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A systematic literature review on phishing email detection using natural language processing techniques
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …
economy. Phishing attacks are now most often carried out by email. To better comprehend …
A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities
Threats that have been primarily targeting nation states and their associated entities have
expanded the target zone to include the private and corporate sectors. This class of threats …
expanded the target zone to include the private and corporate sectors. This class of threats …
An intelligent cyber security phishing detection system using deep learning techniques
Recently, phishing attacks have become one of the most prominent social engineering
attacks faced by public internet users, governments, and businesses. In response to this …
attacks faced by public internet users, governments, and businesses. In response to this …
Helphed: Hybrid ensemble learning phishing email detection
Phishing email attack is a dominant cyber-criminal strategy for decades. Despite its
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …
longevity, it has evolved during the COVID-19 pandemic, indicating that adversaries exploit …
Comprehensive review of cybercrime detection techniques
Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …
communication tools as targets and commission instruments or are associated with the …
Detection of online phishing email using dynamic evolving neural network based on reinforcement learning
Despite state-of-the-art solutions to detect phishing attacks, there is still a lack of accuracy for
the detection systems in the online mode which is leading to loopholes in web-based …
the detection systems in the online mode which is leading to loopholes in web-based …
[PDF][PDF] A novel hybrid approach of SVM combined with NLP and probabilistic neural network for email phishing
Phishing attacks are one of the slanting cyber-attacks that apply socially engineered
messages that are imparted to individuals from expert hackers going for tricking clients to …
messages that are imparted to individuals from expert hackers going for tricking clients to …
Machine learning classifiers for network intrusion detection system: comparative study
Network security risks are increasing at an exponential rate as Internet technology
advances. Kee** the network protected is one of the most challenging of network security …
advances. Kee** the network protected is one of the most challenging of network security …
Email classification research trends: review and open issues
Personal and business users prefer to use e-mail as one of the crucial sources of
communication. The usage and importance of e-mails continuously grow despite the …
communication. The usage and importance of e-mails continuously grow despite the …
Prompted contextual vectors for spear-phishing detection
Spear-phishing attacks present a significant security challenge, with large language models
(LLMs) escalating the threat by generating convincing emails and facilitating target …
(LLMs) escalating the threat by generating convincing emails and facilitating target …