AI-Powered Threat Detection in Business Environments DOI
Muhammad Tayyab,

Khizar Hameed,

Majid Mumtaz

et al.

Advances in web technologies and engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 379 - 436

Published: Sept. 27, 2024

The use of artificial intelligence (AI) in cybersecurity is a need due to the outpacing conventional security measures by fast growth cyber threats. Exploring function machine learning (ML), deep (DL), and natural language processing (NLP) recogniz- ing reacting new dangers, this chapter offers thorough introduction AI-powered threat identification. paper contrasts AI- based systems with more traditional approaches, demonstrating how AI can better identify unknown assaults, adapt threats, decrease number false positives. It touches on topics such as training models using industry-specific data, ensuring they commu- nicate one other, keeping them up-to-date monitored. Data privacy, legislation compliance, best practices for detection are also discussed. We discuss human analysts work tools overcome obstacles, including bias, complicated systems, ethical considerations.

Language: Английский

Key Enabling Technologies for 6G: The Role of UAVs, Terahertz Communication, and Intelligent Reconfigurable Surfaces in Shaping the Future of Wireless Networks DOI Creative Commons

Wagdy M. Othman,

Abdelhamied A. Ateya, Mohamed E. Nasr

et al.

Journal of Sensor and Actuator Networks, Journal Year: 2025, Volume and Issue: 14(2), P. 30 - 30

Published: March 17, 2025

Sixth-generation (6G) wireless networks have the potential to transform global connectivity by supporting ultra-high data rates, ultra-reliable low latency communication (uRLLC), and intelligent, adaptive networking. To realize this vision, 6G must incorporate groundbreaking technologies that enhance network efficiency, spectral utilization, dynamic adaptability. Among them, unmanned aerial vehicles (UAVs), terahertz (THz) communication, intelligent reconfigurable surfaces (IRSs) are three major enablers in redefining architecture performance of next-generation systems. This survey provides a comprehensive review these transformative technologies, exploring their potential, design challenges, integration into future ecosystems. UAV-based flexible, on-demand remote, harsh areas is vital solution for disasters, self-driving, industrial automation. THz taking place 0.1–10 band reveals bandwidth capable rate multi-gigabits per second can avoid spectrum bottlenecks conventional bands. IRS technology based on programmable metasurface allows real-time wavefront control, maximizing signal propagation spectral/energy efficiency complex settings. The work architectural evolution, active current research trends, practical issues applying including contribution creation ultra-connected networks. In addition, it presents open questions, possible answers, directions information academia, industry, policymakers.

Language: Английский

Citations

1
Multi-antenna Arrays Based Massive-MIMO for B5G/6G: State-of-the-Art, Challenges and Future Research Directions DOI Open Access
Faizan Qamar, Syed Hussain Ali Kazmi, Khairul Akram Zainol Ariffin

et al.

Published: June 4, 2024

This comprehensive article explores Massive MIMO (M-MIMO) design and its associated concepts, focusing on the seamless integration requirements for Beyond 5G (B5G) 6G networks. Addressing critical aspects such as RF chain reduction, pilot contamination, Cell-Free MIMO, security considerations, delves into intricacies of M-MIMO in evolving landscape B5G. Moreover, emerging concepts this include AI-enabled three-dimensional beamforming, reconfigurable intelligent surfaces, visible light communication, THz spectrum utilization. review highlights challenges open research issues, including Narrow Aperture Antenna Nodes, Plasmonic Arrays, Integrated Sensing with M-MIMO, application Federated Learning systems. By examining these cutting-edge developments, aims to contribute advancing knowledge field inspire future directions exciting realm B5G

Language: Английский

Citations

4
6G virtualized beamforming: a novel framework for optimizing massive MIMO in 6G networks DOI Creative Commons
Ahmed M. Alwakeel

EURASIP Journal on Wireless Communications and Networking, Journal Year: 2025, Volume and Issue: 2025(1)

Published: April 9, 2025

Language: Английский

Citations

0
AI-Powered Threat Detection in Business Environments DOI
Muhammad Tayyab,

Khizar Hameed,

Majid Mumtaz

et al.

Advances in web technologies and engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 379 - 436

Published: Sept. 27, 2024

The use of artificial intelligence (AI) in cybersecurity is a need due to the outpacing conventional security measures by fast growth cyber threats. Exploring function machine learning (ML), deep (DL), and natural language processing (NLP) recogniz- ing reacting new dangers, this chapter offers thorough introduction AI-powered threat identification. paper contrasts AI- based systems with more traditional approaches, demonstrating how AI can better identify unknown assaults, adapt threats, decrease number false positives. It touches on topics such as training models using industry-specific data, ensuring they commu- nicate one other, keeping them up-to-date monitored. Data privacy, legislation compliance, best practices for detection are also discussed. We discuss human analysts work tools overcome obstacles, including bias, complicated systems, ethical considerations.

Language: Английский

Citations

0