Toward a Network Intrusion Detection System for Geographic Data
Title | Toward a Network Intrusion Detection System for Geographic Data |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Ouiazzane, S., Addou, M., Barramou, F. |
Conference Name | 2020 IEEE International conference of Moroccan Geomatics (Morgeo) |
Date Published | May 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-5806-8 |
Keywords | anomaly detection, autonomous agents, autonomy, Big Data, Big networks, DIDS, distributed file system, distributed intrusion detection system, distributed processing, Distribution, expert systems, geographic data security, geographic information systems, Geographical System, GIS., Human Behavior, IDS, Intrusion detection, knowledge based systems, knowledge bases, known computer attack detection, MAS, Multi Agent System, multi-agent systems, multiagent paradigm, multiagent systems, network intrusion detection system, pubcrawl, resilience, Resiliency, Scalability, security, security of data, time detection, unknown computer attack detection |
Abstract | The objective of this paper is to propose a model of a distributed intrusion detection system based on the multi-agent paradigm and the distributed file system (HDFS). Multi-agent systems (MAS) are very suitable to intrusion detection systems as they can address the issue of geographic data security in terms of autonomy, distribution and performance. The proposed system is based on a set of autonomous agents that cooperate and collaborate with each other to effectively detect intrusions and suspicious activities that may impact geographic information systems. Our system allows the detection of known and unknown computer attacks without any human intervention (Security Experts) unlike traditional intrusion detection systems that rely on knowledge bases as a mechanism to detect known attacks. The proposed model allows a real time detection of known and unknown attacks within large networks hosting geographic data. |
URL | https://ieeexplore.ieee.org/document/9121878 |
DOI | 10.1109/Morgeo49228.2020.9121878 |
Citation Key | ouiazzane_toward_2020 |
- network intrusion detection system
- knowledge based systems
- knowledge bases
- known computer attack detection
- MAS
- Multi Agent System
- multi-agent systems
- multiagent paradigm
- multiagent systems
- Intrusion Detection
- pubcrawl
- resilience
- Resiliency
- Scalability
- security
- security of data
- time detection
- unknown computer attack detection
- distribution
- autonomous agents
- autonomy
- Big Data
- Big networks
- DIDS
- distributed file system
- distributed intrusion detection system
- distributed processing
- Anomaly Detection
- expert systems
- geographic data security
- geographic information systems
- Geographical System
- GIS.
- Human behavior
- IDS