?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Stats+101+in+P4%3A+Towards+In-Switch+Anomaly+Detection&rft.creator=Gao%2C+S&rft.creator=Handley%2C+M&rft.creator=Vissicchio%2C+S&rft.description=Data+plane+programmability+is+greatly+improving+network+monitoring.+Most+new+proposals+rely+on+controllers+pulling+information+(e.g.%2C+sketches+or+packets)+from+the+data+plane.+This+architecture+is+not+a+good+fit+for+tasks+requiring+high+reactivity%2C+such+as+failure+recovery%2C+attack+mitigation%2C+and+so+on.+Focusing+on+these+tasks%2C+we+argue+for+a+different+architecture%2C+where+the+data+plane+autonomously+detects+anomalies+and+pushes+alerts+to+the+controller.+As+a+first+step%2C+we+demonstrate+that+statistical+checks+can+be+implemented+in+P4+by+revisiting+definition+and+online+computation+of+statistical+measures.+We+collect+our+techniques+in+a+P4+library%2C+and+showcase+how+they+enable+in-switch+anomaly+detection.&rft.publisher=ACM&rft.date=2021-11-10&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++HotNets+'21%3A+Proceedings+of+the+Twentieth+ACM+Workshop+on+Hot+Topics+in+Networks.++(pp.+pp.+84-90).++ACM%3A+Virtual+Event%2C+United+Kingdom.+(2021)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10139890%2F1%2FStat4_hotnets21.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10139890%2F&rft.rights=open