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SCSLnO-SqueezeNet: Sine Cosine-Sea Lion Optimization enabled SqueezeNet for intrusion detection in IoT

  • Published:2023-10-02 Issue:4 Volume:34 Page:343-373
  • ISSN:0954-898X
  • Container-title:Network: Computation in Neural Systems
  • language:en
  • Short-container-title:Network: Computation in Neural Systems

Author:

Masthan M.1,Pazhanikumar K.2,Chavan Meena3,Mandala Jyothi4,Prasad Kumar Sanjay Nakharu5

Affiliation:

1. Technical Project Manager, Arffy Technologies, Karnataka, India

2. Dept of Computer Science, S.T.Hindu College, Nagercoil, India

3. Department of Electronics& Communication, Bharati Vidyapeeth(Deemed to be University) College of Engineering, Pune, India

4. Department of Computer Science and Engineering, Christ (Deemed to be) University, Bangalore, India

5. Data Scientist, San Francisco, CA, USA

Funder

no funding

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Reference32 articles.

1. Adil M Madani R Tavakkol S Davoudi A. 2022. A first-order numerical algorithm without matrix operations. arXiv preprintarXiv:2203.05027.

2. Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

3. Real time dataset generation framework for intrusion detection systems in IoT

4. Multiconstrained and multipath QoS aware routing protocol for MANETs

5. Machine learning techniques optimized by practical swarm optimization for intrusions detection in IoT;Belaissaoui M;J Inf Assur Secur,2021

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