Detection And Prevention of Malicious Activities In Vulnerable Network Security Using Deep Learning-Reference-Cited by-同舟云学术

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Detection And Prevention of Malicious Activities In Vulnerable Network Security Using Deep Learning

Published:2024-06-07 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2024 International Conference on Innovations and Challenges in Emerging Technologies (ICICET)
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Author:

Wadibhasme Rashmi Nilesh¹,Chaudhari Arpit U.²,Khobragade Prashant³,Mehta Hina D.⁴,Agrawal Rahul⁵,Dhule Chetan⁵

Affiliation:

1. Yeshwantrao Chavan College of Engineering,Departemnt of Information Technology,Nagpur,India

2. Prof. Ram Meghe Institute of Research Badnera,Department of Computer Science and Engineering,Amravati,India

3. G H Raisoni College of Engineering,Department of Computer Science and Engineering,Nagpur,India

4. Nagpur College of Pharmacy,Nagpur,India

5. G H Raisoni College of Engineering,Department of Data Science, IoT & Cyber Security (DIC),Nagpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616170/10616264/10616289.pdf?arnumber=10616289

Reference17 articles.

1. Deep Learning Approach for Detecting Malicious Activities Over Encrypted Secure Channels

2. Intrusion detection system: A comprehensive review

3. DL‐IDS: a deep learning–based intrusion detection framework for securing IoT

4. A survey on cloud security threats using Deep learning algorithms

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