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4 days ago · The novelty of this paper is in determining and using hyperparameters to improve the Extended Isolation Forest (EIF) algorithm, a relatively new algorithm, to detect malicious activities in network traffic. The EIF algorithm is a variation of the Isolation Forest algorithm, known for its efficacy in detecting anomalies in high-dimensional data. Our research assesses the performance of the EIF model on a newly created dataset composed of Zeek Connection Logs, UWF-ZeekDataFall22. To handle the ...
1 day ago · In fact, Alibi Detect supports a variety of outlier detection techniques, including Mahalanobis distance, Isolation forest, and Seq2seq. The library can also handle a variety of data types, including tabular, image, text, and time series. Different types of algorithms are required depending on the type of data.
4 days ago · Log analysis is one of the main techniques that engineers use for troubleshooting large-scale software systems. Over the years, many supervised, semi-supervised, and unsupervised log analysis methods have been proposed to detect system anomalies by analyzing system logs. Among these, semi-supervised methods have garnered increasing attention as ...
4 days ago · Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou. 2008. Isolation forest. In 2008 eighth ieee international conference on data mining. 413–422.
1 day ago · by Divya Kilikar on 15 July 2024. India’s biodiversity hotspots are being increasingly fragmented by roads, dams, plantations, and urbanisation, which disrupt the complex interdependent relationships among species. This fragmentation leads to reduced habitat areas, increased isolation, and adverse ecological impacts, including declines in ...
4 days ago · Previous studies have demonstrated that the tree community of small and isolated forest fragments show persisting structural and functional attributes characteristic of early-successional systems. Yet, the impacts of forest small size and isolation on several tree community attributes have not been comprehensively quantified in long-term studies. Here we analysed permanent plots over 17 years to investigate the recovery of community attributes in a small tropical forest remnant surrounded by ...
5 days ago · We first utilized the Isolation Forest algorithm, achieving a detection accuracy of 26% for the top 1000 transactions. Subsequently, we experimented with the Autoencoder algorithm, an unsupervised deep neural network model, which enhanced the detection accuracy to 33.6% in the best case, despite some fluctuations.
