Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Ekta Gandotra
Assistant Professor (SG)
( 91) 01792-239248
ekta.gandotra@juit.ac.in, ekta.gandotra@gmail.com
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Biography :

Ekta Gandotra is currently working as Assistant Professor (SG) in the Department of Computer Science & Engineering at Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh. She has around 10 years of teaching and research experience. She has completed her Ph.D. in Computer Science & Engineering from PEC University of Technology, Chandigarh. She obtained her M.Tech. in Computer Science & Engineering from Kurukshetra University, Kurukshetra, Haryana. She has been a rank holder throughout her studies.

Research Interests

Network & Cyber Security
Malware Threat Profiling
Cyber Threat Intelligence
Machine Learning
Big Data Analytics

Open Project Titles:

1. Risk Analysis of Android Applications

2. Phishing Detection

3. Malware Detection and Classification

4. Credit Card Fraud Detection

Author Publication Profile:

Publication(s): Click Here to Add New Publication(s)
2022 (4)	2021 (8)	2020 (2)	2019 (5)	All

Book(s) :

Pradeep Kumar Gupta, Ekta Gandotra, Vipin Tyagi, Vivek Kumar Sehgal (2021).International Conference on Image Information Processing (ICIIP).(6th) JUIT Solan : IEEE USA. [ISBN : 978-1-6654-3361-7] []. Google Search
Pradeep Kumar Gupta, Ekta Gandotra, Vipin Tyagi, Satya Prakash Ghrera, Vivek Kumar Sehgal (2019).Proceedings of 2019 Fifth International Conference on Image Information Processing (ICIIP 2019). USA : IEEExplore digital Library. [ISBN : 978-1-7281-0898-8] []. Google Search

Book Chapter(s) :

Kshamta Chauhan, Ekta Gandotra (2022). Comparative Analysis of Machine Learning Methods for Classification of IoT Malware Attacks. In Soft Computing: Theories and Applications Proceedings of SoCTA 2021 pp. 157-167 Singapore: Springer . [ISBN : 978-981-19-0707-4] []. Google Search
Meghna Dhalaria, Ekta Gandotra (2022). Risk Detection of Android Applications Using Static Permissions.. In Advances in Data Computing, Communication and Security. (LNDECT,volume 106) pp. 591-600- Singapore: Springer. [ISBN : 978-981-16-8403-6] []. Google Search
Nadia Ahmad, Piyus Mohanty, Narendra Kumar, Ekta Gandotra (2021). Translational Bioinformatics in Healthcare and Medicine. In Advances in ubiquitous sensing applications for healthcare, Translational Bioinformatics in Healthcare and Medicine, Academic Press, pp. 183-192- : Elsevier. [ISBN : 9780323898249] [SCOPUS ]. Google Search
Ekta Gandotra, Deepak Gupta (2021). An Efficient Approach for Phishing Detection using Machine Learning. In Multimedia Security: Algorithm Development, Analysis and Applications pp. 239-253- : Springer, Singapore. [ISBN : 978-981-15-8711-5] []. Google Search
Meghna Dhalaria, Ekta Gandotra, Suman Saha (2019). Comparative Analysis of Ensemble Methods for Classification of Android Malilcious Applications. In Advances in Computing and Data Sciences volume 1046, pp. 370-380- Singapore: Springer . [ISBN : 978-981-13-9939-8] []. Google Search

Journal(s) :

Anubha Bhaik, Vaishnavi Singh, Ekta Gandotra, Deepak Gupta (2021). Detection of Improperly Worn Face Masks using Deep Learning A Preventive Measure Against the Spread of COVID-19. International Journal of Interactive Multimedia and Artificial Intelligence, Online (), pp. 1-12, DOI: 10.9781/ijimai.2021.09.003 [SCOPUS ]. Google Citation
Meghna Dhalaria, Ekta Gandotra (2021). CSForest: an approach for imbalanced family classification of android malicious applications. International Journal of Information Technology (Singapore), 13 (April 2021), pp. 1059-, DOI: https://doi.org/10.1007/s41870-021-00661-7 [SCOPUS ]. Google Citation
Meghna Dhalaria, Ekta Gandotra (2021). A Hybrid Approach for Android Malware Detection and Family Classification. International Journal of Interactive Multimedia and Artificial Intelligence, 6 (6), pp. 174-, DOI: 10.9781/ijimai.2020.09.001 [SCOPUS ]. Google Citation
Meghna Dhalaria, Ekta Gandotra (2021). Android Malware Detection Techniques: A Literature Review. Recent Patents on Engineering, 15 (2), pp. 225-, DOI: 10.2174/1872212114999200710143847 [SCOPUS ]. Google Citation
Ekta Gandotra, Deepak Gupta (2021). Improving Spoofed Website Detection Using Machine Learning. Cybernetics and Systems, 52 (2), pp. 169-, DOI: 10.1080/01969722.2020.1826659 [SCOPUS ]. Google Citation
Meghna Dhalaria, Ekta Gandotra (2019). Convolutional Neural Network for Classification of Android Applications Represented as Grayscale Images. International Journal of Innovative Technology and Exploring Engineering, 8 (12S), pp. 835-, DOI: [SCOPUS ]. Google Citation
Arushi Sharma, Ekta Gandotra, Divya Bansal, Deepak Gupta (2019). Malware Capability Assessment using Fuzzy Logic. Cybernetics and Systems, 50 (4), pp. 323-, DOI: https://doi.org/10.1080/01969722.2018.1552906 [SCOPUS ]. Google Citation

Conference(s) :

Meghna Dhalaria, Ekta Gandotra (2022). Detecting Android Malicious Applications using Dynamic Malware Analysis and Machine Learning. Proceedings of the Fourteenth International Conference on Contemporary Computing [14th : Noida India : ], pp.362-366.. Google Citation
Divya Sharma, Kritika Shelly, Ekta Gandotra, Deepak Gupta (2022). Diagnosis of Covid-19 using Deep Learning. Proceedings of the International Conference on Contemporary Computing [14th : Noida, U.P. : 4-6 August, 2022], pp.388-395.. Google Citation
Meghna Dhalaria, Ekta Gandotra (2020). A Framework for Detection of Android Malware using Static Features. Proceedings of the IEEE 17th India Council International Conference (INDICON) [17th : Netaji Subhas University of Technology New Delhi, India : 10-13 Dec. 2020], pp.1-. [SCOPUS]. Google Citation
Meghna Dhalaria, Ekta Gandotra (2020). Android Malware Detection using Chi-Square Feature Selection and Ensemble Learning Method. Proceedings of the International Conference on Parallel, Distributed and Grid Computing (PDGC) [6th : Waknaghat, Solan, India : 6-8 Nov. 2020], pp.36-.. Google Citation
Aditya Kapoor, Himanshu Kushwaha, Ekta Gandotra (2019). Permission based Android Malicious Application Detection using Machine Learning. Proceedings of the 2019 International Conference on Signal Processing and Communication (ICSC) [Noida, India : 7-9 March, 2019], pp.103-. [SCOPUS]. Google Citation

Computer Science & Engineering and Information Technology (CSE&IT)

FACULTY NAMES