TY - GEN
T1 - A novel online incremental learning intrusion prevention system
AU - Constantinides, Christos
AU - Shiaeles, Stavros
AU - Ghita, Bogdan
AU - Kolokotronis, Nicholas
PY - 2019/7/15
Y1 - 2019/7/15
N2 - Attack vectors are continuously evolving in order to evade Intrusion Detection systems. Internet of Things (IoT) environments, while beneficial for the IT ecosystem, suffer from inherent hardware limitations, which restrict their ability to implement comprehensive security measures and increase their exposure to vulnerability attacks. This paper proposes a novel Network Intrusion Prevention System that utilises a Self-Organizing Incremental Neural Network along with a Support Vector Machine. Due to its structure, the proposed system provides a security solution that does not rely on signatures or rules and is capable to mitigate known and unknown attacks in real-time with high accuracy. Based on our experimental results with the NSL KDD dataset, the proposed framework can achieve on-line updated incremental learning, making it suitable for efficient and scalable industrial applications.
AB - Attack vectors are continuously evolving in order to evade Intrusion Detection systems. Internet of Things (IoT) environments, while beneficial for the IT ecosystem, suffer from inherent hardware limitations, which restrict their ability to implement comprehensive security measures and increase their exposure to vulnerability attacks. This paper proposes a novel Network Intrusion Prevention System that utilises a Self-Organizing Incremental Neural Network along with a Support Vector Machine. Due to its structure, the proposed system provides a security solution that does not rely on signatures or rules and is capable to mitigate known and unknown attacks in real-time with high accuracy. Based on our experimental results with the NSL KDD dataset, the proposed framework can achieve on-line updated incremental learning, making it suitable for efficient and scalable industrial applications.
KW - Distributed Denial of Service
KW - Intrusion Detection
KW - Machine Learning
KW - Online Incremental Learning
KW - Self-Organizing Incremental Neural Network
KW - Support Vector Machine
UR - http://www.scopus.com/inward/record.url?scp=85070374469&partnerID=8YFLogxK
UR - http://www.ntms-conf.org/ntms2019/authors/dates
UR - https://pearl.plymouth.ac.uk/
U2 - 10.1109/NTMS.2019.8763842
DO - 10.1109/NTMS.2019.8763842
M3 - Conference contribution
SN - 978-1-7281-1543-6
T3 - 2019 10th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2019 - Proceedings and Workshop
BT - 2019 10th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2019 - Proceedings and Workshop
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IFIP International Conference on New Technologies, Mobility and Security
Y2 - 24 June 2019 through 26 June 2019
ER -