This post was last updated on May 24th, 2022
Abhijit Das
Designation: Assistant Professor
Area of specialization: Cyber Security, Deep Learning
Date of Joining BNMIT: 16/09/2021
Nature of Association (Regular/Contractual/Adjunct): Regular
E-mail Id: abhijitdas@bnmit.in
No. of years of Experience: 12 Years 7 months
Qualification
| Degree | Institution | Month & Year of Passing | % of marks obtained |
| PhD | Pursuing under Visvesvaraya Technological University (VTU) | Pursuing | Pursuing |
| MTech (CSE) | Jawaharlal Nehru New College of Engineering (JNNCE), Shimoga. | Dec, 2006 | 67 |
| B.E (CSE) | National Institute of Technology, Agartala. | Nov, 2003 | 67 |
Experience
| SI. No. | Designation | Institution | Duration |
| 1 | Assistant Professor | B.N.M Institute of Technology, Bengaluru-70 | Sep. 2021 – till date |
| 2 | Assistant Professor | Sai Vidya Institute of Technology, Bangalore-64 | Feb. 2021 to Sept. 2021 |
| 3 | Assistant Professor | APS College of Engineering, Bangalore-82 | Oct. 2006 to Jan. 2021 |
Awards and Achievements
- Have been Certified by IBM for guiding Projects on Mobile Banking (Project listed in Top 10 in IBM-TGMC- The Great Mind Challenge,2007).
- Won 2nd prize in TECHZONE, a State Level Technical Symposium in C programming.
- Worked as a project coordinator on VGST project Funded by Government of Karnataka (Duration of Project 2017-2019).
Expertise / list of Subjects handled
- File Structures using C++
- Advanced Java and J2EE
- Computer Networks
- Computer Networks Security
- Operating Systems
- Object Oriented Programming
- Mobile Application Development
- Data Structures and Applications
- Machine Learnings etc
Research Interest
- Computer Network Security
- Cyber Security
- Machine Learning
- Deep Learning
Funding received
- Worked as a project coordinator on VGST project Funded by Government of Karnataka (Duration of Project 2017-2019).
Journal Publications
- Abhijit Das and Pramod, “Deep Reinforcement Learning based Ensemble Model for Intrusion Detection System” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.01304100
- Abhijit Das and Pramod, “Design and Development of an Efficient Network Intrusion Detection System using Ensemble Machine Learning Techniques for Wifi Environments” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130499
- Abhijit Das and Pramod, “A Deep Transfer Learning Approach to Enhance Network Intrusion Detection Capabilities for Cyber Security” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130498
- Abhijit Das, S G Balakrishnan and Pramod, “Network Intrusion Detection System based on Generative Adversarial Network for Attack Detection” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121186
- Abhijit Das, Pramod and Sunitha B S, “Anomaly-based Network Intrusion Detection using Ensemble Machine Learning Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130275
- Abhijit Das, Pramod and Sunitha B S, “An Efficient Feature Selection Approach for Intrusion Detection System using Decision Tree” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130276
- Abhijit Das, S G Balakrishnan “A Comparative Analysis of Deep Learning Approaches in Intrusion Detection System” 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), IEEE Xplore eCF Paper Id: 328627.
- Has Presented a Paper in the 2nd International Conference on ICCTCSE-2014 on “Energy Aware Unified Routing Algorithm with Predictive Replenishment Strategy in Wireless Networks”.
- Have presented the paper on “Performance Analysis of Transport protocol In Ad-hoc Networks” in National Conference on Communication and Computing (NACC) at Acharya Institute of Technology.
- Have filed IP Australian patent with reference number: AMCZ-2110373944, Date: 18/08/2021 on “Early Detection of Denial-Of-Service (Dos) Attack and Deception Attack in Industrial Cyber-Physical Systems”.
Conferences
- Das and S. G. Balakrishnan, “A Comparative Analysis of Deep Learning Approaches in Intrusion Detection System,” 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2021, pp. 555-562, doi: 10.1109/RTEICT52294.2021.9573685.
Patents
- Early detection of Denial-of-Service (DoS) attack and Deception attack in industrial cyber physical systemsEarly detection of Denial-of-Service (DoS) attack and Deception attack in industrial cyber physical systems. Patent Number: 2021105857 · Issued Nov 3, 2021, http://pericles.ipaustralia.gov.au/ols/auspat/applicationDetails.do
- AN EFFICIENT CONTENT BASED REMOTE SENSING IMAGE RETREIVAL USING ARTIFICAL NEURAL NETWORKAN EFFICIENT CONTENT BASED REMOTE SENSING IMAGE RETREIVAL USING ARTIFICAL NEURAL NETWORK. Patent Number: 202221011722 Issued: 15/04/2022 https://ipindiaservices.gov.in/PatentSearch/PatentSearch/ViewApplicationStatus
Hobbies
- Cooking
- Roaming
Sports
- Badminton
- Football
- Cricket
Music
- Hindi Classical
