Machine learning-based social media bot detection: a comprehensive literature review
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …
of each individual's daily life. The availability of the vast amount of information and their …
Social media bot detection with deep learning methods: a systematic review
Social bots are automated social media accounts governed by software and controlled by
humans at the backend. Some bots have good purposes, such as automatically posting …
humans at the backend. Some bots have good purposes, such as automatically posting …
A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
people's daily lives. Instead of being passive readers, people are now enjoying their role as …
User behavior-based and graph-based hybrid approach for detection of sybil attack in online social networks
The immense popularity of social networks has rendered them vulnerable to security threats
such as Sybil attacks. In Sybil attacks, attackers send several friend requests from fake …
such as Sybil attacks. In Sybil attacks, attackers send several friend requests from fake …
Learning algorithm recommendation framework for IS and CPS security: Analysis of the RNN, LSTM, and GRU contributions
C Feltus - International Journal of Systems and Software Security …, 2022 - igi-global.com
Artificial intelligence and machine learning have recently made outstanding contributions to
the performance of information system and cyber--physical system security. There has been …
the performance of information system and cyber--physical system security. There has been …
An enhanced sybil guard to detect bots in online social networks
NP Shetty, B Muniyal, A Anand… - Journal of Cyber …, 2022 - journals.riverpublishers.com
Sybil accounts are swelling in popular social networking sites such as Twitter, Facebook etc.
owing to cheap subscription and easy access to large masses. A malicious person creates …
owing to cheap subscription and easy access to large masses. A malicious person creates …
Social network analysis algorithms, techniques and methods
Understanding how social structures with the use of a network have been an active field of
study for academics in the past five years alone. The need to properly comprehends how …
study for academics in the past five years alone. The need to properly comprehends how …
Evolving cloud security technologies for social networks
PM Rao, P Saraswathi - Security in IoT Social Networks, 2021 - Elsevier
The rapid growth of social networks and cloud services has led to the enhancement of
online users in which the people can transform and access information. With the anonymous …
online users in which the people can transform and access information. With the anonymous …
Fake News Detection on Social Networks: A Survey
Y Shen, Q Liu, N Guo, J Yuan, Y Yang - Applied Sciences, 2023 - mdpi.com
In recent years, social networks have developed rapidly and have become the main platform
for the release and dissemination of fake news. The research on fake news detection has …
for the release and dissemination of fake news. The research on fake news detection has …
Cyber security threats and their solutions through deep learning: A bibliometric analysis
Nowadays a major concern in the field of information technology is Cyber security. Although
in the recent times there have been booming advancements in the field of technology, but it …
in the recent times there have been booming advancements in the field of technology, but it …