RINKAL DHARMESH SARVAIYA

@paruluniversity.ac.in

ASSISTANT PROFESSOR / RESEARCH SCHOLAR / MCA DEPARMENT
parul university

RINKAL DHARMESH SARVAIYA


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https://researchid.co/rinkal_sarvaiya

EDUCATION

MCA [ PHD PURSUING]

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Multidisciplinary
3

Scopus Publications

4

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Optimizing DDoS Detection Using Machine Learning Approach
    Saswati Chatterjee, Rinku Vedu Patil, Mukesh Choudhary, Rinkal Dharmesh Sarvaiya
    Smart Innovation Systems and Technologies, 2026
  • Dual-stage detection of MITM attacks using PCA and ensemble machine learning
    Saswati Chatterjee, Mukesh Choudhary, Rinkal Dharmesh Sarvaiya, Saumil B Trivedi, Sumit Kumar Soni, Mohit Waghela
    Connecting Intelligence Trends in Computation and Data Communication, 2026
    The study looks at the growing danger of Man-in-the-Middle (MITM) attacks alongside network security developments. Even with modern security, finding who started the attack is not easy. This work introduces an approach using machine learning to identify and analyze MITM attacks in a refined manner. It creates a dual detection process: PCA is first used to simplify data, and then a selection of predictive models, such as Support Vector Machines (SVM), Random Forest, XG-Boost, and Gradient Boosting, is used to classify the attacks identified by principal component analysis (PCA). Collected and analyzed data is supported using Wireshark, Xplico, and SNORT. The trial results show that the method is reliable at spotting MITM attacks. The use of digital forensics and machine learning, supported by reducing dimensionality in the method, helps boost the reliable and precise detection of threats on networks, dealing with the current issues of tracking and stopping MITM attacks. This research also emphasizes the growing complexity of internet traffic, which necessitates more adaptive and intelligent security solutions. By leveraging big data and machine learning, the framework aims to strengthen digital forensic capabilities and proactively respond to sophisticated cyber threats.
  • MACHINE LEARNING TECHNIQUES FOR IDENTIFYING DDOS ATTACKS IN CLOUD COMPUTING BACKGROUND
    Saswati Chatterjee, Mukesh Choudhary, Rinkal Dharmesh Sarvaiya, M. D. Faruk Abdulla
    Iet Conference Proceedings, 2025
    In a Denial of Service (DoS) attack, malicious actors aim to disrupt the normal functioning of network infrastructure, preventing legitimate programs from establishing connections. This form of cyberwarfare involves inundating the targeted system with a substantial volume of traffic, depleting its resources, and causing network congestion. Unlike other cyber threats, the objective here is not to compromise sensitive data or infiltrate credential files but to render the victim system inaccessible. The attackers exploit the difficulty of managing an overwhelming volume of data traffic, hindering the successful delivery of packets to their intended destinations. Typically, network connections involve a three-way handshake process. The client initiates the connection by sending a request to the server, which, in turn, allocates capacity within its reservoir connection. In this paper, we have designed a DDoS detection system based on the C.4.5 algorithm, Naïve Bayes, and K-NN classifier to prevent the DDoS threat. This algorithm, combined with signature detection techniques, produces a decision tree to accomplish automatic, effective detection of signature attacks for DDoS flooding attacks. To evaluate the system, we formulated additional machine-learning methodologies related to them to obtain the desired results.

RECENT SCHOLAR PUBLICATIONS

  • Artificial Intelligence & Machine Learning Integrated Nanocarrier Systems for Predictive and Targeted Therapeutic Delivery
    rinkal dharmesh sarvaiya Hardik Parmar 1 , Jigar Bhawsar2 , Sohil Govindbhai ...
    International Journal of Drug Delivery Technology 16 (33s), 761-771 , 2026
    2026.0
  • AI - Powered Personalized Learning with Ayur-Deep for Preventing Obesity in Young Populations
    RD Sarvaiya
    journal of research & innovation in technolgy, commerce & management 10 (2 … , 2025
    2025.0
  • Machine learning techniques for identifying DDOS attacks in cloud computing background
    S Chatterjee, M Choudhary, RD Sarvaiya, MDF Abdulla
    Parul University International Conference on Engineering and Technology 2025 … , 2025
    2025.0
  • Intelligent Shopping Cart Systems Enhance the CheckoutExperience and Enable Real-Time Inventory Tracking in Retail Environments
    VS Dr. Mukesh Choudhary1, Jigar Bhawsar2, Rinkal Sarvaiya3, Rinku Patil4
    Journal of Information Systems Engineering and Management 10 (2025), 7 , 2025
    2025.0
    Citations: 3
  • Optimizing DDoS Detection Using Machine Learning Approach
    S Chatterjee, RV Patil, M Choudhary, RD Sarvaiya
    Congress on Smart Computing Technologies, 661-667 , 2024
    2024.0
    Citations: 1
  • Dual-stage detection of MITM attacks using PCA and ensemble machine learning
    S Chatterjee, M Choudhary, RD Sarvaiya, SB Trivedi, SK Soni, ...
    Connecting Intelligence, 201-205 , 0
  • Machine Learning for Cyber Threat Detection
    S Agal

MOST CITED SCHOLAR PUBLICATIONS

  • Intelligent Shopping Cart Systems Enhance the CheckoutExperience and Enable Real-Time Inventory Tracking in Retail Environments
    VS Dr. Mukesh Choudhary1, Jigar Bhawsar2, Rinkal Sarvaiya3, Rinku Patil4
    Journal of Information Systems Engineering and Management 10 (2025), 7 , 2025
    2025.0
    Citations: 3
  • Optimizing DDoS Detection Using Machine Learning Approach
    S Chatterjee, RV Patil, M Choudhary, RD Sarvaiya
    Congress on Smart Computing Technologies, 661-667 , 2024
    2024.0
    Citations: 1
  • Artificial Intelligence & Machine Learning Integrated Nanocarrier Systems for Predictive and Targeted Therapeutic Delivery
    rinkal dharmesh sarvaiya Hardik Parmar 1 , Jigar Bhawsar2 , Sohil Govindbhai ...
    International Journal of Drug Delivery Technology 16 (33s), 761-771 , 2026
    2026.0
  • AI - Powered Personalized Learning with Ayur-Deep for Preventing Obesity in Young Populations
    RD Sarvaiya
    journal of research & innovation in technolgy, commerce & management 10 (2 … , 2025
    2025.0
  • Machine learning techniques for identifying DDOS attacks in cloud computing background
    S Chatterjee, M Choudhary, RD Sarvaiya, MDF Abdulla
    Parul University International Conference on Engineering and Technology 2025 … , 2025
    2025.0
  • Dual-stage detection of MITM attacks using PCA and ensemble machine learning
    S Chatterjee, M Choudhary, RD Sarvaiya, SB Trivedi, SK Soni, ...
    Connecting Intelligence, 201-205 , 0
  • Machine Learning for Cyber Threat Detection
    S Agal