Subjects Handled

• Machine Learning
• Data Structures
• Operating Systems
• Database Management Systems
• Computer Networks
• Programming in C
• Python

Research Area

Network Security, Intrusion Detection System

Papers Published/Books Published

>> Journals

1. A. K. Silivery, R. M. R. Kovvur(2024) “Dual-path Feature Extraction based Hybrid Intrusion Detection in IoT Networks” Computers and Electrical Engineering/Elsevier, Volume 122, 2025, 109949, ISSN 0045-7906, DoI: https://doi.org/10.1016/j.compeleceng.2024.109949
   (Indexed: Sources Citation Index Expanded (SCIE), Scopus)
2. Swapna Saturi, A. K. Silivery(2024) “Computer Allied Intelligence in the Education ResourceSharing Based in Contract Deep Learning” Journal of Computer Allied Intelligence, (JCAI, ISSN: 2584-2676), 2(4), 51-69. Aug 2024 DoI: https://doi.org/10.69996/jcai.2024019
   (Indexed: Google Scholor,Publons)
3. A. K. Silivery, R. M. R. Kovvur, and S. Kumar,(2024) “RAP-DenseNet Framework for Network Attack Detection and Classification,” Journal of Information & Knowledge Management/World Scientific, Mar. 2024, DoI: https://doi.org/10.1142/S0219649224500333
   (Indexed: Emerging Sources Citation Index (ESCI), Scopus)
4. A. K. Silivery, R. M. R. Kovvur, and S. Kumar, (2023) “An Effective Deep Learning Based Multi-Class Classification of DoS and DDoS Attack Detection,” International Journal of Electrical and Computer Engineering Systems, vol. 14, no. 4, pp. 421–431, Apr. 2023, DoI: https://doi.org/10.32985/ijeces.14.4.6
   (Indexed: Emerging Sources Citation Index (ESCI), Scopus)
5. A. K. Silivery, R. M. R. Kovvur, R. Solleti, L. Kumar, and B. Madhu (2023) “A model for multiattack classification to improve intrusion detection performance using deep learning approaches,” Measurement. Sensors/Elsevier , vol. 30, p. 100924, Dec. 2023, DoI: https://doi.org/10.1016/j.measen.2023.100924
   (Indexed: Scopus)
6. B. Madhu, M. V. G. Chari, R. Vankdothu, A. K. Silivery, and V. Aerranagula,(2023) “Intrusion detection models for IOT networks via deep learning approaches” Measurement. Sensors/Elsevier , vol. 25, p. 100641, Feb. 2023, DoI: https://doi.org/10.1016/j.measen.2022.100641
   (Indexed: Scopus)

>> Conferences

1. A. K. Silivery, R. M. R. Kovvur et. al. “Inculcated feature selection process using INBPOA for DDoS Detection and classification,” Proceedings of the International Conference on Cognitive and Intelligent Computing, Status: Accepted,
   (Indexed: Scopus) International Conference on Cognitive and Intelligent Computing (ICCIC’23)
2. A. K. Silivery, R. M. R. Kovvur et. al.(2023) “An advanced intrusion detection algorithm for network traffic using convolution neural network,” International Conference on Electronics, Communication and Computing Technologies (ICECCT) IEEE Xplore, Feb. 2023, DoI: https://doi.org/10.1109/ICECCT56650.2023.10179767
   (Indexed: Scopus)
3. T. Shekar Reddy, Y. Rama Devi, A. K. Silivery(2023) “Secure routing protocol comparison analysis between RNBR with TMR and face” 1st International Conference on “Computational Intelligence and Network Security (ICCINS-2022) AIP Conf. Proc. 28 April 2023; 2724 (1): 040004. DoI: https://doi.org/10.1063/5.0129257
   (Indexed: Scopus)

>> Books/ Chapters

1. Dr.T.Sekhar Reddy, Dr.Y. Rama Devi, Arun Kumar Silivery(2022)."Node Securing Protocol for Effective Routing in Mobile AdHoc Network" Publisher: Lambert Academic Publishing, ISBN: 978-620-4-75253-2, Online Link 978-620-4-75253-2

Workshops / Seminars Attended/organized

• Acted as a Session Chair and Jury Memeber at One Day National Seminar on the Topic "Innovative Techniques in Associating Databases Application Programming Interfaces" on 25th January 2025. Organized by Smt. A Shyamala Devi Degree College for Women, Hyderabad. Funded by Telangana State Council of Higher Education.
• Participated online Faculty Development Programme (FDP) on "Deep Learning and AI Applications" Organized by E&ICT Academy, National Institute of Technology, Warangal, in association with Department of IT, Vasavi College of Engineering (Autonomous), Hyderabad. During 21st to 30th June 2021.
• Participated online Faculty Development Programme (FDP) on "Trends and Advances in Crtyptography" National Level Five Day programme. Organized by Department of Electronics And Computer Engineering (ECM), Sreenidhi Institute of Science and Technology, Hyderabad. During 24th to 28th August 2020.

Memberships

• Association for Computing Machinery (ACM): 4204425
• Computer Science Teachers Association (CSTA): 198358042924
• International Association of Engineers(IAENG): 501099
• Internet Society (ISOC): 2322275

Awards

• Awarded Elite Grade in NPTEL Online Certification for "Introduction to Internet of Things”, a 12- week course (July–October 2024), conducted by IIT Kharagpur, funded by the Ministry of Education, Government of India.
• Awarded NPTEL Online Certification for "Deep Learning”, a 12-week course (July–October 2024), conducted by IIT Ropar, funded by the Ministry of Education, Government of India.