Work

Better Anomaly Detection for Access Attacks Using Deep Bidirectional LSTMs

Year: 2021

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-70866-5_1

Authors: Henry Clausen, Gudmund Grov, Marc Sabate, David Aspinall

Institutions: University of Edinburgh, Norwegian Defence Research Establishment, The Alan Turing Institute

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: UK Research and Innovation, BT Group, Engineering and Physical Sciences Research Council, Office of Naval Research, Office of Naval Research Global

Awards: G1633672591, G444630160, The Alan Turing Institute, AISEC: AI Secure and Explainable by Construction, G712040199, Robustness-as-evolvability: building a dynamic control plane with Software-Defined Networking, G8581904048

OpenAlex ID: W3134327643

FWCI: 1.156

Cites: 20

Cited by: 6

Related to: 10