Federated Learning (FL) has been foundational in improving the performance of a wide
range of applications since it was first introduced by Google. Some of the most prominent …

Big Data analytics is used in decision making. It involves heavy computation to obtain exact
answers. To alleviate this problem, approximate query processing (AQP) was adopted …

In the ever-evolving landscape of cybersecurity, the effective detection of threats is
paramount to safeguarding digital assets and privacy. This research article presents a …

Cyber threats and data breaches have become more sophisticated and stealthier over time.
Traditional rule-based intrusion detection systems fail to detect many modern attacks. This …

With the rapid growth of network traffic and the increasing sophistication of cyberattacks,
detecting network traffic anomalies and intrusions in real-time is crucial for network security …

The abstract highlights the pivotal role of big data integration in forging smart robotics,
emphasizing its impact on decision-making processes, adaptability, and overall system …

Big Data has gained attention due to its significant impact on society. With the growth of IoT,
data has grown exponentially. Big Data has played an essential role in decision-making …

In light of the increasing sophistication of cyberattacks and the rapid growth in network traffic,
it is essential to detect network traffic anomalies or intrusions as they occur. Manual …

This study aims to evaluate the impact of Big Data Analytics on personalized e-commerce
shopping experiences and customer retention strategies. In the ever-evolving e-commerce …

Cloud computing has become ubiquitous, providing convenient on-demand access to
computing resources. However, security remains a major concern, as cloud environments …