Analysis on protocol-based intrusion detection system using artificial intelligence

S Mandal, A Sai Sabitha, D Mehrotra - Machine Intelligence and Smart …, 2021 - Springer
One of the major challenges in every field is the network security, so for preventing system,
its data and sensitive information from any unauthorized access or harmful activity, intrusion …

Using attribute-based feature selection approaches and machine learning algorithms for detecting fraudulent website URLs

M Aydin, I Butun, K Bicakci… - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
Phishing is a malicious form of online theft and needs to be prevented in order to increase
the overall trust of the public on the Internet. In this study, for that purpose, the authors …

Phishing Website Detection Using a Combined Model of ANN and LSTM

MS Farooq - arXiv preprint arXiv:2404.10780, 2024 - arxiv.org
In this digital era, our lives highly depend on the internet and worldwide technology. Wide
usage of technology and platforms of communication makes our lives better and easier. But …

Phishing attack detection using machine learning classification techniques

NF Abedin, R Bawm, T Sarwar… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Phishing attacks are the most common form of attacks that can happen over the internet.
This method involves attackers attempting to collect data of a user without his/her consent …

Detecting phishing websites using machine learning

VU Rani, R Pradeep, N Jayanathan… - Disruptive …, 2024 - taylorfrancis.com
Phishing is a type of criminal activity that involves the creation of bogus websites that closely
mimic actual ones in order to fool users into disclosing personal information like as …

Classification of malicious and benign websites by network features using supervised machine learning algorithms

S Kaddoura - 2021 5th Cyber Security in Networking …, 2021 - ieeexplore.ieee.org
Due to the increase in Internet usage through the past years, cyber-attacks have rapidly
increased, leading to high personal information and financial loss. Cyberattacks can include …

Detecting security vulnerabilities in website using python

R Abirami, DCJW Wise, R Jeeva… - … on Electronics and …, 2020 - ieeexplore.ieee.org
On the current website, there are many undeniable conditions and there is the existence of
new plot holes. If data link is normally extracted on each of the websites, it becomes difficult …

Generating Rules to Detect Phishing Websites Using URL Features

A Awasthi, N Goel - 2021 1st Odisha International Conference …, 2021 - ieeexplore.ieee.org
Phishing, a well-known type of the cybercrime, is a fraudulent activity created and executed
by cyber criminals all over the cyberspace worldwide. Several techniques are used by these …

Fraudulent E-Commerce Website Detection Using Convolutional Neural Network Based on Image Features

NM Zamry, A Zainal, E Khoo, MN Kassim… - … Conference on Data …, 2023 - Springer
Due to the growth of e-commerce's website, attackers have motivated to intrude these e-
commerce websites. These illegitimate websites, also known as fraudulent websites …

Phishing detection: malicious and benign websites classification using machine learning techniques

S Chavan, A Inamdar, A Dorle, S Kulkarni… - … Science and Applications …, 2020 - Springer
In past few years, various fraudulent online websites have been created by attackers to
imitate trustworthy websites, in order to gain private information from users and …