Dr.Shruthi SK

@methodist.com

Assistant Professor/CSE
Methodist College of Engineering and Technology

Dr.Shruthi SK


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https://researchid.co/shruthisk
SK is an Academician and having an experience of 13+ years. Possessing an industry experience of around 6 years, She is currently associated with the Department of Computer Science and Engineering in Methodist College of Engineering and Technology, Hyderabad as an Assistant professor. She has received her MTech(CSE) degree from JNTU, Hyderabad in 2015. She has completed her doctorate from SSSUMTS, Bhopal in 2021. Her area of research includes Information security and Advanced databases

EDUCATION

B.Tech,MBA,M.Tech,Ph.D

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science Applications, Computer Science, Computer Engineering
5

Scopus Publications

17

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Smart Cyber Defense
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Multi-Mode Detection and Identification of Biometric using Multilevel Scaler SVM
    14th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2023, 2023
  • A Novel Twitter Sentimental Analysis Approach Using Naive Bayes Classification
    Lingala Thirupathi, G. Rekha, S. K. Shruthi, B. Sowjanya, Sowmya Jujuroo
    Lecture Notes in Networks and Systems, 2023
  • Determining the Security Standards of Different Crypto Algorithms
    P Surekha, P Nandini, S Shruthi, M Ankitha, P Rishitha, P Kalyani Sai Nikitha
    2nd International Conference on Sustainable Computing and Data Communication Systems Icscds 2023 Proceedings, 2023
    The protection of digital information has become increasingly important as technology advances. Testing each cryptosystem individually can be time-consuming. To address this problem, a novel technique has been developed for identifying the most appropriate encryption algorithm for images by using a support vector machine. This study has developed a novel approach to evaluate the security level of encrypted images using a dataset with standardized criteria to perform encryption cryptography. These parameters, for instance, entropy, contrast, homogeneity, peak signal-to-noise ratio, mean square error, energy, and correlation serve as features for the dataset, which is categorized into three security levels: tolerable(acceptable), poor(weak), and powerful(strong). The proposed results indicate the effectiveness of our approach in determining the security level of encrypted images.
  • False News Recognition Using Machine Learning
    Lingala Thirupathi, Rekha gangula, Sandeep Ravikanti, Jujuroo Sowmya, S K Shruthi
    Journal of Physics Conference Series, 2021
    In these modern times where internet has become widely popular and used by almost everyone, anyone can share or upload articles without any credibility. False news refers to articles that are published with the intent of deliberately misleading readers. In the recent times false news on internet has become more and it has become a major problem as it is difficult to differentiate between the real and the false news. False news and false posts have become more prevalent on social media sites such as Face book and Twitter. From these platforms the news will be spread like wild fire without any authenticity. It can be used to sway election outcomes against certain candidates, can be used for click baiting purposes, and can be used to earn revenue by misleading the users. In this paper we will use natural language processing techniques like bag of words and TD-IDF and machine learning concepts of classification algorithms like SVM and passive aggressive classifier to train our machine to differentiate false news from real news and we will compare the accuracy of methods used to find accurate model.

RECENT SCHOLAR PUBLICATIONS

  • Multimode Detection and Identification of Biometric Using Multilevel Scaler SVM
    R Dr.Shruthi SK
    ICAISC , 2023
    2023.0
  • A novel twitter sentimental analysis approach using Naive Bayes classification
    L Thirupathi, G Rekha, SK Shruthi, B Sowjanya, S Jujuroo
    Intelligent System Design: Proceedings of INDIA 2022, 401-407 , 2022
    2022.0
    Citations: 5
  • False news recognition using machine learning
    L Thirupathi, R gangula, S Ravikanti, J Sowmya, SK Shruthi
    Journal of Physics: Conference Series 2089 (1), 012049 , 2021
    2021.0
    Citations: 12
  • A Study of Data Security in Relational Databses towards threats and security Techniques
    S SK
    Our Heritage Journal 68 (69) , 2020
    2020.0
  • A Study of Data Security in Relational Database system
    S SK
    International Journal of Advance Research and Innovative Ideas in Education … , 2018
    2018.0
  • AN IoT BASED AUTONOMOUS ROBOT MONITORING SYSTEM
    DUM Dr.Shruthi SK

MOST CITED SCHOLAR PUBLICATIONS

  • False news recognition using machine learning
    L Thirupathi, R gangula, S Ravikanti, J Sowmya, SK Shruthi
    Journal of Physics: Conference Series 2089 (1), 012049 , 2021
    2021.0
    Citations: 12
  • A novel twitter sentimental analysis approach using Naive Bayes classification
    L Thirupathi, G Rekha, SK Shruthi, B Sowjanya, S Jujuroo
    Intelligent System Design: Proceedings of INDIA 2022, 401-407 , 2022
    2022.0
    Citations: 5
  • Multimode Detection and Identification of Biometric Using Multilevel Scaler SVM
    R Dr.Shruthi SK
    ICAISC , 2023
    2023.0
  • A Study of Data Security in Relational Databses towards threats and security Techniques
    S SK
    Our Heritage Journal 68 (69) , 2020
    2020.0
  • A Study of Data Security in Relational Database system
    S SK
    International Journal of Advance Research and Innovative Ideas in Education … , 2018
    2018.0
  • AN IoT BASED AUTONOMOUS ROBOT MONITORING SYSTEM
    DUM Dr.Shruthi SK