Muhammad Hamza Faheem
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View article: Dangerous Objects Detection Using Deep Learning and First Responder Drone
Dangerous Objects Detection Using Deep Learning and First Responder Drone Open
Detecting dangerous objects, such as firearms or knives, is crucial for public safety or accurate situational assessment in crime scenes in law enforcement applications. Drones as first responders have been actively utilized for this purpo…
View article: Detecting Phishing URLs Based on a Deep Learning Approach to Prevent Cyber-Attacks
Detecting Phishing URLs Based on a Deep Learning Approach to Prevent Cyber-Attacks Open
Phishing is one of the most widely observed types of internet cyber-attack, through which hundreds of clients using different internet services are targeted every day through different replicated websites. The phishing attacker spreads mes…
View article: An Efficient Deep Learning Framework for Optimized Event Forecasting
An Efficient Deep Learning Framework for Optimized Event Forecasting Open
There have been several catastrophic events that have impacted multiple economies and resulted in thousands of fatalities, and violence has generated a severe political and financial crisis. Multiple studies have been centered around the a…
View article: Deep Learning Based Efficient Crowd Counting System
Deep Learning Based Efficient Crowd Counting System Open
Estimation of crowd count is becoming crucial nowadays, as it can help in security surveillance, crowd monitoring, and management for different events.It is challenging to determine the approximate crowd size from an image of the crowd's d…
View article: Zero-Touch Network Security (ZTNS): A Network Intrusion Detection System Based on Deep Learning
Zero-Touch Network Security (ZTNS): A Network Intrusion Detection System Based on Deep Learning Open
The rapid evaluation of smart cities has revolutionized the research and development field to a very extensive level which presents challenges in handling massive amounts of data. However, the integration of IoT into various aspects of lif…
View article: HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System
HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System Open
Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside…
View article: A Deep Learning-Based Phishing Detection System Using CNN, LSTM, and LSTM-CNN
A Deep Learning-Based Phishing Detection System Using CNN, LSTM, and LSTM-CNN Open
In terms of the Internet and communication, security is the fundamental challenging aspect. There are numerous ways to harm the security of internet users; the most common is phishing, which is a type of attack that aims to steal or misuse…
View article: Deep Learning-Based Digital Image Forgery Detection Using Transfer Learning
Deep Learning-Based Digital Image Forgery Detection Using Transfer Learning Open
Deep learning is considered one of the most efficient and reliable methods through which the legitimacy of a digital image can be verified. In the current cyber world where deepfakes have shaken the global community, confirming the legitim…