A Novel Ensemble based Model for Intrusion Detection System
- Title
- A Novel Ensemble based Model for Intrusion Detection System
- Creator
- Bhattacharya N.; Subudhi A.; Mishra S.; Sharma V.; Aderemi A.P.; Iwendi C.
- Description
- In the present interconnected world, the increasing reliance on computer networks has made them susceptible to multiple security threats and intrusions. Intrusion Detection Systems (IDS) is essential for shielding these networks by detecting and mitigating potential threats in real-time. This research paper presents an in-depth study of employing the Random Forest algorithm for building an effective intrusion detection System. The proposed IDS uses the power of the Random Forest algorithm, a popular ensemble learning technique, to detect various types of intrusions in network traffic effectively. The algorithm integrates more than one decision trees to produce a robust and accurate classifier, capable of handling large-scale and complex datasets typical of network traffic. The proposed system can be used in various industries and sectors to protect critical assets, ensuring the uninterrupted operation of computer networks. Evolving cyber threats have encouraged further research into ensemble analytics methods to increase the resilience of Intrusion Detection Systems in an ever-changing threat landscape. 2024 IEEE.
- Source
- Proceedings - International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024, pp. 620-624.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- accuracy; Intrusion Detection System; Network security; Random Forest algorithm
- Coverage
- Bhattacharya N., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Subudhi A., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sharma V., Christ (Deemed to Be University), Delhi NCR, India; Aderemi A.P., University of Bolton, School of Creative Technologies, United Kingdom; Iwendi C., Christ (Deemed to Be University), Delhi NCR, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038352-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Bhattacharya N.; Subudhi A.; Mishra S.; Sharma V.; Aderemi A.P.; Iwendi C., “A Novel Ensemble based Model for Intrusion Detection System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19460.