The Power of Data: Machine Learning in Cyber Attack Classification

Registration ID: IJNRD_219551

Published ID: IJNRD2404898

DOI: Click Here to Get

Bandi Harshavardhan Reddy , Tadapaneni Snehitha , Gopa Laasya Lalitha Priya , Mohana Sundari L

Supervised Machine Learning, Cyber attacks, Feature extraction, Training process, Comparison study, accuracy

Classifying cyber attacks by utilizing supervised machine learning algorithms. The model is designed to classify diverse types of Cyber- attacks by using a large dataset with various factors which collectively determine the type of attack. Rather than malware, phishing, and Distributed Denial of Service attacks, we are detecting attacks like Brute Force attack, HTTP-DoS attack, ICMP flood attack, Port Scan, Web Crawling and if it is normal. Feature extraction techniques are applied to both network traffic data and behavioral attributes, facilitating the training of a robust classification model. We have used various supervised machine learning algorithms like Gaussian Naive Bayes Classifier, Passive Aggressive Classifier, Decision Tree, Random Forest, Logistic Regression and Gradient Boosting Classifier. The training process involves labeling historical attack instances, enabling the model to discern intricate patterns and subtle differentiators among attack types. The accuracy tells us how precisely the model is predicting the attack which is trained. We have made a comparison study which compares all the top most machine learning algorithms used for classification to know which algorithm is giving more accurate output and displayed in the report.Through this research, our thesis represents the proactive identification and mitigation of cyber-attacks, ultimately fortifying digital security frameworks.

Published Paper   E-Certificate

Bandi Harshavardhan Reddy, Tadapaneni Snehitha , Gopa Laasya Lalitha Priya, & Mohana Sundari L (April-2024). The Power of Data: Machine Learning in Cyber Attack Classification. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i890-i908. https://ijnrd.org/papers/IJNRD2404898.pdf

Volume 9 Issue 4, April-2024

Pages : i890-i908

Paper Reg. ID: IJNRD_219551

Published Paper Id: IJNRD2404898

Downloads: 000121980

Research Area: Computer Science & Technology 

Country: Tirupati, Andhra pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404898.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404898

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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