A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
[HTML][HTML] Cybersecurity enterprises policies: A comparative study
Cybersecurity is a critical issue that must be prioritized not just by enterprises of all kinds, but
also by national security. To safeguard an organization's cyberenvironments, information …
also by national security. To safeguard an organization's cyberenvironments, information …
[HTML][HTML] A novel approach for spam detection using horse herd optimization algorithm
A Hosseinalipour, R Ghanbarzadeh - Neural Computing and Applications, 2022 - Springer
Communication via email has expanded dramatically in recent decades due to its cost-
effectiveness, convenience, speed, and utility for a variety of contexts, including social …
effectiveness, convenience, speed, and utility for a variety of contexts, including social …
[HTML][HTML] Tokenized Markets Using Blockchain Technology: Exploring Recent Developments and Opportunities
The popularity of blockchain technology stems largely from its association with
cryptocurrencies, but its potential applications extend beyond this. Fungible tokens, which …
cryptocurrencies, but its potential applications extend beyond this. Fungible tokens, which …
SMS spam detection using machine learning and deep learning techniques
S Gadde, A Lakshmanarao… - 2021 7th international …, 2021 - ieeexplore.ieee.org
The number of people using mobile devices increasing day by day. SMS (short message
service) is a text message service available in smartphones as well as basic phones. So, the …
service) is a text message service available in smartphones as well as basic phones. So, the …
[HTML][HTML] Multi-objective genetic algorithm and CNN-based deep learning architectural scheme for effective spam detection
WS Jacob - International Journal of Intelligent Networks, 2022 - Elsevier
E-mail has traditionally been regarded as the most powerful medium in online social
networks, where users can discuss, connect, and share links with other online social media …
networks, where users can discuss, connect, and share links with other online social media …
[HTML][HTML] Hyperparameter optimization of ensemble models for spam email detection
TO Omotehinwa, DO Oyewola - Applied Sciences, 2023 - mdpi.com
Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats
to cybersecurity globally. More than half of the emails sent in 2021 were spam, resulting in …
to cybersecurity globally. More than half of the emails sent in 2021 were spam, resulting in …
Semi-supervised novelty detection with one class SVM for SMS spam detection
The volume of SMS messages sent on a daily basis globally has continued to grow
significantly over the past years. Hence, mobile phones are becoming increasingly …
significantly over the past years. Hence, mobile phones are becoming increasingly …
WITHDRAWN: An effective approach to protect social media account from spam mail–A machine learning approach
Withdrawal Notice WITHDRAWN: An effective approach to protect social media account from
spam mail –A machine learning approachVishnu Dutt Sharma a, â‡', Santosh Kumar …
spam mail –A machine learning approachVishnu Dutt Sharma a, â‡', Santosh Kumar …
A hybrid meta-heuristic-based multi-objective feature selection with adaptive capsule network for automated email spam detection
KV Samarthrao, VM Rohokale - International Journal of Intelligent …, 2022 - Springer
Spam emails are not essential because they include dangerous spyware and viruses. Thus,
there is an urgent requirement to identify spam emails due to the adaptive nature of …
there is an urgent requirement to identify spam emails due to the adaptive nature of …