Social Engineering Attacks: A Survey
The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Commun...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/11/4/89 |
id |
doaj-386d9938c9e049859c57bc39692d8408 |
---|---|
record_format |
Article |
spelling |
doaj-386d9938c9e049859c57bc39692d84082020-11-25T00:27:38ZengMDPI AGFuture Internet1999-59032019-04-011148910.3390/fi11040089fi11040089Social Engineering Attacks: A SurveyFatima Salahdine0Naima Kaabouch1School of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USASchool of Electrical Engineering and Computer Science, University of North Dakota, Grand Forks, ND 58202, USAThe advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health records, and passwords. Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures.https://www.mdpi.com/1999-5903/11/4/89social engineering attackscyber securityphishingvishingspear phishingscamsbaitingrobocalls |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fatima Salahdine Naima Kaabouch |
spellingShingle |
Fatima Salahdine Naima Kaabouch Social Engineering Attacks: A Survey Future Internet social engineering attacks cyber security phishing vishing spear phishing scams baiting robocalls |
author_facet |
Fatima Salahdine Naima Kaabouch |
author_sort |
Fatima Salahdine |
title |
Social Engineering Attacks: A Survey |
title_short |
Social Engineering Attacks: A Survey |
title_full |
Social Engineering Attacks: A Survey |
title_fullStr |
Social Engineering Attacks: A Survey |
title_full_unstemmed |
Social Engineering Attacks: A Survey |
title_sort |
social engineering attacks: a survey |
publisher |
MDPI AG |
series |
Future Internet |
issn |
1999-5903 |
publishDate |
2019-04-01 |
description |
The advancements in digital communication technology have made communication between humans more accessible and instant. However, personal and sensitive information may be available online through social networks and online services that lack the security measures to protect this information. Communication systems are vulnerable and can easily be penetrated by malicious users through social engineering attacks. These attacks aim at tricking individuals or enterprises into accomplishing actions that benefit attackers or providing them with sensitive data such as social security number, health records, and passwords. Social engineering is one of the biggest challenges facing network security because it exploits the natural human tendency to trust. This paper provides an in-depth survey about the social engineering attacks, their classifications, detection strategies, and prevention procedures. |
topic |
social engineering attacks cyber security phishing vishing spear phishing scams baiting robocalls |
url |
https://www.mdpi.com/1999-5903/11/4/89 |
work_keys_str_mv |
AT fatimasalahdine socialengineeringattacksasurvey AT naimakaabouch socialengineeringattacksasurvey |
_version_ |
1725338658882453504 |