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Social engineering is considered to be a taboo subject in nowadays society. It involves the use of social skills or to obtain usernames, passwords, credit card data, or to compromise or altering the information and systems of an entity. Social engineering methods are numerous and people using it are extremely ingenious and adaptable. This technique takes advantage of the intrinsic nature of mankind, to manipulate and obtain sensitive information, persuading people into divulge it, using exceptional communication skills. Thus, five models of persuasion were identified, based on: simplicity, interest, incongruity, confidence and empathy, exploiting key factors which predispose people to fall victim to attacks of social engineering such as greed, self-interest, guilt or ignorance. It is well known fact that security is as strong as the weakest link in its chain (individuals) therefore, beyond technical measures, staff training is the key to success in defending against such attacks.
Risk, Staff Training, Computer engineering. Computer hardware, Sensitive Information, Confidence, Attack, Online Security, Trust, Bibliography. Library science. Information resources, Social Engineering, Persuasion, Trust, Risk, Sensitive Information, Online Security, Confidence, Manipulation, Attack, Staff Training, TK7885-7895, Social Engineering, Persuasion, Manipulation, Z
Risk, Staff Training, Computer engineering. Computer hardware, Sensitive Information, Confidence, Attack, Online Security, Trust, Bibliography. Library science. Information resources, Social Engineering, Persuasion, Trust, Risk, Sensitive Information, Online Security, Confidence, Manipulation, Attack, Staff Training, TK7885-7895, Social Engineering, Persuasion, Manipulation, Z
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |