Intrusion detection: a brief history and overview

By Richard A. Kemmerer, Giovanni Vigna. 2002

478 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ec45ee08e4fb30088a38e9fecff9614233d60f95

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Je-Won Kang
2. Min-Joo Kang

In Computer Networks and Communications

1. Huy Kang Kim
2. Kang G. Shin
3. Kyong-Tak Cho

In Signal Processing

1. Huy Kang Kim
2. Kang G. Shin
3. Kyong-Tak Cho

Citations in the corpus

• Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security (2016, background): “There have been several research works considering safety problems in inter and intra vehicular communications [24 – 29].”
• Entropy-based anomaly detection for in-vehicle networks (2011, background): “As illustrated before, this comprises challenges like the achievement of a low rate of false positives and the fact that false alerts can be very costly, as well as the lack of suitable training data [6], [15].”