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Report

A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks

Autor: Singh, Abhilash, Amutha, J., Nagar, Jaiprakash, Sharma, Sandeep

Publikováno v: Expert Systems with Applications, Available online 19 August 2022, 118588

Wireless Sensor Networks (WSNs) is a promising technology with enormous applications in almost every walk of life. One of the crucial applications of WSNs is intrusion detection and surveillance at the border areas and in the defense establishments.

Externí odkaz: http://arxiv.org/abs/2208.11887

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Akademický článek

[formula omitted]CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the [formula omitted]barriers for intrusion detection

Autor: Singh, Abhilash, Nagar, Jaiprakash, Amutha, J., Sharma, Sandeep

Publikováno v: In Engineering Applications of Artificial Intelligence November 2023 126 Part D

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Akademický článek

A deep learning approach to predict the number of [formula omitted]-barriers for intrusion detection over a circular region using wireless sensor networks

Autor: Singh, Abhilash, Amutha, J., Nagar, Jaiprakash, Sharma, Sandeep

Publikováno v: In Expert Systems With Applications January 2023 211

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Akademický článek

An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks

Autor: Amutha, J., Sharma, Sandeep, Sharma, Sanjay Kumar

Publikováno v: In Expert Systems With Applications 1 October 2022 203

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Akademický článek

Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy, research findings, challenges and future directions

Autor: Amutha, J., Sharma, Sandeep, Sharma, Sanjay Kumar

Publikováno v: In Computer Science Review May 2021 40

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Conference

Reliability of clustering algorithm in wireless sensor networks using supervised machine learning classification approaches.

Autor: Amutha, J., Sharma, Sandeep, Sharma, Sanjay Kumar

Publikováno v: AIP Conference Proceedings; 2024, Vol. 2853 Issue 1, p1-13, 13p

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Akademický článek

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Akademický článek

AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network.

Autor: Singh, Abhilash¹ (AUTHOR), Amutha, J.² (AUTHOR), Nagar, Jaiprakash³ (AUTHOR), Sharma, Sandeep⁴ (AUTHOR) sandeepsvce@gmail.com, Lee, Cheng-Chi^5,6 (AUTHOR) cclee@mail.fju.edu.tw

Publikováno v: Scientific Reports. 5/31/2022, Vol. 12 Issue 1, p1-14. 14p.

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The Shepherds of the Sangam Age - Ethnographic View

Autor: Amutha J

Publikováno v: International Research Journal of Tamil. 4:94-100

Humans lived in mountains and caves in the early days of human history. Later, due to the increase in population, they went to the forest edifice of Mullai land. They domesticated and reared animals like buffalo, cows, and goats for the needs of thei

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c7754326f2e0ecd78172a5b2cbdd8d1
https://doi.org/10.34256/irjt224s1716

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LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network

Autor: Jaiprakash Nagar, Cheng-Chi Lee, Abhilash Singh, Amutha J, Dr Sandeep Sharma

Publikováno v: Sensors, Vol 22, Iss 1070, p 1070 (2022)
Sensors; Volume 22; Issue 3; Pages: 1070

The dramatic increase in the computational facilities integrated with the explainable machine learning algorithms allows us to do fast intrusion detection and prevention at border areas using Wireless Sensor Networks (WSNs). This study proposed a nov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1836db2046d9beb8c4401c06472f63b9
https://www.mdpi.com/1424-8220/22/3/1070

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