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

Masthan, M; Pazhanikumar, K; Chavan, Meena; Mandala, Jyothi; Prasad Kumar, Sanjay Nakharu

Masthan, M; Pazhanikumar, K; Chavan, Meena; Mandala, Jyothi; Prasad Kumar, Sanjay Nakharu.

Afiliación

Masthan M; Technical Project Manager, Arffy Technologies, Karnataka, India.
Pazhanikumar K; Dept of Computer Science, S.T.Hindu College, Nagercoil, India.
Chavan M; Department of Electronics& Communication, Bharati Vidyapeeth(Deemed to be University) College of Engineering, Pune, India.
Mandala J; Department of Computer Science and Engineering, Christ (Deemed to be) University, Bangalore, India.
Prasad Kumar SN; Data Scientist, San Francisco, CA, USA.

Network ; 34(4): 343-373, 2023.

Article en En | MEDLINE | ID: mdl-37807939

Asunto(s)

Internet de las Cosas; Leones Marinos; Animales; Algoritmos; Privacidad

Palabras clave

Internet of Things (IoT); Sea Lion Optimization (SLnO); Sine Cosine algorithm (SCA); SqueezeNet; intrusion detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leones Marinos / Internet de las Cosas Tipo de estudio: Diagnostic_studies Límite: Animals Idioma: En Revista: Network Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

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