INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Network security refers to the exercise of prevention of the unauthorized access of computer networks or their related devices and it comes under cybersecurity. In simpler terms protecting devices and network servers physically from external threats, along with that takinginitiative for network security. In a time of increasingly complicated cyberattacks, network security becomeshighly important. Two major solutions to accomplish network security are intrusion detection systems (IDS) and encryption. Intrusion Detection System (IDS) meansa system that would monitornetwork traffic for doubtful activity and grants alerts once the activity is found.Machine learning (ML) and deep learning (DL) models can be applied to design effective IDS models. On the other hand, encryption schemes can be developed to secure network data. Recently, numerous research works have been developed for attaining network security. This paper performs a study of various artificial intelligence (AI) techniques for IDS and encryption in network security. A detailed overview of various concepts involved in network security is elaborated. In addition, different IDS and encryption techniques can be derived to improve network efficiency. At last, a detailed experimental analysis is performed to demonstrate the performance of different models interms of different measures.
"Performance Evaluation of Artificial Intelligence Enabled Intrusion Detection System with Encryption Scheme for Network Security", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 9, page no.368 - 374, September-2022, Available :http://www.ijsdr.org/papers/IJSDR2209060.pdf
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Publication Details:
Published Paper ID: IJSDR2209060
Registration ID:201638
Published In: Volume 7 Issue 9, September-2022
DOI (Digital Object Identifier):
Page No: 368 - 374
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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