Mr Jebin Bose S
Assistant Professor
| Department of Computer Science and Engineering
Noorul Islam Centre for Higher Education, Kanyakumari
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
13
Publications
0
Projects
16
Scopus Citations
7
CrossRef
5 Years 8 Months Total Experience
Scopus
16
Citations
3
h-index
CrossRef
7
Citations
1
h-index
Google Scholar
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Professional Recognition
Best Paper Presentation award on Secured Pin Entry System for Automated Teller Machine
2017
Nanjil Catholic College of Arts and Science: Marthandam, Tamil Nadu, IN
Young Achiever Award
2017
INSC : Bangalore, Karnataka, IN
World Record Holder
2014
Wikitecky and Microsoft Research Community: Chennai, Tamil Nadu, IN
Community & Membership
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IIT (ISM) Dhanbad ACM Student Chapter
MembershipInstitute of Scholars - INSC
https://www.insc.in/home/membersingle.php?memid=INSC2017764&name=Mr.%20Jebin%20Bose%20SPersonal Details
Master of Engineering
2020
GIDC-ROFEL Institute of Management Studies, Vapi (Gujarat)
Master of Business Administration
2020
N/A
Master of Science
2018
N/A
Assistant Professor
Jun 2022 – Present
Noorul Islam Centre for Higher Education, Kanyakumari
| Department of Computer Science and Engineering
Research Scholar
Jan 2021 – Jun 2022
Noorul Islam Centre for Higher Education, Kanyakumari
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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An enhanced security mechanism for secure communication in internet of things
Jebin Bose S / Noorul Islam Centre for Higher Education
Kumaracoil
-
Patent No. :
202041039286
Filed :
09-11-2023
Published :
18-03-2022
Published
METHOD TO DETECT AND FORECAST WEATHER
Jebin Bose S / Noorul Islam Centre for Higher Education
Kumaracoil
-
Patent No. :
202241009794
Filed :
23-02-2022
Published :
04-03-2022
Published
Scholarly Publications
Enabling authenticity and integrity with Information Hiding for secure communication in Internet of Things
Efficient and Secure Data Transfer in IoT
10.35940/ijrte.d8092.118419
Crossref: 1
IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine
MH-ASO Based Deep NNET Classifier Scheme for Effective Android Malware Recognition & Classification Strategy
An optimal deep learning-based framework for the detection and classification of android malware
An optimal detection of android malware using dynamic attention-based LSTM classifier
A state-of-the-art Analysis of Android Malware Detection Methods
10.1109/icoei53556.2022.9777170
Scopus: 3
Survey on Malware Prediction and Detection
Showing 1 to 8 of 13 publications