Based on a Network Intrusion detection dataset provided by Kaggle.com, ELSC is compared to base classifiers such as KNN, NB, LR, DT, SVM, and Linear Discriminate Analysis. As a result of the simulations, the proposed ELBS stacking classifier was found to outperform the other comparat...
GraphBEAN is a graph convolutional network designed by Grab for anomaly detection. This powerful model is able to handle heterogeneous data, thereby capturing data of different types from the nodes and edges. This article went through the six steps to building a link prediction GCN mo...
The Systems for detecting intrusions may be based on known attacks (misuse detection based on signatures) or unusual behavior (intrusion detection based on abnormal behavior) (Anomaly-based detection). These two kinds of IDSs are created utilizing data mining methods. The core vector machine (CVM)...
Section 6 provides a description of the research related to anomaly and fake news detection. The last section contains the conclusion and directions for future work. 2 Deep learning and social networks In this section, we provide a brief overview of deep learning algorithms and social networks. ...
Data Availability All the data used in the experiments, are available in Kaggle https://www.kaggle.com/rishidamarla/parkinsons-telemonitoring-dataReferences Almeida JS, Rebouças Filho PP, Carneiro T, Wei W, Damaševičius R, Maskeliūnas R et al (2019) Detecting Parkinson’s disease with...
Anomaly Detection using tensorflow and tshark. [37星][8y] [JS] mudynamics/pcapr-local 浏览与管理大规模的pcap文件 [36星][4m] [Py] cisco-talos/re2pcap 用原始HTTP请求或响应创建PCAP文件 [36星][11m] [Go] hdiniz/rtpdump Extract audio file from RTP streams in pcap format [35星][2y]...
(2021). Each function outputs whether a given CAN frame is anomalous or not. We use multiple functions in our anomaly detection engine and have presented the rationale for this in our prior work. The major contributions of this paper are (1) a decision engine that uses the outputs of ...
We consider applications such as opinion analysis, sentiment analysis, text classification, recommender systems, structural analysis, anomaly detection, and fake news detection. We compare different schemes on the basis of their focus and features. Further, we point out directions for future work....
Wang, W., Chen, Q., He, X., Tang, L.: Cooperative anomaly detection with transfer learning-based hidden Markov model in virtualized network slicing. IEEE Commun. Lett. 23(9), 1534–1537 (2019). https://doi.org/10.1109/LCOMM.2019.2923913 Article Google Scholar Chiha, A., Van der We...
Validation Checks and Anomaly Detection: Implement regular validation checks and anomaly detection mechanisms to identify and mitigate unusual patterns in the encrypted data. Mathematical Concept: Loss Function: Defined as [Math Processing Error]L(w,X,y) where [Math Processing Error]w represents the ...