Cyberattacks Prediction with Machine Learning
Year: 2025
Type: article
Abstract: A cyber-attack occurs when an organization uses cyberspace to disrupt, disrupted, disable, damage, or manipulate the infrastructure; This also occurs when the integrity of the data is destroyed or controlled information is stolen. The current state of cyberspace reflects uncertainty about the future of the Internet and its rapidly growing user base. New paradigms cause more concerns because the large data collected by the gadget sensors reveals a lot of information that can be used for concentrated attacks. Although the mounds of the extinct approach, models and algorithms have provided the basis for predictions for cyberbulder, must consider new models and algorithms, which are based on data deficiencies other than work techniques. However, the non-regional information processing architecture can be adapted to learn different data representations of network traffic to classify the type of network attacks.
Author: Praveen Kumar Prajapati
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409675699