[PDF][PDF] Strategic framework for leveraging artificial intelligence in future marketing decision-making

N Hicham, H Nassera, S Karim - Journal of Intelligent …, 2023 - researchgate.net
Disruptive technologies such as the big data analytics, blockchain, Internet of Things, and
artificial intelligence have each impacted how businesses operate. The most recent example …

When machine learning meets congestion control: A survey and comparison

H Jiang, Q Li, Y Jiang, GB Shen, R Sinnott, C Tian… - Computer Networks, 2021 - Elsevier
Abstract Machine learning has seen a significant surge and uptake across many diverse
applications. The high flexibility, adaptability, and computing capabilities it provides extend …

Performance and features: Mitigating the low-rate TCP-targeted DoS attack via SDN

D Tang, Y Yan, S Zhang, J Chen… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging network architecture. The decoupled
data and control plane provides programmability for efficient network management …

GASF-IPP: Detection and mitigation of LDoS attack in SDN

D Tang, S Wang, B Liu, W Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Software defined networking (SDN), a highly regarded architecture, enhances the
programmability and manageability of the network by decoupling the data plane and the …

Real-time detection and mitigation of LDoS attacks in the SDN using the HGB-FP algorithm

D Tang, S Zhang, Y Yan, J Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The software-defined network (SDN) has created the conditions for the optimization and
development of network structures. However, its architecture is still not sufficient to resist or …

The detection of low-rate DoS attacks using the SADBSCAN algorithm

D Tang, S Zhang, J Chen, X Wang - Information Sciences, 2021 - Elsevier
Low-rate denial-of-service (DoS) attacks, which can exploit vulnerabilities in Internet
protocols to deteriorate the quality of service, are variants of DoS attacks. It is challenging to …

ADMS: An online attack detection and mitigation system for LDoS attacks via SDN

D Tang, X Wang, Y Yan, D Zhang, H Zhao - Computer Communications, 2022 - Elsevier
Abstract Low-rate Denial of Service (LDoS) attacks cause severe destructiveness to network
security. Consequently, the implementation of detection and defense against them is a …

A game-theoretic approach of cyberattack resilient constraint-following control for cyber–physical systems

X Zhang, YH Chen, D Zhang, R Zhao, L Guo - Ad Hoc Networks, 2024 - Elsevier
Cyber–physical systems (CPSs) integrate network and physical components. The relevant
network security issues have been receiving consistent attention. This paper considers …

AKN-FGD: adaptive kohonen network based fine-grained detection of ldos attacks

D Tang, X Wang, X Li, P Vijayakumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Low-rate denial of service (LDoS) attacks exploit the security vulnerabilities of network
protocols adaptive mechanisms to launch periodic bursts. These attacks result in the severe …

Analysis of unsupervised machine learning techniques for an efficient customer segmentation using clustering ensemble and spectral clustering

N Hicham, S Karim - International Journal of Advanced …, 2022 - search.proquest.com
Customer segmentation is key to a corporate decision support system. It is an important
marketing technique that can target specific client categories. We create a novel consumer …