Specialization

Cyber security, network security, Intrusion detection

Email

amrita.dahiya@thapar.edu

Mobile:      +91 8571881269

Academic Qualifications

Ph.D. in Computer Engineering (Awarded in 2022)
National Institute of Technology Kurukshetra, India
Research Area: DDoS Attacks 
Supervisor:        Dr. B.B. Gupta

M.Tech. in Computer Science and Technology (May 2015)
Banasthali Vidyapeeth, Newai, Rajasthan, India
Result (%age): 74.26, 1st Division

B Tech. in Computer Science and Technology (June 2008)
BRCM College of Engineering and Technology, Bhiwani, India
Result (%age): 72.2, 1st Division

Research experience
•    One-year research experience in JNU Delhi on the topic “Security Issues and  Location Security in VANET.” As M.tech dissertation.
•    Selected as a JRF in DST funded project in NIT Kurukshetra. 

Publications

1.    Amrita Dahiya and B.B. Gupta, “A Comprehensive Analysis on Blockchain and its Applications in Intelligent Systems based on IoT, Cloud and Social Media”, International Journal of Intelligent Systems, Wiley (Accepted) (SCI indexed) (IF=8.993).
2.    Amrita Dahiya and B.B. Gupta, “A Reputation Score Policy and Bayesian Game Theory Based Incentivized Mechanism for DDoS Attacks Mitigation and Cyber Defense.”, Future Generation Computer Systems, Elsevier, volume 117, pp 193-204, DOI: https://doi.org/10.1016/j.future.2020.11.027, (SCI indexed) (IF=7.307).
3.    Amrita Dahiya and B.B. Gupta, “Multi attribute Auction Based Incentivized Solution Against DDoS Attacks.”, Journal of Computers and Security (COSE), Elsevier, volume 92, DOI: https://doi.org/10.1016/j.cose.2020.101763. (SCI indexed) (IF=5.105).
4.    Amrita Dahiya and B.B. Gupta, “A PBNM and Economic Incentive Based Defensive Mechanism Against DDoS Attacks.”, International Journal of Enterprise Information Systems (EIS), Taylor and Francis, pp. 1-21, DOI: 10.1080/17517575.2019.1700553, (SCIE indexed) (IF=4.407).
5.    Amrita Dahiya and B.B. Gupta, “A QoS Ensuring Two-layered Multi-Attribute Auction Mechanism to Mitigate DDoS Attacks.”, Mobile Networks and Applications, Springer, pp. 1-16, DOI: https://doi.org/10.1007/s11036-020-01665-6 (SCI indexed) (IF=3.426).
6.    Amrita Dahiya and B.B. Gupta, “An Auction Based Incentivized Scheme for DDoS Attacks.”, Journal of Information Technology Research (JITR), volume 14(1), pp. 1- 19, IGI Global, (Scopus indexed).
7.    Amrita Dahiya and B.B. Gupta, “An Economic-incentive Based Risk Transfer Approach for Defending Against DDoS Attacks.”, International Journal of E-Services and Mobile Applications (IJESMA), volume 12(3), pp. 60-84, IGI Global, (Scopus indexed).

International Conferences

1.  Amrita Dahiya, B.B. Gupta, Shingo Yamaguchi, Kostas Psannis, “Mitigating Botnet Based DDoS Attacks by Selecting Incentivized Cooperating ISPs for Risk Transfer.”, in the proceedings of 39th IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA. (Nominated for best paper award).
2. Dahiya, A., & Gupta, B. B. (2019, October). PBNM and Economic Incentive Based Framework for Protection Against DDoS Attacks. In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) (pp. 1-5). IEEE.
3. Adat, V., Dahiya, A., & Gupta, B. B., “Economic Incentive Based Solution Against Distributed Denial of Service Attacks for IoT Customers.” In the proceedings of 36th IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA (pp. 1-5), 2018.
4. Dahiya, A., & Gupta, B. B. (2020). DDoS Attacks Detection and Mitigation Using Economic Incentive-Based Solution. In First International Conference on Sustainable Technologies for Computational Intelligence (pp. 729-738). Springer, Jaipur.

Book and book chapters: 

1. B.B. Gupta and Amrita Dahiya, 2021 “DDoS attacks: Classification, Attacks, Challenges and Countermeasures.”, Taylor and Francis, CRC press.
2. B.B. Gupta, Amrita Dahiya, Elhadj Benkhelifa, “A text book on SDN and NFV: A new dimension to virtualization.”, World Scientific Publishers. (Currently Writing).
3. Amrita Dahiya & B. B. Gupta, “Importance of Providing Incentives and Economic Solutions in IT Security”. In the book of Machine Learning for Computer and Cyber Security: Principle, Algorithms, and Practices (MLCCS), pp. 320-336, 2018.
4. Gupta, B. B., Dahiya, A., Upneja, C., Garg, A., & Choudhary, R. (2020). A Comprehensive Survey on DDoS   Attacks   and   Recent   Defense   Mechanisms. In Handbook of Research on Intrusion Detection Systems (pp. 186-218). IGI Global.

Teaching Experience
•    One year teaching experience in Punjab Engineering College, Chandigarh from 27th August 2021 to 31st July 2022.
 

Subjects taught
•    Introduction to information security
•    Research methodology
•    Digital and mobile forensics