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Dr. N. Praveena

Qualification : Ph.D.

Course Specialization Group College Name/University Year of Passing
Ph.D. Computer Science and Engineering Computer Science and Engineering Pondicherry University 2022
M.Tech. Information Security Information Security Pondicherry University 2013
B.Tech. Computer Science and Engineering Computer Science and Engineering Pondicherry University 2011

Note : Students are advised to meet me in Room No : WB - 214 at any time other than my class hours mentioned in the below timetable for any discussions related to the subjects & research.

My Schedule for 2022-23

                                     

My Publications

S.No Title of the Paper Full Details of Journal Name / Conference Name, Volume number, page number, Date
1 "Hybrid convolutional neural network (CNN) and long-short term memory (LSTM) based deep learning model for detecting shilling attack in the social-aware network." Journal of Ambient Intelligence and Humanized Computing (2020): 1-14. (SCIE)
2 “CNN-BiLSTM-AM based detection of shilling attacks on social-aware recommendation"Journal of King Saud University-Computer and Information Sciences (SCIE), [Comments with Minor Revision]
3 “Securing RSA Algorithm against Timing Attack” The Arab Journal of Information Technology”, ISSN: 2309-4524, 2016. (SCIE)
4 “An efficient Method for improving quality of service using TCP/IP Incast Congestion Model” International Journal of Advance Research in Computer Science and Management Studies, ISSN: 2321-7782, Vol 3, Issue 6, June 2015.
5A Study on Shilling Attack Identification in SAN using Collaborative Filtering Method based Recommender Systems”2021 International Conference on Computer Communication and Informatics (ICCCI), Jan 27-29,2021, ISSN: 2329-7190, IEEE
6“A Review on Deep Neural Network Design and Their Applications” 2021 7th International Conference on Advanced Computing & Communication Systems (ICACCS - 2021), March 19-20, 2021 IEEE.
7“A Survey on Detection Approaches of Shilling Attacks in SAN” 5th International Conference on Computing Methodologies and Communication (ICCMC 2021), ISBN: 978-0-7381-1203-9 IEEE.
8“ A Machine Learning Model for Automated Classification of Sleep Stages using Polysomnography Signals.” In 2021 International Conference on Innovative Computing and Communication (ICICC), 2021. SPRINGER.
9"Convolutional neural network for classification of multiple sleep stages from dual-channel EEG signals." In 2020 IEEE 4th Conference on Information & Communication Technology (CICT), pp. 1-16. 2020, IEEE.
10"Automated Sleep Staging Analysis using Sleep EEG signal: A Machine Learning based Model." 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 2021, IEEE.
11“Survey on Side Channel Attack” Awarded as the best paper at NCORRN-13 organized by Dept. of CSE, PEC.
12“Automatic Intrusion Response with Prediction System using Ontology” NCOFT’13 organized by Dept. of IT, MEC.