Security & Future
Vol. 4 (2020), Issue 3, pg(s) 98-102

INFORMATION SECURITY

Malware in Social Engineering

  • 1 National Military University, ―AADCIS Faculty, Shumen, Bulgaria

Abstract

Internet connectivity became obligatory for the business processes in each organisation and institution. Communication over the public network infrastructure like Internet brings potential threat for the means of social engineering email letters. Recognition of such letters seems to be a problem to workers. Some malware analysis of such example scam letters is made in this research paper. Impact on computer or network systems is presented.

Keywords

References

  1. The Ultimate Guide To Phishing Book -https://www.metacompliance.com/resources/ultimate-guide-tophishing/
  2. Whois Lookup - https://whois.domaintools.com/
  3. Phishing – Email header analysis - https://mlhale.github.io/nebraska-gencybermodules/phishing/email-headeranalysis/
  4. Malware analysis instrument, https://www.browserling.com/
  5. Malware analysis instrument, https://urlscan.io/
  6. Fatima Salahdine, Naima Kaabouch, Social Engineering Attacks: A Survey, School of Electrical Engineering and Computer Science, University of North Dakota, 2 April 2019, www.mdpi.com
  7. Virustotal, URL: https://www.virustotal.com/gui/
  8. Парашкеванова Г. Р., Цанков Ц. С. Киберпрестъпността като основна съвременна заплаха за големите организации. Научна конференция МАТТЕХ 2016, Шумен, 2016, ISSN 1314-3921.
  9. Boyanov, P., Identification of active hosts in the computer networks and evaluation the network security against modern types of cyber attacks, International Scientific Online Journal, www.sociobrains.com, ISSN 2367-5721 (online), Issue 56, April 2019, pp. 92-98
  10. Борисова, А., Съвременни езици за програмиране на изкуствен интелект, International Scientific Conference ―Defense Technologies‖ 2019, ISSN 2367-7902, стр.372 – 378 http://aadcf.nvu.bg/scientific_events/dtf2019/AngelaRBorisova.pdf
  11. Савова, Ж., Богданов, Р., Анонимна система за комуникации в киберпространството, използваща протокол TOR, Сборник научни трудове на научна конференция на Факултет „А, ПВО и КИС „Новата парадигма за сигурност в киберпространството, Шумен 2014, стр. 259-265, ISBN 978-954-9681-49-9.
  12. Slavyanov, Kr., An algorithm of fuzzy inference system for human resources selection tools, Proceedings of the International Scientific Conference SOCIETY. INTEGRATION. EDUCATION. May 25-th-26th, 2018, Vol V, p.p.445-454, ISSN 1691-5887

Article full text

Download PDF