Log Anomaly Detection in Application Servers Using Deep Learning
E Alagöz, YM Şahin, K Özdem, AO Gedik… - … Conference on Artificial …, 2023 - Springer
Log anomaly detection is vital in managing large-scale and distributed systems used today.
Log analysis must be done in a short time and with high accuracy to be beneficial. As attacks …
Log analysis must be done in a short time and with high accuracy to be beneficial. As attacks …
Analyzing System Logs of Big Data Distributed Environment: A Review
K Pithode, PS Patheja - International Conference on Data Science and Big …, 2023 - Springer
Nowadays, data generation has presented all across different aspects of life. The objective
of this paper is to investigate existing individual techniques and present a comprehensive …
of this paper is to investigate existing individual techniques and present a comprehensive …
[PDF][PDF] Special Negative Database (SNDB) for Protecting Privacy in Big Data
TAL Ali, MH Khafagy… - International Journal of …, 2022 - pdfs.semanticscholar.org
Despite the importance of big data, it faces many challenges. The most important big data
challenges are data storage, heterogeneity, inconsistency, timeliness, security, scalability …
challenges are data storage, heterogeneity, inconsistency, timeliness, security, scalability …
[PDF][PDF] Real-Time Attacks Detection Model And Platform Using Big Data And Machine Learning
MM Shendi, HM Elkadi, MH Khafagy - International Journal of …, 2020 - academia.edu
one of the most serious attacks nowadays is the Distributed Denial of service (DDoS) attack.
DDoS attacks can be of two types: the layerthree (network layer) attacks and layer-seven …
DDoS attacks can be of two types: the layerthree (network layer) attacks and layer-seven …