Cyber Attack Detection Model (CADM) Using Machine Learning

Cyber Attack Detection Model (CADM) Using Machine Learning

Registration ID: IJNRD_209256

Published ID: IJNRD2311223

DOI: Click Here to Get

Ganesh Mankar , Rakesh Oza , Saurabh Sapkal , Ayush Tilekar , Rakhi Punwatkar

In this survey study, the Cyber Attack Detection Model (CADM) is specifically highlighted as it examines the field of machine learning applications in Cyber Attack detection. In a time where technology is king, strong defenses are required due to the growing threat of Cyber Attacks. The study examines the literature on Cyber Attack detection, highlighting the development of machine learning approaches and the function of intrusion detection systems (IDS). As an extensive case study, the CADM project demonstrates the complexities of its design, feature selection, preprocessing, data gathering, and ensemble integration techniques. Metrics for performance assessment, including as recall, accuracy, precision, and AUROC, are examined along with comparisons to alternative systems. The report sheds light on the difficulties in detecting Cyber Attacks and suggests future paths for the field's advancement. In the end, the CADM project proves to be a noteworthy addition to the improvement of Cybersecurity by means of inventive machine learning techniques.

Published Paper   E-Certificate

"Cyber Attack Detection Model (CADM) Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.c171-c173, November-2023, Available :https://ijnrd.org/papers/IJNRD2311223.pdf

Volume 8 Issue 11, November-2023

Pages : c171-c173

Paper Reg. ID: IJNRD_209256

Published Paper Id: IJNRD2311223

Downloads: 000121150

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311223.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311223

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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?

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