%0 Conference Paper %1 karn2021anomaly %A Karn, Rupesh %A Joshi, Suvrat Ram %A Bista, Umanga %A Joshi, Basanta %A Baral, Daya Sagar %A Shakya, Aman %B Information and Communication Technology for Intelligent Systems: Proceedings of ICTIS 2020, Volume 2 %C Singapore %D 2021 %E Senjyu, Tomonobu %E Mahalle, Parikshit N. %E Perumal, Thinagaran %E Joshi, Amit %I Springer %K imported myown %P 139--147 %R https://doi.org/10.1007/978-981-15-7062-9_14 %T Anomaly Detection in Distributed Streams %U https://link.springer.com/chapter/10.1007/978-981-15-7062-9_14 %V 196 %X Anomalies refer to any non-conforming patterns to the expected behavior in the system. The detection of anomaly in real time from logs arriving at very high velocity and are in huge volume requires a distributed framework with high throughput and low latency. In this research, statistical method has been implemented for finding the suspicious associations in Spark Streaming, a highly scalable distributed and streaming framework. The models were deployed in both local mode as well as in cluster mode to perform anomaly detection on server logs.

@inproceedings{karn2021anomaly, abstract = {Anomalies refer to any non-conforming patterns to the expected behavior in the system. The detection of anomaly in real time from logs arriving at very high velocity and are in huge volume requires a distributed framework with high throughput and low latency. In this research, statistical method has been implemented for finding the suspicious associations in Spark Streaming, a highly scalable distributed and streaming framework. The models were deployed in both local mode as well as in cluster mode to perform anomaly detection on server logs.}, added-at = {2023-03-07T12:13:40.000+0100}, address = {Singapore}, author = {Karn, Rupesh and Joshi, Suvrat Ram and Bista, Umanga and Joshi, Basanta and Baral, Daya Sagar and Shakya, Aman}, biburl = {https://www.bibsonomy.org/bibtex/2c5ac97025d10379d3e1fd26ba37aee91/amanshakya}, booktitle = {Information and Communication Technology for Intelligent Systems: Proceedings of ICTIS 2020, Volume 2}, doi = {https://doi.org/10.1007/978-981-15-7062-9_14}, editor = {Senjyu, Tomonobu and Mahalle, Parikshit N. and Perumal, Thinagaran and Joshi, Amit}, interhash = {1604271c629204b999bf7fd649d1fa99}, intrahash = {c5ac97025d10379d3e1fd26ba37aee91}, keywords = {imported myown}, organization = {Springer Singapore}, pages = {139--147}, publisher = {Springer}, series = {Smart Innovation, Systems and Technologies book series (SIST)}, timestamp = {2023-03-10T07:22:15.000+0100}, title = {Anomaly Detection in Distributed Streams}, url = {https://link.springer.com/chapter/10.1007/978-981-15-7062-9_14}, volume = 196, year = 2021 }