Big data analytics for user-activity analysis and user-anomaly detection in mobile wireless network
The next generation wireless networks are expected to operate in fully automated fashion to
meet the burgeoning capacity demand and to serve users with superior quality of …
meet the burgeoning capacity demand and to serve users with superior quality of …
Call detail records driven anomaly detection and traffic prediction in mobile cellular networks
Mobile networks possess information about the users as well as the network. Such
information is useful for making the network end-to-end visible and intelligent. Big data …
information is useful for making the network end-to-end visible and intelligent. Big data …
Deep learning-based risk management of financial market in smart grid
T Teng, L Ma - Computers and Electrical Engineering, 2022 - Elsevier
Smart grid control systems (SGCSs) become more vulnerable to cyber-attacks because of
the combination of the Internet of Things and communication systems. Conventional …
the combination of the Internet of Things and communication systems. Conventional …
Causalconvlstm: Semi-supervised log anomaly detection through sequence modeling
S Yen, M Moh, TS Moh - 2019 18th IEEE International …, 2019 - ieeexplore.ieee.org
Computer systems utilize logging to record events of interest. These logs are a rich source of
information, and can be analyzed to detect attacks, failures, and many other issues. Due to …
information, and can be analyzed to detect attacks, failures, and many other issues. Due to …
Wavelets on graphs with application to transportation networks
The technological advancements in Intelligent Transport Systems have made it possible to
acquire large amounts of traffic data in real-time. As a result, various data-mining techniques …
acquire large amounts of traffic data in real-time. As a result, various data-mining techniques …
Big data driven anomaly detection for cellular networks
Q Zhu, L Sun - Ieee Access, 2020 - ieeexplore.ieee.org
Anomaly detection for large scale cellular networks can be used by network operators to
optimize network performance and enhance mobile user experience. This paper aims at …
optimize network performance and enhance mobile user experience. This paper aims at …
Anomaly detection in smart grid traffic data for home area network
DM Menon, N Radhika - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Strengthening of Smart Grid functionalities has become the need of the 21st Century.
Security evolves to be the primary concern at the deployment level of Smart Grids. Cyber …
Security evolves to be the primary concern at the deployment level of Smart Grids. Cyber …
[PDF][PDF] Artificially intelligent cyberattacks
E Zouave, M Bruce, K Colde, M Jaitner, I Rodhe… - … FOI [Online] Available …, 2020 - uu.se
This report explores the possibilities and applications of artificial intelligence (AI) within the
various stages of a cyberattack. It is a literature review of the current state of the art in AI …
various stages of a cyberattack. It is a literature review of the current state of the art in AI …
Assessing the impact of intra-cloud live migration on anomaly detection
Virtualized cloud environments have emerged as a necessity within modern unified ICT
infrastructures and have established themselves as a reliable backbone for numerous …
infrastructures and have established themselves as a reliable backbone for numerous …
[HTML][HTML] Toward preparing a knowledge base to explore potential drugs and biomedical entities related to COVID-19: automated computational approach
Background: Novel coronavirus disease 2019 (COVID-19) is taking a huge toll on public
health. Along with the non-therapeutic preventive measurements, scientific efforts are …
health. Along with the non-therapeutic preventive measurements, scientific efforts are …