Paper Title
An Intelligent Intrusion Detection System for Smart Consumer Electronics Network
Article Identifiers
Authors
Racha Niharika , Thupakula Vijaya Lakshmi , Singoji Shiva Priya , M Sonia
Keywords
Consumer Electronics, Cyber-Attacks, Deep learning, Internet of Things, Intrusion Detection System, Software-Defined Networking
Abstract
The evolution of traditional Consumer Electronics (CE) into advanced, connected devices through the Internet of Things (IoT) has revolutionized the landscape, enhancing both connectivity and intelligence. This interconnectedness among sensors, actuators, and appliances within the CE network has not only amplified data availability but also facilitated automated control.However, this proliferation of connected devices has led to a significant surge in data traffic, owing to the diversity and decentralization of CE devices. Additionally, conventional network infrastructure- based techniques for managing CE devices require manual setup and administration, posing challenges in scalability and efficiency.To overcome these obstacles, we propose an innovative approach that merges Software-Defined Networking (SDN) architecture with Deep Learning (DL) to develop an intelligent Intrusion Detection System (IDS) tailored for smart CE networks. By segregating the control and data planes, our approach effectively addresses the distributed nature of smart CE networks.Our IDS leverages Cuda-enabled Bidirectional Long Short-Term Memory (Cu-BLSTM) to detect various attack types within the smart CE network. Through simulations conducted on the CICIDS-2018 dataset. The effectiveness of our proposed approach is confirmed, demonstrating that it is superior to existing security solutions. This shows that its potential to be a groundbreaking solution for the next generation of Smart Consumer Electronics networks is validated.
Downloads
How To Cite
"An Intelligent Intrusion Detection System for Smart Consumer Electronics Network", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.b738-b743, May-2024, Available :https://ijnrd.org/papers/IJNRD2405192.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : b738-b743
Other Publication Details
Paper Reg. ID: IJNRD_220821
Published Paper Id: IJNRD2405192
Downloads: 000121131
Research Area: Computer Science & TechnologyÂ
Country: Medchal, Hyderabad , Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405192.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405192
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.
Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: August 2025
Current Issue: Volume 10 | Issue 8
Last Date for Paper Submission: Till 31-Aug-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.
Subject Category: Research Area