Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection

Ige, Tosin; Kiekintveld, Christopher

doi:10.1109/aibthings58340.2023.10292485

Cited by 6 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Palla Yaswanth and V. Nagaraju [17] used Huang and Premaratne data from Kaggle repository with an equal number of phishing and legitimate datasets for novel network of phishing predictions with an accuracy of 95% for naive Bayes and 94.67% for random forest based on parameter turning. During the comparison of the performances of naive Bayes [18] and random forest for detection of phishing sites in a network, there was no testing of the model against sophisticated form of phishing attack and causes of the 5% failure rate of naive bayes in the research.…”

Section: Long Short-term Memory (Lstm)mentioning

confidence: 99%

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

Ige,

Kiekintveld,

Piplai

2024

Preprint

View full text Add to dashboard Cite

The ever-evolving ways attacker continues to im prove their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an adaptable framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection.

show abstract

Section: Long Short-term Memory (Lstm)mentioning

confidence: 99%

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

Ige,

Kiekintveld,

Piplai

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…[10] was extended to incorporate vaccine (treatment rate). We present our results in the form of Basic Reproduction Number 0 R using Next Generation Matrix Method and data security [13][14][15][16][17]. Theorems are used to prove the Local and Global Stabilities of disease free and endemic equilibria.…”

Section: Introductionmentioning

confidence: 99%

Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death

Vazquez

2024

Preprint

View full text Add to dashboard Cite

This paper presents a comprehensive analysis of the SEIRS COVID-19 pandemic model with saturated incidence rate. By modifying the existing model and proposing a new simplified version, we investigate the dynamics of disease transmission, including the impact of saturation terms on disease spread. Through stability analysis at disease-free and endemic equilibria, we aim to enhance understanding of the spread of COVID-19 and inform effective control strategies. Drawing on mathematical models and epidemiological insights, this study contributes to the ongoing efforts to combat the global pandemic.

show abstract

An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey

Ige,

Kiekintveld,

Piplai

2024

2024 IEEE International Conference on Electro Information Technology (eIT)

View full text Add to dashboard Cite

Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection

Cited by 6 publications

References 13 publications

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

Modeling Pandemic Vaccine with Saturated Incidence Rate Based on Disease Induced Death

An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey

Contact Info

Product

Resources

About