Auto-Logging: AI-centred Logging Instrumentation
Logging in software development plays a crucial role in bug-fixing, maintaining the code and
operating the application. Logs are hints created by human software developers that aim to …
operating the application. Logs are hints created by human software developers that aim to …
First ce matters: On the importance of long term properties on memory failure prediction
Dynamic random access memory failures are a threat to the reliability of data centres as they
lead to data loss and system crashes. Timely predictions of memory failures allow for taking …
lead to data loss and system crashes. Timely predictions of memory failures allow for taking …
Unsupervised strategies in detecting log anomalies using AIOps monitoring to amplify performance by PCA and ANN systems
VB Ramu, AR Yeruva - International Journal of Critical …, 2024 - inderscienceonline.com
A fundamental task that artificial intelligent operations (AIOps) perform is to mitigate the risk
of abnormal system behaviours, identify and demystify the alerts when encountering the …
of abnormal system behaviours, identify and demystify the alerts when encountering the …
AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios
Artificial intelligence operations (AIOps) play a pivotal role in identifying, mitigating, and
analyzing anomalous system behaviors and alerts. However, the research landscape in this …
analyzing anomalous system behaviors and alerts. However, the research landscape in this …
System for Detecting Anomalies in Information Security Logs
EA Atarskaya, AD Kirillova - … for Industry"(IITI'24), Volume 2, 2024 - books.google.com
The work proposes models and algorithms for detecting anomalies in the functioning of an
information system based on the analysis of information security tools logs using neural …
information system based on the analysis of information security tools logs using neural …
System for Detecting Anomalies in Information Security Logs
AM Vulfin, PS Lozhnikov, AE Sulavko… - … on Intelligent Information …, 2024 - Springer
The work proposes models and algorithms for detecting anomalies in the functioning of an
information system based on the analysis of information security tools logs using neural …
information system based on the analysis of information security tools logs using neural …
[KİTAP][B] AI-enabled log analysis for improving IT system dependability
J Bogatinovski - 2023 - search.proquest.com
Modern IT systems play an indispensable role in industrial infrastructure and affect human
society, as billions of users and devices constantly compute, exchange and store data. Their …
society, as billions of users and devices constantly compute, exchange and store data. Their …
AI-driven Log Analysis for Intrusion Detection
J Sundin, L Särud - 2024 - lup.lub.lu.se
Today's security systems generate system logs that contain information about important
events such as intrusion attempts and hardware failures. However, the large volume of data …
events such as intrusion attempts and hardware failures. However, the large volume of data …
以 Kubernetes 與嵌入式**台為基礎應用於主機入侵檢測系統之研究
曾靖庭 - 臺灣師範大學資訊工程學系學位論文, 2022 - airitilibrary.com
隨著科技的日新月異, 物聯網技術的發達, 使得網路需求相當的廣泛, 許多應用上都需要透過網路
來傳達資訊, 包括網路購物, 線上辦公, 智慧車聯網, 智慧電視等等, 而在資訊傳遞的過程 …
來傳達資訊, 包括網路購物, 線上辦公, 智慧車聯網, 智慧電視等等, 而在資訊傳遞的過程 …