DR SUNILVIJAYA KUMAR GADDAM

Dr. Sunil VK Gaddam received his B. Tech. from Sri Venkateswara University (SVU), Tirupati, India, in 1993, Post Graduate Diploma in Computer Engineering (PGDCE) from School of Computer Science, Institute of Post Graduate Studies and Research (IPGSR), Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, in 1994, and M. Tech. (Computer Science & Technology) from School of Computer and Systems Sciences (SC & SS), Jawaharlal Nehru University (JNU) - A Central University, New Delhi, India, in 1997. He has completed his Ph.D. in Computer Science from School of Computer and Information Sciences (SOCIS), Indira Gandhi National Open University (IGNOU) - A Central University, New Delhi, India in 2011.

He has over 24 years of experience of teaching courses in the discipline of Computer Science in various Indian Universities. He is currently a Professor of Computer Science & Engineering & DEAN (CSE & Allied Departments) @ Lords Institute of Engineering & Technology, Hyderabad,T.S

EDUCATION

B. Tech (ECE), Post Graduate Diploma in Computer Engineering (PGDCE), M. Tech (Computer Science & Technology), Ph.D. (Computer Science)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Science, Computer Science Applications, Computer Networks and Communications

Scopus Publications

Design and Evaluation of a Quantum-Resilient Cryptographic Framework for Enhancing Security and Efficiency in Distributed Cloud Environments
Samunnisa K, Sunil V.K. Gaddam, and Madhavi K
Seventh Sense Research Group Journals
- As the digital landscape evolves, the reliance on cloud computing for critical infrastructure across various sectors highlights the need for robust security mechanisms to protect sensitive data from emerging cyber threats, particularly those posed by quantum computing. Traditional cryptographic systems, while currently effective, are vulnerable to quantum attacks, necessitating the development of quantum-resistant solutions. This research introduces the Quantum-Resilient Cryptographic Framework (QRCF), a hybrid, adaptive cryptographic framework designed to safeguard cloud environments against both classical and quantum threats. The QRCF integrates lattice-based Kyber and code-based McEliece algorithms, offering a comprehensive and scalable solution for secure data storage, management, and transmission. Key contributions include the development of a dynamic security management layer that adapts to real-time threat analysis, ensuring continuous protection against evolving threats, and the implementation of robust post-quantum cryptographic methods that maintain high performance and low computational overhead. Quantitative analysis shows that the QRCF maintains a high throughput of 420 MB/s for encryption and 400 MB/s for decryption under normal operations, with latency as low as 3.2 ms and 3.6 ms, respectively. The framework exhibited strong resistance to various attack models, with success rates of 1.0% for brute-force attacks, 1.875% for MITM attacks, 0.833% for side-channel attacks, and 1.6% for replay attacks. Against quantum threats, the QRCF showed no vulnerability to Shor’s Algorithm and a minimal success rate of 0.667% for Grover’s Algorithm. The framework’s design ensures seamless integration with existing cloud infrastructures, providing practical migration strategies to quantum-safe cryptography without disrupting operational workflows. By addressing key research gaps in quantum-safe cloud security, this study contributes significantly to the field, offering a robust, scalable, and efficient cryptographic solution that enhances the security and operational performance of cloud environments in the face of advancing quantum computational capabilities.


Enhancing Cloud Security: A Hybrid Honeycomb-Lattice Encryption Model for Quantum Resistance
Samunnisa K, Sunil VK Gaddam, and Madhavi K
Seventh Sense Research Group Journals



An Efficient Intelligent Time Slice Based Round Robin Scheduling Algorithm for ATM Using ISBP
Sunil V. K. Gaddam, D. K. Lobial, and Manohar Lal
Springer Science and Business Media LLC



Feature selection for machine learning in big data
K. Kalpana, G. Kumar and K. Madhavi
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
We are in the information age there by collecting very huge volume of data from diverse sources in structured, unstructured and semi structured form ranging to petabytes to exabytes of data. Data is an asset as valuable knowledge and information is hidden in such massive volumes of data. Data analytics is required to have a deeper insights and identify fine grained patterns so as to make accurate predictions enabling the improvement of decision making. Extracting knowledge from data is done by data analytics, Machine learning forms the core of it. The increase in the dimensionality of data both in terms of number of tuples and also in terms of number of features poses several challenges to the machine learning algorithms . Preprocessing of data is done as a prior step to machine learning, so feature selection is done as a preprocessing step to have the dimensionality reduction of the data and thereby removing the irrelevant features and improving the efficiency and accuracy of a machine learning algorithm. In this paper we are studying various feature selection mechanisms and analyze them whether they can be adopted to sentiment analysis of big data.


A circumscribed research of load balancing techniques in cloud computing
K. Samunnisa, G. Kumar and K. Madhavi
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Cloud Computing (CC) is a very big field in the computer industry. It has systems that are connected through communication networks such as Internet. The LBA is an important cloud computing area to prevent overloaded workload and provide the same and valuable service. The various algorithms are used to solve the load balancing complexity. In this paper, we explain various standard load balancing techniques in different algorithms and challenges in assigning tasks to Cloud Computing. The load balancing algorithm can be used to better utilize and better understand user needs


Integrated Network Management for ATM and Broadband Networks using Integrated Speed Bit Protocol
Sunil V. K. Gaddam, D. K. Lobial, and Manohar Lal
Springer Science and Business Media LLC



Ant-based Integrated Traffic Control and Management in ATM Networks
Sunil V K Gaddam, D K Lobiyal, and Manohar Lal
Informa UK Limited
ABSTRACT Asynchronous transfer mode (ATM) is a cell-switching and multiplexing technology that combines the benefits of circuit switching with those of packet switching. Traffic management in ATM is concerned with ensuring that users get their desired quality of service (QoS). The problem of traffic management is especially difficult during the periods of heavy load particularly if the traffic demands cannot be predicted in advance. The issue of traffic control and bandwidth management in ATM-based networks is complex due to a mixture of different connection traffic types, QoS requirements, and time scales. In this paper, we provide an ant-based integrated technique to control the occurrence of congestion and allocate bandwidth for various traffic services in a prioritized manner. The forward ants collect the QoS information of the nodes regarding the available bandwidth and the buffer size. Then based on the QoS requirements of the various traffic classes, the optimum path is selected based on the observed QoS statistics collected by the ant agents. Therefore, the ant-based integrated technique provides the network to efficiently use the traffic, thus providing an efficient traffic management for the ATM network. By simulation results, we show that the proposed ant-based technique outperforms the existing architecture in terms of throughput and delay.


Efficient cancellable biometric key generation scheme for cryptography

RECENT SCHOLAR PUBLICATIONS

An Efficient Intelligent Time Slice Based Round Robin Scheduling Algorithm for ATM Using ISBP
SVK Gaddam, DK Lobial, M Lal
Wireless Personal Communications 122 (1), 1-21 2022



Integrated Network Management for ATM and Broadband Networks using Integrated Speed Bit Protocol
SVK Gaddam, DK Lobial, M Lal
Wireless Personal Communications 98, 2925-2941 2018



Ant-based Integrated Traffic Control and Management in ATM Networks
SVK Gaddam, DK Lobiyal, M Lal
IETE Journal of Research 61 (6), 609-616 2015



Confidentiality in Public Auditing for Shared Data in the Cloud
DRGSVK G. CHINNA RAMALINGA REDDY
International Journal of Scientific Engineering & Technology Research 4 (10 2015



Generation of Bio-Crypto Key from Cancellable Fingerprint Template
DSVK Gaddam
LAP Lambert Academic Publishing 2014



Evaluation and Analys is Study of TSRT- Lightweight Time Stamp Synchronization Approach in Wireless Sensor Network
SVKG Surendra Rahamatkar
International Journal of Engineering Sciences & Research Technology 3 (5 2014



Evaluation & Analysis study of Multi Hop TSRT-Lightweight Time Stamp Synchronization Approach in WSNs
SVKG Surendra Rahamatkar
International Journal of Mobile & Adhoc Network 4 (issue 2), 122-128 2014



Development of bio-crypto key from fingerprints using cancelable templates
SVK Gaddam, M Lal
International Journal on Computer Science and Engineering 3 (2), 775-783 2011



Efficient Cancelable Biometric Key Generation Scheme for Cryptography.
SVK Gaddam, M Lal
Int. J. Netw. Secur. 11 (2), 61-69 2010



A New Approach For Formulating Randomized Cryptographic Key Generation Using Cancelable Biometrics
SVK Gaddam, M Lal
SAM 2010: proceedings of the 2010 international conference on security 2010



An Effective Method for Revocable Biometric Key Generation.
SVK Gaddam, M Lal
Security and Management, 232-237 2009



A Review on Next Generation Networks: Convergence and QoS.
SVK Gaddam, M Lal
ICWN, 235-241 2009



Critical Issues and Solutions in Network Management Architectures.
M Lal, SVK Gaddam, R Chakka
International Conference on Internet Computing, 189-195 2006



INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
S Rahamatkar, SVK Gaddam




POR: Reliable data delivery for mobile adhoc Network using ADMR Protocol
JC Kumar, SVK Gaddam, E Sudrashan




Improved Safety in Spontaneous WSN by Incursion Exposure
NP Reddy, SVK Gaddam, E Sudrashan




Generation of a New-Fangled Cancelable Biometric Key through Fingerprints
SVK Gaddam, M Lal




Manohar lal,“
SVK Gaddam
Development of Bio-Crypto Key From Fingerprints using Cancellable Templates

MOST CITED SCHOLAR PUBLICATIONS

Efficient Cancelable Biometric Key Generation Scheme for Cryptography.
SVK Gaddam, M Lal
Int. J. Netw. Secur. 11 (2), 61-69 2010
Citations: 101



Development of bio-crypto key from fingerprints using cancelable templates
SVK Gaddam, M Lal
International Journal on Computer Science and Engineering 3 (2), 775-783 2011
Citations: 7



Manohar lal,“
SVK Gaddam
Development of Bio-Crypto Key From Fingerprints using Cancellable Templates
Citations: 4



Integrated Network Management for ATM and Broadband Networks using Integrated Speed Bit Protocol
SVK Gaddam, DK Lobial, M Lal
Wireless Personal Communications 98, 2925-2941 2018
Citations: 2



An Efficient Intelligent Time Slice Based Round Robin Scheduling Algorithm for ATM Using ISBP
SVK Gaddam, DK Lobial, M Lal
Wireless Personal Communications 122 (1), 1-21 2022
Citations: 1



Ant-based Integrated Traffic Control and Management in ATM Networks
SVK Gaddam, DK Lobiyal, M Lal
IETE Journal of Research 61 (6), 609-616 2015
Citations: 1



Critical Issues and Solutions in Network Management Architectures.
M Lal, SVK Gaddam, R Chakka
International Conference on Internet Computing, 189-195 2006
Citations: 1