- Next-generation Internet Architectures
- Next-gen DoS/DDoS attacks
- Computer Networks & Network Security
Experience top of the world living and learning at SRM University-AP
+91-863-2343000
080-6988-6999 (admissions)
Email: admissions@srmap.edu.in
SRM University-AP, Neerukonda,
Mangalagiri Mandal, Guntur District, Andhra Pradesh - 522240
- February 2020- September 2022 – Assistant Professor – Vignan University, Guntur.
- June 2018- February 2020 – Assistant Professor – Sri Vasavi Institute of Engineering & Technology, Nandamuru.
- June 2017- May 2018 – Assistant Professor – , Gudlavalleru Engineering College, Gudlavalleru.
- Developing an adaptive in-network caching strategies to enhance the performance of next-generation internet architectures, especially Named Data Networking (NDN).
- Devising lightweight, real-time techniques to detect and mitigate security threats such as Interest Flooding Attacks in NDN.
- Integrating blockchain to establish decentralized trust, secure content authentication, and tamper-proof logging in data-centric networks.
- Kumari, Matta Krishna, Nikhil Tripathi, and Piyush Joshi. ”ProxaDyn: A Proximity-aware Dynamic Caching Approach for Named Data Networks.” IEEE Transactions on Network Science and Engineering, 2025 (SCIE, Impact factor :6.7, Quartile-Q1).
- Kumari, Matta Krishna, and Nikhil Tripathi. “Detecting interest flooding attacks in NDN: A probability-based event-driven approach”. Computers & Security 148 (2025): 104124. Elsevier publisher (SCIE, Impact factor :4.8, ABDC Rating- A, Quartile-Q1)
- Matta Krishna Kumari, Nikhil Tripathi “An Efficient Content Retrieval and Content Placement Approach for Named Data Networks”, 38th International Conference on Information Networking (ICOIN), 2024.
- Chirag Dhiwar, Matta Krishna Kumari, Nikhil Tripathi, Piyush Joshi, “A Statistical Anomaly Detection Approach to Detect Induced Interest Flooding Attacks in NDN”, CSP Workshop at 17th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2025.
- Matta Krishna Kumari, T. P. Latchoumi, G. Kalusuraman, M. Chithambarathanu and Latha Parthiban “Utilizing Scratch to Creating Computational Thinking at School with Artificial Intelligence”, A Closer Look at Big Data Analytics, Nova science publishers, ISBN: 978-1-53619-333-6
- Kumari, Matta Krishna, Rao, Katru Rama, Battula Bhavya, and Jonnalagadda VN Raju. ”Powerful D-CBDS Approach for collaborative Attackers on MANET.” Turkish Online Journal of Qualitative Inquiry 12.5 (2021).
- Matta, Krishna Kumari, V N S S R K Sai Somayajulu Meduri, Bellapukonda, Indra. (2020). “DIABETIC DISEASE PREDICATION USING MACHINE LEARNING TO ACCOMPLISH PRECISE ACCURACY.” International Journal of Advanced Science and Technology. 29. 12760-12769.
- KUMARI, M. KRISHNA, and Y. ADILAKSHMI. ”QAPS: An Effective Strategy for Identification of Malicious Nodes and Saving Energy.” (2016).
- Supriya, N., P. Vidyasri, S. Shivaprasad, Gudipati Murali, and Matta Krishna Kumari. “IOT for analyzing and investigating digital forensics tools using cloud computing.” International Journal of Health Sciences III: 1934-1955.
- E-mail id: krishnakumari.m@srmap.edu.in