systems since 2014. In September 2017 Equifax acknowledged that sensitive personal information of 150 Million US citizens had been stolen by a third party, believed to be a state sponsored actor or else other criminals who continue to lay in wait to capitalise on the data.

It is important that we protect our data and so our privacy and be conscious of the need to do so and the need to limit the data we are sharing with other organisations that clearly have too little regard for our privacy.

Some basic steps to ensure we keep our privacy and security portfolios up to date:

  1. Passwords: Never reuse any password but instead use a password manager to generate random passwords and to track your passwords. KeePassXC is a good option here. Also turn on two factor authentication where-ever it is supported. Avoid SMS as the second factor but if that is all that is offered, then it is better than nothing.
  2. Search Engine: Use Duck Duck Go as you privacy preserving search engine.
  3. Software Updated: Keep both your operating system and the software you use up to date with the latest versions. Occasionally, but thankfully rarely, things do break when software we rely on is updated, but the often short lived inconvenience is worth the protection that is offered through regular updates.

Useful resources include Spread Privacy.


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Other online resources include the Data Science Desktop Survival Guide.
Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
Popular open source software includes rattle and wajig.
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