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Security threats, countermeasures, and challenges of digital supply chains
The rapid growth of Information Communication Technologies (ICT) has impacted many
fields. In this context, the supply chain has also quickly evolved toward the digital supply …
fields. In this context, the supply chain has also quickly evolved toward the digital supply …
Deep learning-based intrusion detection systems: a systematic review
Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …
networks have inspired security researchers to incorporate different machine learning …
Develo** realistic distributed denial of service (DDoS) attack dataset and taxonomy
Distributed Denial of Service (DDoS) attack is a menace to network security that aims at
exhausting the target networks with malicious traffic. Although many statistical methods have …
exhausting the target networks with malicious traffic. Although many statistical methods have …
Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions
A Singh, BB Gupta - International Journal on Semantic Web and …, 2022 - igi-global.com
The demand for Internet security has escalated in the last two decades because the rapid
proliferation in the number of Internet users has presented attackers with new detrimental …
proliferation in the number of Internet users has presented attackers with new detrimental …
A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
Smart detection: an online approach for DoS/DDoS attack detection using machine learning
FS Lima Filho, FAF Silveira… - Security and …, 2019 - Wiley Online Library
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …
(DoS) attacks. This cyber threat continues to grow even with the development of new …
A survey and taxonomy of the fuzzy signature-based intrusion detection systems
M Masdari, H Khezri - Applied Soft Computing, 2020 - Elsevier
Organizations that benefit from information technologies are vulnerable to various attacks
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …
A survey of denial-of-service attacks and solutions in the smart grid
The scope, scale, and intensity of real, as well as potential attacks, on the Smart Grid have
been increasing and thus gaining more attention. An important component of Smart Grid …
been increasing and thus gaining more attention. An important component of Smart Grid …
Big data meets metaverse: A survey
J Sun, W Gan, Z Chen, J Li, PS Yu - arxiv preprint arxiv:2210.16282, 2022 - arxiv.org
We are living in the era of big data. The Metaverse is an emerging technology in the future,
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …