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[HTML][HTML] A deeper look into cybersecurity issues in the wake of Covid-19: A survey
This study analyzed the Coronavirus (COVID-19) crisis from the angle of cyber-crime,
highlighting the wide spectrum of cyberattacks that occurred around the world. The modus …
highlighting the wide spectrum of cyberattacks that occurred around the world. The modus …
Artificial intelligence (AI) and machine learning (ML)-based Information security in electric vehicles: A review
The use of artificial intelligence (AI) and machine learning (ML) in electric vehicles (EVs) is
gaining popularity as a means of improving information security. However, there is a lack of …
gaining popularity as a means of improving information security. However, there is a lack of …
Detection of Ponzi scheme on Ethereum using machine learning algorithms
Security threats posed by Ponzi schemes present a considerably higher risk compared to
many other online crimes. These fraudulent online businesses, including Ponzi schemes …
many other online crimes. These fraudulent online businesses, including Ponzi schemes …
Air‐Gapped Networks: Exfiltration without Privilege Escalation for Military and Police Units
Several security tools have been described in recent times to assist security teams; however,
the effectiveness and success remain limited to specific devices. Phishing is a type of …
the effectiveness and success remain limited to specific devices. Phishing is a type of …
Eye-gesture control of computer systems via artificial intelligence
N Mohamed - F1000Research, 2024 - f1000research.com
Background Artificial Intelligence (AI) offers transformative potential for human-computer
interaction, particularly through eye-gesture recognition, enabling intuitive control for users …
interaction, particularly through eye-gesture recognition, enabling intuitive control for users …
Using AI and kinetic energy to charge mobile devices with human movement
As mobile devices become more prevalent, there'sa rising demand for consistent and eco-
friendly ways to charge them. Traditional plug-in methods don't always cut it, especially in …
friendly ways to charge them. Traditional plug-in methods don't always cut it, especially in …
Leveraging AI and ML Applications for Robust EV Information Security: A Review.
A Sehwag, S Sahoo, A Pokhriyal… - Library of Progress …, 2024 - search.ebscohost.com
Although integrating artificial intelligence and machine learning into electric vehicles to
improve cybersecurity is gaining in popularity, the practical applications of this concept are …
improve cybersecurity is gaining in popularity, the practical applications of this concept are …
[PDF][PDF] A decentralized consensus application using blockchain ecosystem
The consensus is a critical operation of any decision-making process. It involves a set of
eligible members; whose decision need to be honored by taking their acknowledgment …
eligible members; whose decision need to be honored by taking their acknowledgment …
A Comprehensive Review of Natural Language Processing Techniques for Malware Detection
N Mohamed - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
In an era marked by the unprecedented proliferation of cybersecurity threats, conventional
malware detection paradigms characterized by signature-based and heuristic …
malware detection paradigms characterized by signature-based and heuristic …
A Novel Intelligent Intrusion Prevention Framework for Network Applications
Nowadays, the intrusion prevention model in network applications is essential in protecting
data from malicious users. The intrusion prevention model involves detecting and removing …
data from malicious users. The intrusion prevention model involves detecting and removing …