Results 291 to 300 of about 2,419,123 (314)

Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection

Industrial Conference on Data Mining, 2023
Anomaly detection is one of the crucial research topics in artificial intelligence, encompassing various fields such as health monitoring, network intrusion detection, and fraud detection in financial transactions.
Haolong Xiang, Xuyun Zhang, M. Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu   +5 more
semanticscholar   +1 more source

Unsupervised deep learning framework for ultrasonic-based distributed damage detection in concrete: integration of a deep auto-encoder and Isolation Forest for anomaly detection

Structural Health Monitoring, 2023
This study presented an unsupervised anomaly detection-based framework for distributed damage detection in concrete using ultrasonic response signals. A deep fully connected auto-encoder was employed to reconstruct the ultrasonic response signals.
Vahab Toufigh, Iman Ranjbar
semanticscholar   +1 more source

Fuzzy C-Means-based Isolation Forest

Applied Soft Computing, 2021
Abstract The problem of finding anomalies (outliers) in databases is one of the most important issues in modern data analysis. One of the reasons is the occurrence of this issue in almost every type of database, including numerical, categorical, time, mixed, or graphic data.
Paweł Karczmarek, Adam Kiersztyn, Witold Pedrycz, Dariusz Czerwiński   +3 more
openaire   +1 more source

Intelligent Cross-Working Condition Fault Detection and Diagnosis Using Isolation Forest and Adversarial Discriminant Domain Adaptation

IEEE Transactions on Instrumentation and Measurement
The increasing complexity and varying operational conditions of today’s rotating machinery present significant challenges for automated fault diagnosis.
Yaqiong Lv, Xiaoling Guo, S. Shirmohammadi, Lu Qian, Yi Gong, Xinjue Hu   +5 more
semanticscholar   +1 more source

Abnormal Electricity Detection of Users Based on Improved Canopy-Kmeans and Isolation Forest Algorithms

IEEE Access
Aiming at the existing user abnormal electricity consumption detection methods that have the problem of difficult classification of user similar electricity consumption patterns, this paper proposes an unsupervised isolation forest abnormal electricity ...
Jianyuan Wang, Xiaoyao Li
semanticscholar   +1 more source

Anomaly Detection Based on Isolated Forests

2021
Anomaly detection plays an important role in big data, which deals with high dimensional data effectively and quickly. In this paper is going to propose an anomaly detection method based on isolated forests. In the proposed method, the original data set is divided into different initial static blocks to calculate the intra-block density and mean ...
Jun-Liang Li, Yi-Feng Zhou, Zhi-Yang Ying, Hong Xu, Yuanxi Li, Xiaojie Li   +5 more
openaire   +1 more source

Enhancing Network Security: Leveraging Isolation Forest for Malware Detection

2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
In this work it has been shown that the growth of computer attacks continues to advance constantly, as well as the large number of vulnerability detection and protection tools that exist, therefore, not protecting a computer system allows easy access by ...
Janardan Pawar, M. Avhankar, Ashulekha Gupta, Amit Barve, Harshal Patil, R. Maranan   +5 more
semanticscholar   +1 more source

An Ensemble Framework for Network Anomaly Detection Using Isolation Forest and Autoencoders

2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)
In today's digitally interconnected world, securing computer networks against potential threats is of utmost importance integrity and confidentiality of sensitive information are some of the integral concerns when securing the networks from malicious ...
M. G, Vinith A, Sathyanarayanan A S, Sowmi Saltonya M, S. M   +4 more
semanticscholar   +1 more source

Isolation Forest Algorithm Against UAV’s GPS Spoofing Attack

2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics
Nowadays, Unmanned Aerial Vehicle (UAV) platforms are a valuable source of data for inspection, surveillance, mapping, and 3D modeling issues. Embedded electronic and communication systems within UAVs are based on the integration of the Internet of ...
Ahmed Burhan Mohammed, Lamia Chaari, A. Fakhrudeen   +2 more
semanticscholar   +1 more source

Anomaly Detection in Streaming Data using Isolation Forest

2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU)
In the era of constant data generation and exchange, the concept of data streams, which entails the rapid and organized transmission of vast volumes of data online, has become prevalent.
Mohammed Shaker Kareem, Lamia Abed Noor Muhammed   +1 more
semanticscholar   +1 more source