Sign Up to like & get
recommendations!
0
Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08334-1
Abstract: Social Network sites have become incredibly important in the present day. This popularity attracts the attacker to easily approach a large population and to have access to massive information for performing intrusion activities in Online…
read more here.
Keywords:
feature selection;
feature;
selection;
evaluation ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5211949
Abstract: In this modern world, we are accustomed to a constant stream of data. Major social media sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to…
read more here.
Keywords:
spam;
machine;
spam detection;
model ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2020.1031.09
Abstract: The rapidly growing online social networking sites have been infiltrated by a large amount of spam. Spammers are a particular kind of ill-intentioned users who degrade the quality of OSNs information through misusing all possible…
read more here.
Keywords:
framework spam;
detection;
detection twitter;
spam detection ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10145011
Abstract: Many machine learning methods have been applied for short messaging service (SMS) spam detection, including traditional methods such as naïve Bayes (NB), vector space model (VSM), and support vector machine (SVM), and novel methods such…
read more here.
Keywords:
hidden markov;
discrete hidden;
sms spam;
model ... See more keywords