A review on social spam detection: Challenges, open issues, and future directions

S Rao, AK Verma, T Bhatia - Expert Systems with Applications, 2021 - Elsevier
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

[HTML][HTML] Online social networks security and privacy: comprehensive review and analysis

AK Jain, SR Sahoo, J Kaubiyal - Complex & Intelligent Systems, 2021 - Springer
With fast-growing technology, online social networks (OSNs) have exploded in popularity
over the past few years. The pivotal reason behind this phenomenon happens to be the …

Deep learning-based intrusion detection systems: a systematic review

J Lansky, S Ali, M Mohammadi, MK Majeed… - IEEE …, 2021 - ieeexplore.ieee.org
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

A review on the effectiveness of machine learning and deep learning algorithms for cyber security

R Geetha, T Thilagam - Archives of Computational Methods in …, 2021 - Springer
In recent years there exists a wide variety of cyber attacks with the drastic development of
the internet technology. Detection of these attacks is of more significant in today's cyber …

[HTML][HTML] Machine learning-based social media bot detection: a comprehensive literature review

M Aljabri, R Zagrouba, A Shaahid, F Alnasser… - Social Network Analysis …, 2023 - Springer
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 …

CyberSecurity attack prediction: a deep learning approach

O Ben Fredj, A Mihoub, M Krichen… - … conference on security …, 2020 - dl.acm.org
Cybersecurity attacks are exponentially increasing, making existing detection mechanisms
insufficient and enhancing the necessity to design more relevant prediction models and …

Detection of malicious social bots: A survey and a refined taxonomy

M Latah - Expert Systems with Applications, 2020 - Elsevier
Social bots represent a new generation of bots that make use of online social networks
(OSNs) as command and control (C&C) channels. Malicious social bots have been used as …

Sybil attack in RPL-based internet of things: Analysis and defenses

C Pu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Over the past few years, Internet of Things (IoT) has emerged as a promising paradigm that
connects various physical devices to the Internet, and contributes to the development of …

Secure deep learning in defense in deep-learning-as-a-service computing systems in digital twins

Z Lv, D Chen, B Cao, H Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
While Digital Twins (DTs) bring convenience to city managers, they also generate new
challenges to city network security. Currently, cyberspace security becomes increasingly …

[HTML][HTML] User characteristics that influence judgment of social engineering attacks in social networks

SM Albladi, GRS Weir - Human-centric Computing and Information …, 2018 - Springer
Social engineering is a growing source of information security concern. Exploits appear to
evolve, with increasing levels of sophistication, in order to target multiple victims. Despite …