Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks
A Barushka, P Hajek - Applied Intelligence, 2018 - Springer
Rapid growth in the volume of unsolicited and unwanted messages has inspired the
development of many anti-spam methods. Supervised anti-spam filters using machine …
development of many anti-spam methods. Supervised anti-spam filters using machine …
ELM-based spammer detection in social networks
Online social networks, such as Facebook, Twitter, and Weibo have played an important role
in people's common life. Most existing social network platforms, however, face the …
in people's common life. Most existing social network platforms, however, face the …
User behavior analysis-based smart energy management for webpage ranking: Learning automata-based solution
Search engines are widely used for surfing the Internet. Different search engines vary with
respect to their accuracy and time to fetch the information from the distributed/centralized …
respect to their accuracy and time to fetch the information from the distributed/centralized …
Enhancement of email spam detection using improved deep learning algorithms for cyber security
KV Samarthrao, VM Rohokale - Journal of Computer Security, 2022 - content.iospress.com
Email has sustained to be an essential part of our lives and as a means for better
communication on the internet. The challenge pertains to the spam emails residing a large …
communication on the internet. The challenge pertains to the spam emails residing a large …
Dynamic feature selection for spam detection in Twitter
Social Networks continue to increase their popularity day by day. With the widespread
availability of Internet access, interest of people in social networks has also increased …
availability of Internet access, interest of people in social networks has also increased …
A survey on behaviors exhibited by spammers in popular social media networks
SJ Soman - 2016 International Conference on Circuit, Power …, 2016 - ieeexplore.ieee.org
Social networking sites have become a major factor of the Web and are playing an important
role in the life of human being. People communicate with each other through social …
role in the life of human being. People communicate with each other through social …
Email spam detection using bagging and boosting of machine learning classifiers
U Bhardwaj, P Sharma - International Journal of Advanced …, 2023 - inderscienceonline.com
The increase in the popularity, utility, and significance of electronic mails has also raised the
exposure of spam emails. This paper endeavours to detect email spam by constructing an …
exposure of spam emails. This paper endeavours to detect email spam by constructing an …
High Efficiency Spam Filtering: A Manifold Learning‐Based Approach
C Wang, Q Li, T Ren, X Wang… - Mathematical problems in …, 2021 - Wiley Online Library
Spam filtering, which refers to detecting unsolicited, unwanted, and virus‐infested emails, is
a significant problem because spam emails lead to unnecessary costs of Internet resources …
a significant problem because spam emails lead to unnecessary costs of Internet resources …
A sneak into the Devil's Colony-Fake Profiles in Online Social Networks
MA Wani, S Jabin - arxiv preprint arxiv:1705.09929, 2017 - arxiv.org
Online Social Networks (OSNs) play an important role for internet users to carry out their
daily activities like content sharing, news reading, posting messages, product reviews and …
daily activities like content sharing, news reading, posting messages, product reviews and …
PIF: A personalized fine-grained spam filtering scheme with privacy preservation in mobile social networks
Mobile social network (MSN) emerges as a promising social network paradigm that enables
mobile users' information sharing in the proximity and facilitates their cyber-physical-social …
mobile users' information sharing in the proximity and facilitates their cyber-physical-social …