International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 120 | Views: 250

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 9, September 2014 | Popularity: 6.8 / 10


     

Online Anomaly Detection under Over-sampling PCA

Y Srilakshmi, D Ratna Kishore


Abstract: Anomaly detection is the process of identifying unusual behavior. Outlier detection is an important issue in data mining and has been studied in different research areas. In this paper we use Leave One Out procedure to check each individual point the with or without effect on the variation of principal directions. Based on this idea, an over-sampling principal component analysis (osPCA) outlier detection method is proposed for emphasizing the influence of an abnormal instance. Except for identifying the suspicious outliers, we also design an online anomaly detection to detect the new arriving anomaly. In addition, we also study the quick updating of the principal directions for the effective computation and satisfying the online detecting demand. It is widely used in data mining; the proposed framework is favored for online applications which have computation or memory limitations. Compared with the all existing algorithms, our proposed method is in terms of flexibility, accuracy and efficiency.


Keywords: over sampling, anomaly detection, fault detection, Leave One Out, Principle component analysis


Edition: Volume 3 Issue 9, September 2014


Pages: 1285 - 1288



Make Sure to Disable the Pop-Up Blocker of Web Browser




Text copied to Clipboard!
Y Srilakshmi, D Ratna Kishore, "Online Anomaly Detection under Over-sampling PCA", International Journal of Science and Research (IJSR), Volume 3 Issue 9, September 2014, pp. 1285-1288, https://www.ijsr.net/getabstract.php?paperid=SEP14337, DOI: https://www.doi.org/10.21275/SEP14337



Similar Articles

Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Analysis Study Research Paper, Computer Science & Engineering, India, Volume 10 Issue 1, January 2021

Pages: 1659 - 1668

Anomaly Detection: Enhancing Systems with Machine Learning

Yogananda Domlur Seetharama

Share this Article

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Analysis Study Research Paper, Computer Science & Engineering, India, Volume 13 Issue 8, August 2024

Pages: 832 - 839

Leveraging Artificial Intelligence for Enhanced Cybersecurity: A Systematic Approach

Mohammed Saleem Sultan, Mohammed Shahid Sultan

Share this Article

Downloads: 3 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Computer Science & Engineering, India, Volume 11 Issue 9, September 2022

Pages: 1284 - 1287

Leveraging Deep Learning for Enhanced Fraud Detection in Banking: A Comprehensive Analysis of Strategies and Future Directions

Harish Narne

Share this Article

Downloads: 3 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Computer Science & Engineering, India, Volume 12 Issue 8, August 2023

Pages: 2571 - 2575

Enhancing IoT Cybersecurity with Graph Neural Networks: Advanced Anomaly Detection and Threat Mitigation

Harish Narne

Share this Article

Downloads: 4 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Informative Article, Computer Science & Engineering, India, Volume 11 Issue 8, August 2022

Pages: 1497 - 1500

Innovative Approach to Mitigate Man-in-the-Middle Attacks in Secure Communication Channels

Arnab Dey

Share this Article
Top