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

Dr. Ekta Gandotra

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
Author Publication Profile:
Book(s) :
Book Chapter(s) :
  • Kshamta Chauhan, Ekta Gandotra (2022). Comparative Analysis of Machine Learning Methods for Classification of IoT Malware Attacks.. In Kumar R., Ahn C.W., Sharma T.K., Verma O.P., Agarwal A. , Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems (vol 425, pp. ). Singapore: Springer. [ISBN : 978-981-19-0707-4] . Google Search
  • Meghna Dhalaria, Ekta Gandotra (2022). Risk Detection of Android Applications Using Static Permissions.. In Verma, P., Charan, C., Fernando, X., Ganesan, S. , 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 Khalid Raza, Nilanjan Dey, Advances in ubiquitous sensing applications for healthcare, Translational Bioinformatics in Healthcare and Medicine, Academic Press, (pp. 183-192). : Elsevier. [ISBN : 9780323898249] . Google Search
  • Ekta Gandotra, Deepak Gupta (2021). An Efficient Approach for Phishing Detection using Machine Learning. In Kaiser J. GiriShabir Ahmad ParahRumaan BashirKhan Muhammad, 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 Singh M., Gupta P., Tyagi V., Flusser J., Oren T., Kashyap R.,, Advances in Computing and Data Sciences (volume 1046, pp. 370-380). Singapore: Springer . [ISBN : 978-981-13-9939-8] . Google Search
Journal(s) :
Conference(s) :