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[PDF][PDF] Recent trends in compact planar antennas at 5G sub-6 GHz and mmwave frequency bands for automotive wireless applications: A review
5G wireless communication offers higher channel capacity, high data rate, sufficient
bandwidth, enhanced coverage, and reliable link as compared to the previous generation …
bandwidth, enhanced coverage, and reliable link as compared to the previous generation …
[HTML][HTML] Advancing XSS detection in IoT over 5g: a cutting-edge artificial neural network approach
The rapid expansion of the Internet of Things (IoT) and the advancement of 5G technology
require strong cybersecurity measures within IoT frameworks. Traditional security methods …
require strong cybersecurity measures within IoT frameworks. Traditional security methods …
Enhanced Anomaly Detection in Ethereum: Unveiling and Classifying Threats with Machine Learning
Blockchain has emerged as a groundbreaking security technology, playing a vital role in
various industries such as banking, the Internet of Things (IoT), healthcare, education, and …
various industries such as banking, the Internet of Things (IoT), healthcare, education, and …
Cybersecurity Threats in the Era of AI: Detection of Phishing Domains Through Classification Rules
Phishing is a cyber threat where attackers create deceptive websites or emails to exploit
individuals for fraudulent purposes such as providing sensitive information like usernames …
individuals for fraudulent purposes such as providing sensitive information like usernames …
A Comprehensive Technical Analysis of URL Redirect Attacks: A Case Study of British Airways Data Breach
M Aljaidi - 2023 24th International Arab Conference on …, 2023 - ieeexplore.ieee.org
British Airways (BA) became a victim of a unique form of a URL Redirect Attack after a
breach was suspected to have happened over a period of 15 days. This is not uncommon …
breach was suspected to have happened over a period of 15 days. This is not uncommon …
Expert Phishing Detection System
Phishing attacks are a threat that continuously emphasizes the need for effective detection
methods. This paper presents a machine learning detection method that employs a random …
methods. This paper presents a machine learning detection method that employs a random …
Logistic Regression Classification for Assessing the Risk of Kidney Tumor
The kidneys have the important function of filtering waste products and toxins from the blood
in the human body. Any problems affecting the kidneys can potentially impact their efficiency …
in the human body. Any problems affecting the kidneys can potentially impact their efficiency …
An Assessment of Obfuscated Bad Rabbit Ransomware Detection and Prevention Methods
A specific type of virus called Systems and Resources ransomware attacks, which prevents
users from accessing these systems and resources until a ransom is paid. This attack is …
users from accessing these systems and resources until a ransom is paid. This attack is …
Unveiling Android Malware: A Deep Learning Perspective Using RNN and LSTM
The advent and increasing popularity of Android devices have brought about undesirable
mobile malware and its attendant applications that constitutes a danger to society in terms of …
mobile malware and its attendant applications that constitutes a danger to society in terms of …
Enhancing IoT device security: CNN-SVM hybrid approach for real-time detection of DoS and DDoS attacks
Abstract The Internet of Things (IoT) has expanded into a realm of cutting-edge integrated
solutions across numerous applications, following three stages of development …
solutions across numerous applications, following three stages of development …