Knowledge-based anomaly detection: Survey, challenges, and future directions

AQ Khan, S El Jaouhari, N Tamani, L Mroueh - Engineering Applications of …, 2024 - Elsevier
Due to the rapidly increasing number of Internet-connected objects, a huge amount of data
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …

Improvement of Kafka streaming using partition and multi-threading in big data environment

B Leang, S Ean, GA Ryu, KH Yoo - Sensors, 2019 - mdpi.com
The large amount of programmable logic controller (PLC) sensing data has rapidly
increased in the manufacturing environment. Therefore, a large data store is necessary for …

[HTML][HTML] Analysis of Hadoop log file in an environment for dynamic detection of threats using machine learning

KB Naidu, BR Prasad, SM Hassen, C Kaur… - Measurement …, 2022 - Elsevier
Log files are a significant piece of records that once properly analyzed, can yield helpful
information. The usage of cloud services for log analysis is almost inevitable due to the …

Use of machine learning services in cloud

CS Pawar, A Ganatra, A Nayak, D Ramoliya… - Computer Networks, Big …, 2021 - Springer
Abstract Machine learning services are the comprehensive description of integrated and
semiautomated web devices covering most facilities problems such as preprocessing …

Performance comparison of apache hadoop and apache spark

A Singh, A Khamparia, AK Luhach - Proceedings of the Third …, 2019 - dl.acm.org
The term'Big Data'is a broad term used for the data sets, which is enormous and traditional
data processing applications find it hard to process. Both Apache Spark and Apache …

Anomaly detection in complex real world application systems

R Gow, FA Rabhi, S Venugopal - IEEE Transactions on Network …, 2017 - ieeexplore.ieee.org
The ability to understand application performance and pro-actively manage system state is
becoming increasingly important as infrastructure services move toward commodisation …

EXPERIENCE: Algorithms and case study for explaining repairs with uniform profiles over IoT data

Z Liu, Y Zhang, R Huang, Z Chen, S Song… - Journal of Data and …, 2021 - dl.acm.org
IoT data with timestamps are often found with outliers, such as GPS trajectories or sensor
readings. While existing systems mostly focus on detecting temporal outliers without …

[图书][B] Computer Networks, Big Data and IoT

AP Pandian, X Fernando, SMS Islam - 2021 - Springer
This conference proceedings volume contains the written versions of most of the
contributions presented during the conference of ICCBI 2021. The conference provided a …

Survey on machine learning algorithms as cloud service for CIDPS

I Avdagic, K Hajdarevic - 2017 25th Telecommunication Forum …, 2017 - ieeexplore.ieee.org
Today IT vendors and mail/web/internet providers put their cloud strategy in the first place.
Challenges such as data security, privacy protection, data access, storage model, lack of …

Self Adjusting Log Observability for Cloud Native Applications

D Pathak, M Verma, A Chakraborty… - 2024 IEEE 17th …, 2024 - ieeexplore.ieee.org
With the increasing complexity of modern applications, particularly those relying on
microservices architectures, the volume of observability data, encompassing logs, metrics …