Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Phishing is the technique by which the attacker tries to obtain confidential information from
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …

It is hard to trust any data entry on online websites as some websites may be malicious, and
gather data for illegal or unintended use. For example, bank login and credit card …

Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …

In view of semantic counterfeiting characteristics of phishing websites and their multi-scale
composition, this paper fully considers the semantic information of different scales, and …

Phishing is a common attack on credulous people by making them to disclose their unique
information using counterfeit websites. The objective of phishing website URLs is to purloin …

Resumen En la Seguridad Informática, no importa que equipamiento de Software o
Hardware se tenga instalado, porque siempre el eslabón más débil en esta cadena de …

Phishing activities remain a persistent security threat, with global losses exceeding 2.7
billion USD in 2018, according to the FBI's Internet Crime Complaint Center. In literature …

Malicious URLs are often used to distribute malware, steal personal information, or engage
in phishing attacks. Traditional approaches for identifying these URLs are often ineffective …

A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
Page 1 P osted on 5 Jan 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/tech rxiv.11473377.v1 …