Dr Kotoju Rajitha

vidwan id: 408927

Female

Assistant Professor, Department of Computer Science and Engineering
Mahatma Gandhi Institute of Technology

0000-0002-7200-3759 Google Scholar Icon

57192395071 Researcher Icon

JAC-2966-2023 Google Scholar Icon

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Expertise

Computer Science Artificial Intelligence

Publications

Total Articles 8

Books 0

Proceedings 0

Publications

Scopus

Citations 10

h-index 3

CrossRef

Citations 0

h-index 0

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Professional Recognition

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Community & Membership

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ISTE

2005

Life Member

Bio

Artificial intelligence

Personal Details

Female
Assistant Professor , Mahatma Gandhi Institute of Technology
Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology

Ph.D

Other Institute 2022

Assistant Professor Mar 2007 – Present

Mahatma Gandhi Institute of Technology | Department of Computer Science and Engineering

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Organisations (199+)

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Mr Govinda Reddy Bhimavarapu

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Co-Authors (1)

Dr Vijaya Lakshmi Doddapaneni

Mahatma Gandhi Institute of Technology

Scholarly Work

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Scholarly Publications

Study of Comparison on Efficient Malicious URL Detection System Using Data Mining Algorithms

Open Access

Book Chapter

Year: 2021. Volume: 63 , Pages: 523-534 .

Authors: Rajitha Kotoju ., D. Vijaya Lakshmi .,

10.1007/978-981-16-0081-4_53

Suspicious URLs filtering using optimal RT-PFL: A novel feature selection based web URL detection

Open Access

Conference Paper

Year: 2018. Volume: 78 , Pages: 227-235 .

Authors: Kotoju Rajitha ., Doddapaneni Vijayalakshmi .,

10.1007/978-981-10-5547-8_24

An efficient intrusion detection system for identification from suspicious URLs using data mining algorithms

Open Access

Article

International Journal of Business Intelligence and Data Mining. Year: 2017. Volume: 12 , Issue: 2 , Pages: 133-158 .

Authors: Kotoju Rajitha ., Doddapaneni VijayaLakshmi .,

10.1504/IJBIDM.2017.084284

Comprehensive Study And Analysis Of Malicious Website Detection Techniques

Open Access

article

Year: 2016.

Authors: Dr. K.Rajitha

Oppositional Cuckoo Search Based Weighted Fuzzy Rule System In Malicious Web Sites Detection From Suspicious Urls”, International Journal of Intelligent Engineering and Systems

Open Access

article

Year: 2016.

Authors: Dr. K.Rajitha

Oppositional Cuckoo Search Based Weighted Fuzzy Rule System in Malicious Web Sites Detection from Suspicious URLs

Open Access

Article

International Journal of Intelligent Engineering and Systems. Year: 2016. Volume: 9 , Issue: 4 , Pages: 116-125 .

Authors: Kotoju Rajitha ., Doddapaneni VijayaLakshmi .,

10.22266/ijies2016.1231.13

OMUI-HML: An optimal malicious URL detection and classification using hybrid machine learning technique

Open Access

Year: 0000. Issue: 5692-5704 .

Authors: Rajitha, Kotoju; Vijayalakshmi, Doddapaneni;

Constructing networked, intelligent and adaptable buildings using edge computing

Open Access

Year: 0000.

Authors: Rudraraju, Neha; Rajitha, Kotoju; Shirisha, K;