Title
Impact of Artificial Intelligence on Computer Networks
Authors
[ 1 ] Szkoła Doktorska, Akademia Sztuki Wojennej | [ SzD ] doctoral school student
Scientific discipline (Law 2.0)
Year of publication
2024
Published in
Article type
scientific article
Publication language
english
Keywords
EN
- Artificial intelligence
- Machine learning
- Network security
- Deep learning
PL
- Cyberbezpieczeństwo
- Sztuczna inteligencja
- Uczenie maszynowe
- Uczenie głębokie
- Uczenie przez wzmacnianie (uczenie maszynowe)
Abstract
EN The integration of artificial intelligence (AI) into computer networks has rapidly evolved, influencing network architecture, security measures, and traffic management. This paper explores AI's transformative impact on these areas, focusing on advancements in machine learning (ML), deep learning (DL), and reinforcement learning. These innovations are reshaping network security by improving threat detection and anomaly identification, as well as enhancing traffic management through predictive and adaptive routing. AI-driven systems are also making strides in automating network management tasks, allowing for more efficient resource allocation and self-healing networks. Despite these advancements, challenges remain, particularly concerning the integration of AI with legacy infrastructures and the ethical implications of AI decision-making processes.
Pages (from - to)
49 - 59
License type
CC BY-NC-ND (attribution - noncommercial - no derivatives)
Open Access Mode
open journal
Open Access Text Version
final published version
Release date
13.02.2025
Ministry points / journal
5
This website works thanks to the software SINUS
created by Poznan Supercomputing and Networking Center
Log in to submit to SIS: