Work

Kalis — A System for Knowledge-Driven Adaptable Intrusion Detection for the Internet of Things

Year: 2017

Type: conference-paper

Source: IEEE International Conference on Distributed Computing Systems (ICDCS)

DOI: 10.1109/icdcs.2017.104

Authors: Daniele Midi, Antonino Rullo, Anand Mudgerikar, Elisa Bertino

Institutions: Purdue University West Lafayette, University of Calabria

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W2736183220

FWCI: 14.85

Cites: 33

Cited by: 172

Related to: 10