A comprehensive survey of automated website phishing detection techniques: a perspective of artificial intelligence and human behaviors

C Rajeswary, M Thirumaran - 2023 International conference on …, 2023 - ieeexplore.ieee.org
Phishing is a web-based attack that applies social engineering techniques to take
advantage of Internet users and obtain sensitive information. Mostly, the phishing attack …

[HTML][HTML] Context-aware cyber-threat attribution based on hybrid features

E Irshad, AB Siddiqui - ICT Express, 2024 - Elsevier
With the rapid technological development, identifying the attackers behind cyber-attacks is
getting more sophisticated. To cope with this phenomenon, the current process of cyber …

[HTML][HTML] Mutual information based logistic regression for phishing URL detection

V Vajrobol, BB Gupta, A Gaurav - Cyber Security and Applications, 2024 - Elsevier
Phishing is a cybersecurity problem that hackers employ to deceive individuals and
organizations. Phishing is dynamic in nature; the hackers change several tricks to deceive …

SSVEP-enhanced threat detection and its impact on image segmentation

S Gao, Y Cheng, S Mao, X Fan… - International Journal on …, 2024 - igi-global.com
Selective attention, essential in discerning visual stimuli, enables the identification of threats
such as snakes—a prime evolutionary influence on the human visual system. This …

XSS Armor: Constructing XSS defensive framework for preserving big data privacy in internet-of-things (IoT) networks

P Chaudhary, BB Gupta, AK Singh - Journal of Circuits, Systems …, 2022 - World Scientific
Big data characterizes superfluity of voluminous data that may be in unstructured, structured
and/or semi-structured format. Internet of Things networks emerged as one of the biggest …

Latent Semantic Analysis and Graph Theory for Alert Correlation: A Proposed Approach for IoT Botnet Detection

M Lefoane, I Ghafir, S Kabir, I Awan… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
In recent times, the proliferation of Internet of Things (IoT) technology has brought a
significant shift in the digital transformation of various industries. The enabling technologies …

Long Short-Term Memory Network (LSTM) based Stock Price Prediction

A Gaurav, V Arya, KT Chui, BB Gupta, C Choi… - Proceedings of the 2023 …, 2023 - dl.acm.org
Predicting stock prices is a challenging and highly sought-after task in financial markets. In
recent years, deep learning techniques, particularly Long Short-Term Memory (LSTM) …

MC-YOLO-based lightweight detection method for nighttime vehicle images in a semantic web-based video surveillance system

X Wang, X Hao, K Wang - … Journal on Semantic Web and Information …, 2023 - igi-global.com
Semantic web-based video surveillance systems can provide strong decision-making
support for managers, and they have high requirements for real-time and precision of …

A semantic feature enhancement-based aerial image target detection method using dense RFB-FE

X Li, J Zhang - International Journal on Semantic Web and …, 2023 - igi-global.com
Aerial image target detection is a challenging task due to the complex backgrounds, dense
target distribution, and large-scale differences often present in aerial images. Existing …

[HTML][HTML] A Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery Disease

A Ainiwaer, WQ Hou, K Kadier… - Reviews in …, 2023 - imrpress.com
Background: Although machine learning (ML)-based prediction of coronary artery disease
(CAD) has gained increasing attention, assessment of the severity of suspected CAD in …