A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions
Internet usage has grown exponentially, with individuals and companies performing multiple
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
A comprehensive systematic literature review on intrusion detection systems
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …
because cyber attackers are changing packet contents to disguise the intrusion detection …
Hierarchical federated learning based anomaly detection using digital twins for smart healthcare
Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, and …
medical devices and applications used in smart hospitals, smart-home based care, and …
Vehicle security: A survey of security issues and vulnerabilities, malware attacks and defenses
Recent years have led the path to the evolution of automotive technology and with these
new developments, modern vehicles are getting increasingly astute and offering growing …
new developments, modern vehicles are getting increasingly astute and offering growing …
GOSVM: Gannet optimization based support vector machine for malicious attack detection in cloud environment
M Arunkumar, KA Kumar - International Journal of Information Technology, 2023 - Springer
Cloud computing is the most useful computing technology for the new service progression.
Due to the distributed nature of cloud computing, security threats and cyber attacks are …
Due to the distributed nature of cloud computing, security threats and cyber attacks are …
Android malware detection as a bi-level problem
Malware detection is still a very challenging topic in the cybersecurity field. This is mainly
due to the use of obfuscation techniques. To solve this issue, researchers proposed to …
due to the use of obfuscation techniques. To solve this issue, researchers proposed to …
A State-of-the-Art Review of Malware Attack Trends and Defense Mechanism.
The increasing sophistication of malware threats has led to growing concerns in the anti-
malware community, as malware poses a significant danger to online users despite the …
malware community, as malware poses a significant danger to online users despite the …
Detecting anomalous user behavior in remote patient monitoring
The growth in Remote Patient Monitoring (RPM) services using wearable and non-wearable
Internet of Medical Things (IoMT) promises to improve the quality of diagnosis and facilitate …
Internet of Medical Things (IoMT) promises to improve the quality of diagnosis and facilitate …
Development of a scale to measure cybercrime-awareness on social media
This study developed a psychometric scale to measure users' cybercrime awareness level
on social media. Psychometric properties of the C ybercrime A wareness on S ocial M edia S …
on social media. Psychometric properties of the C ybercrime A wareness on S ocial M edia S …
Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks
U Urooj, BAS Al-Rimy, A binti Zainal, F Saeed… - IEEE …, 2023 - ieeexplore.ieee.org
Crypto-ransomware attacks pose a significant cyber threat due to the irreversible effect of
encryption employed to deny access to the data on the victim's device. Existing state-of-the …
encryption employed to deny access to the data on the victim's device. Existing state-of-the …