Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Impact of Social Media Attacks Targeting Employees in an Organization: A Case Study
University West, Department of Engineering Science.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Social media has a huge potential to be used positively or negatively. It allows for the preservation of relationships, information sharing, and connections with loved ones. It does, however, offer a platform for using social engineering techniques. 

It's a great chance to network and find new job paths on LinkedIn, a social media platform that connects experts in particular industries. But it could also be a target for social engineering schemes. This was demonstrated in the example mentioned in the coming sections when the author used LinkedIn to break into the network of the business. To access the employees' profiles, the author created a fake profile and issued friend requests to them, as well as using open-source intelligent tools to do reconnaissance on the company and its employees. As a result, they learned important information about the duties and tasks of the staff. The information was then utilized to create more effective social media like LinkedIn attacks.

Overall, the case study emphasizes the necessity for businesses to understand the risks posed by employee-targeted social media attacks and to take appropriate action. Organizations may protect the safety of their employees, uphold their reputation, and maintain a secure online environment by being aware of the effects of such assaults and taking preventative action.

Place, publisher, year, edition, pages
2023. , p. 50
Keywords [en]
Cybersecurity, Social engineering, social media, LinkedIn, Training and awareness, Recommendations
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hv:diva-20376Local ID: EXD600OAI: oai:DiVA.org:hv-20376DiVA, id: diva2:1780052
Subject / course
Computer science
Educational program
Master in Cybersecurity
Supervisors
Examiners
Available from: 2023-07-17 Created: 2023-07-05 Last updated: 2023-07-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Department of Engineering Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 150 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf