Liars & Outliers by Bruce Schneier is a book about trust and how it affects society. Additionally, trust links to security as there are always Liars and Outliers in every society.

Society is all based on trust and without it, many big corporations will not be able to function. Business strategist Don Tapscott described trust in business as: “The other party will be honest, considerate, accountable and transparent. Thus when two people are consistent in this way, we call them cooperative”.

However the idea of trust may change when applying it to the context of ITGS: -relating to identity theft- Would interacting with someone you met online be deemed more trustworthy than meeting someone in person? Would you trust Google to keep your own passwords? And perhaps once this trust is broken, would that mean Google will no longer be trustworthy to store our information? Most people will just willingly let Google store their password due to the increased ease of access it provides to them.

Trust is extremely vital in our society. Schneier gives examples in everyday lives and really makes readers realise how people trust others very easily – such as the simple job of the plumber coming over to your house and fixing the drain (as the plumber is now in your home and can do whatever they want). But somehow, most people trust each other in this situation (impersonal trust)

Furthermore, Schneier informs us about Security including physical and non-physical systems such as the law system and justice system. These systems would then be served to protect the majority of the society who choose to follow the rules and norm whilst punishing the ones who disobey the rules. Which will mean most people will tend to TRUST the system more than people.

Lastly in the overview, Schneier says trust is relative meaning the mailman delivers the mail to your house everyday without fail, does not mean he doesn’t steal roses from your garden; so he might only be deemed trustworthy in only one aspect but not in others – therefore Consistency DOES NOT EQUAL Trustworthiness.


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