Dr. Nemalikanti Anand

Computer Science & Engineering

Phone:0
Email: nemalikanti.anand@dtu.ac.in

Qualifications

Ph.D (University of Hyderabad), M.Tech (Pondicherry Central University), B.Tech (JNTU Kakinada)

Areas of Interest

Cryptography, Cyber Security and Software Defined Networks

 

PROFESSIONAL EXPERIENCE

 

 

SCHOLASTIC HONORS AND ACHIEVEMENTS

 
  1. Qualified UGC NET JRF and 10+ times UGC NET in Computer Science & Applications.
  2. Agricultural Scientists Recruitment Board (ASRB) NET in the Computer Science division. 

  3. Qualified 3 times GATE in Computer Science division.

  4. Got Merit cum Means Scholarship at Graduation and Post Graduation level.

  5. Received a special award in MATHS OLYMPIAD at the school level.

  6. Awarded National Cadet Corps (NCC) ‘A, B and C’ certificates.

 

RESEARCH PUBLICATIONS/COMMUNICATED

 
  1. N. Anand and M A Saifulla, “Protocol based Intrusion Detection System using Hybrid RIDGE Classifier to Imbalanced Datasets: InSDN, UNSW-NB15, BoT-IoT and ToN-IoT”, Springer Nature in Cluster Computing Journal, 2024. [SCIE and Scopus Indexed, Impact Factor: 3.6] [Minor comments addressed. Editor decision pending].

  2. N.Anand and Ankama rao, “Building Enhanced Neural Networks Models to Predict Energy Storage Density of Composite Materials for Low-Temperature Thermochemical Energy Storage”, ASME in Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy, 2024 [ SCIE and Scopus Indexed, Impact Factor : 1.7], [Minor comments addressed. Editor decision pending]

  3. KC Yadav, N.Anand and M.A Saifulla, “Efficient Intrusion Detection in Software-Defined Networks: A Dimensionality Reduction and Ensemble Learning Approach”, [Scopus Indexed Journal, Communicated].

  4. N. Anand, M A Saifulla and Pavan A "Enhancing intrusion detection against denial of service and distributed denial of service attacks: Leveraging extended Berkeley packet filter and machine learning algorithms." IET Communications 19.1 (2025): e12879. [ SCIE and  Scopus Indexed, Impact Factor: 1.6 ]
  5. N. Anand and M A Saifulla, “EN-LAKP: Lightweight Authentication and Key Agreement Protocol for Emerging Networks,” in IEEE Access, doi: 10.1109/ACCESS.2023.3255646. [SCIE and Scopus Indexed, Impact Factor: 3.56]

  6. N. Anand and M A Saifulla, “Securing Software Defined Networks: A Comprehensive Analysis of Approaches, Applications, and Future Strategies against DoS Attacks”. IEEE Access, doi: 10.1109/ACCESS.2024.3520478. [SCIE and Scopus Indexed, Impact Factor: 3.56]

  7. N. Anand and M A Saifulla, “A probabilistic method to identify http/1.1 slow rate dos attacks”. 4th International Conference on Communication and Intelligent Systems, ICCIS 2022, Springer, organized by National Institute of Technology Delhi. [Scopus Indexed]

  8. N. Anand and M A Saifulla, “An efficient ids for slow rate http/2.0 dos attacks using one class classification”. 8th International Conference for Convergence in Technology (I2CT), 2023, IEEE, Bombay section. [Scopus Indexed]
  9. N.Anand, M.A Saifulla, G Raja Ashok Reddy, and Pavan P., “Effective Encrypted Traffic Analysis”. 7th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2022), 2022. [Scopus Indexed]
  10. Aftab Hussain, M A Saifulla and N. Anand, “Integration of classical and Quantum Network Simulator: NS-3 with NetSquid”. 7th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2022), 2022. [Scopus Indexed] 
  11. Pavan P, M.A Saifull and N.Anand, “Improvising Encrypted Traffic Analysis Using Stacking Ensemble Model”. 7th International Conference on Advanced Computing and IntelligentEngineering (ICACIE 2022), 2022. [Scopus Indexed] 

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Last Updated : 2025-04-24 11:57:36