A new method for the Detection of Anomalies in Streaming Data Malicious URL Segmentation and Classification using Machine Learning Techniques-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A new method for the Detection of Anomalies in Streaming Data Malicious URL Segmentation and Classification using Machine Learning Techniques

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
Short-container-title:

Author:

Mantravadi Ananya¹,Indurkhya Kushagra¹,Buchi Sai Mourya²,Ganda Sai Yaaminie¹,Kumar Reddy Sai Kiran³,Kaveeshwar Anuraag Raghuramchandra⁴

Affiliation:

1. IIIT,Department of Computer Science and Engineering,Raichur,Karnataka,India

2. IIT, Hyderabad,Department of MCES,Hyderabad,India

3. TKR college of engineering and technology,Department of Computer Science and Engineering,Nerul,India

4. Pune Institute of Computer Technology,Department of Information Technology,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10010702/10010572/10011007.pdf?arnumber=10011007

Reference22 articles.

1. The Detection Method for Two-Dimensional Barcode Malicious URLs Based on the Hash Function

2. A Bi-Directional LSTM Model with Attention for Malicious URL Detection

3. Countering Malicious URLs in Internet of Things Using a Knowledge-Based Approach and a Simulated Expert

4. A comparative performance evaluation of content based spam and malicious URL detection in E-mail

5. Survey on Malicious URL Detection Techniques

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP