Dr Anita Patrot

@mlacw.org

Assistant Professor
Maharani Lakshmi Ammanni College for Women Autonomous

Dr Anita Patrot


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https://researchid.co/anitapatrot

EDUCATION

BCA, MSc(CS), P.hD,KSET,JRF

RESEARCH INTERESTS

Image Processing, Pattern Recognition
7

Scopus Publications

428

Scholar Citations

8

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • NBA Game Prediction Using Machine Learning Algorithm
    Anita Patrot, Harish H, Shambbavi B, Geetha P L, Sahana
    Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
    The large financial transactions in fantasy sports show how popular is sports outcome prediction have become important in recent years. Basketball, especially the National Basketball Association (NBA) of the United States well-liked sports in the world that attracts investment and millions of fans on a global scale. This paper offer a novel intelligent machine learning framework with the goal of identifying the key factors that have the greatest impact on NBA game outcomes. Techniques of machine learning determines the result of an NBA using previously played games, and various variable quantities that influence the game results. Numerous machine learning techniques have been used to accomplish the goals.
  • Knee Osteoarthritis Prediction Using Deep Learning
    Harish H, Anita Patrot, Bhavan S, Gousiya S, Livitha A
    2023 International Conference on Recent Advances in Information Technology for Sustainable Development Icrais 2023 Proceedings, 2023
    A significant fraction of the population is affected by the common degenerative joint condition known as knee osteoarthritis (OA), which can cause pain, stiffness, and functional difficulties. The ability to detect knee OA early and accurately can lead to proactive measures and individualized treatment plans. CNNs and the VGG model are two examples of Models of deep learning that recently displayed notable performance in a range of image recognition applications. The goal of this research paper is to use CNN and the VGG architecture to create a knee osteoarthritis model for prediction. The suggested method involves a sizable dataset of knee radiography images to train a CNN model, specifically the VGG model.
  • Forecasting of Congestive Cardiac Failure Using Deep Learning Algorithms
    H. Harish, Anita Patrot, A. Sreenivasa Murthy, M. V. Anushri, S. Meghana, M. Vinutha
    Communications in Computer and Information Science, 2023
  • Trojan malware image pattern classification
    Aziz Makandar, Anita Patrot
    Lecture Notes in Networks and Systems, 2018
  • Malware class recognition using image processing techniques
    Aziz Makandar, Anita Patrot
    2017 International Conference on Data Management Analytics and Innovation Icdmai 2017, 2017
    Increasing suspicious instructions of various malware through a challenge to the malware analysts to identify and classify samples belongs to the malicious family. They have witnessed the very fast increase in both the number and complexity of malware set of instructions. Malware invest profoundly in technology and capability to reorganize the process of building and mutate existing malware set of instructions to avoid traditional protection. Classify malware variants by applying image processing techniques. The textures play an important role in many image processing applications. In this paper we proposed the Support Vector Machine (SVM) multi-class malware image classification challenge from an image processing perspective. The multi-resolution and wavelets are used to build effective texture feature vector using Gabor Wavelet, GIST and Discrete wavelet Transform and other features. The proposed algorithm experimented on Malimg Dataset of malware total 12,470 samples are used. In that 1610 samples are trained and 1710 samples are tested on 8 malware family which is randomly selected from the dataset. We compare this approach to existing malware classification approaches previously published research work. This is an efficient and more accurate malware detection algorithm using Wavelet Transform with machine learning classifiers techniques to detect malware samples more capably compare to existing work.
  • Detection and Retrieval of Malware Using Classification
    Aziz Makandar, Anita Patrot
    2017 International Conference on Computing Communication Control and Automation Iccubea 2017, 2017
    This article a model of detection of malware classification is build using image processing techniques. In that image similarity approach is used to detect and retrieve of viruses in the form of malwares. Experimental result analysis done on Malimg data set for experiments and show that using image processing techniques such as Normalization of malware gray scale images then apply wavelet transform using Discrete Wavelet Transform at three level decomposition with PCA. The dimensionality reduction is done on normalized image such as preprocessed malware. After decomposition we apply wavelet based on Statistical Features (SF) such as mean, RMS, Standard Deviation & Variance. This model produces the TP (True Positive) and FP (False Positive) that are used to measures results for Image matching based malware detection framework. The proposed algorithm gives 92.92% accuracy and 92.38 %precision on Mahenuer dataset, and also on 88.75% accuracy and 90.15% precision on Malimg dataset.
  • Malware analysis and classification using Artificial Neural Network
    Aziz Makandar, Anita Patrot
    International Conference on Trends in Automation Communication and Computing Technologies I Tact 2015, 2016
    Today major and serious threat on internet is malicious software or data which damage the system. Malware variants identification and classification is the one of the most important research problem in digital forensics. Malware binaries are set of instructions which may affect your system without your authority. Many researchers worked in this area mainly relied on specific API calls, sequences of bytes, statistic and dynamic analysis is used for detection and classification of malware. The proposed method malware is represented as 2Dimensional gray scale image is observed malware images of all the available variants and their texture similarity, which motivate to classify malware based on texture features. The texture plays a very significant role in identify and classify malware. The objective of this paper is to identify a behavior of malicious data based on global features using Gabor wavelet transform and GIST. The experiment done on Mahenhur dataset which includes 3131 binaries samples comprising 24 unique malware families. The algorithm has been implemented using feed forward Artificial Neural Networks (ANN) it gives their overview uniqueness. The experimental results are promising to effectively detecting and classifying malware with good accuracy 96.35 %.

RECENT SCHOLAR PUBLICATIONS

  • Knee osteoarthritis prediction using deep learning
    H Harish, A Patrot, S Bhavan, S Gousiya, A Livitha
    2023 International Conference on Recent Advances in Information Technology … , 2023
    2023
    Citations: 7
  • NBA Game Prediction using Machine Learning Algorithm
    S Anita Patrot, Harish H, Shambbavi B, Geetha P L
    IEEE International Conference on Recent Trends in Electronics and … , 2023
    2023
    Citations: 4
  • SKIN DISEASE DETECTION USING DEEP LEARNING
    S Anita Patrot , Netravathy K
    INTERNATIONAL JOURNAL OF SCIENCE AND INNOVATIVE ENGINEERING & TECHNOLOGY 5 … , 2023
    2023
  • Forecasting of Congestive Cardiac Failure Using Deep Learning Algorithms
    H Harish, A Patrot, AS Murthy, MV Anushri, S Meghana, M Vinutha
    International Conference on Communication, Networks and Computing, 89-99 , 2023
    2023
    Citations: 1
  • Parkinson's Disease Detection using Machine Learning Algorithms
    HTUKB Harish H, Anita Patrot, Hemalatha
    Indian Journal of Natural Sciences 13 (75), 51024-51030 , 2022
    2022
  • Iot Based Accident Prevention using Arduino IDE
    A Patrot
    International Journal of Scientific Research 11 (11), 1-3 , 2022
    2022
  • Heart Diseases Prediction using Machine Learning Techniques
    A Patrot
    International Journal of Creative Research Thoughts (IJCRT) 10 (8), 672-676 , 2022
    2022
  • Internet of Things (IoT) Security Issues and Challenges
    A Patrot
    International Journal of Computer Trends and Technology 10 (10), 1-4 , 2022
    2022
    Citations: 2
  • A Statistical Approach to Malware Class Recognition
    AP Aziz Makandar
    Interntional Journal of Computer Applications 1 (1), 16-19 , 2018
    2018
  • Trojan malware image pattern classification
    A Makandar, A Patrot
    Proceedings of International Conference on Cognition and Recognition: ICCR … , 2017
    2017
    Citations: 30
  • Detection and retrieval of malware using classification
    A Makandar, A Patrot
    2017 International Conference on Computing, Communication, Control and … , 2017
    2017
    Citations: 6
  • Wavelet Statistical Feature Based Malware Class Recognition and Classification using Supervised Learning Classifier
    AP A Makandar
    Oriental Journal of Comuter Science & Technology 10 (No. (2)), 400-406 , 2017
    2017
    Citations: 25
  • Malware class recognition using image processing techniques
    A Makandar, A Patrot
    2017 International Conference on Data Management, Analytics and Innovation … , 2017
    2017
    Citations: 147
  • Texture Based Malware Pattern Identification and Classification
    A Makandar, A Patrot
    International Journal on Recent and Innovation Trends in Computing and … , 2016
    2016
    Citations: 3
  • An approach to Analysis of Malware using Supervised Learning Classification
    A Makandar, A Patrot
    ASCTET , 2016
    2016
    Citations: 8
  • Malware analysis and classification using Artificial Neural Network
    A Makandar, A Patrot
    2015 International Conference on Trends in Automation, Communications and … , 2015
    2015
    Citations: 110
  • Malware Image Analysis and Classification using Support Vector Machine
    A Makandar, A Patrot
    International Journal of Advanced Trends in Computer Science and Engineering … , 2015
    2015
    Citations: 37
  • Aziz Makandar
    A Patrot
    Trans. Pattern Anal. Mach. Intell 33 (4) , 2015
    2015
  • Overview of Malware Analysis and Detection
    A Makandar, A Patrot
    International Journal of Computer Applications (0975 – 8887) National … , 2015
    2015
    Citations: 20
  • Computation pre-processing techniques for image restoration
    A Makandar, A Patrot
    International Journal of Computer Applications 113 (4) , 2015
    2015
    Citations: 17

MOST CITED SCHOLAR PUBLICATIONS

  • Malware class recognition using image processing techniques
    A Makandar, A Patrot
    2017 International Conference on Data Management, Analytics and Innovation … , 2017
    2017
    Citations: 147
  • Malware analysis and classification using Artificial Neural Network
    A Makandar, A Patrot
    2015 International Conference on Trends in Automation, Communications and … , 2015
    2015
    Citations: 110
  • Malware Image Analysis and Classification using Support Vector Machine
    A Makandar, A Patrot
    International Journal of Advanced Trends in Computer Science and Engineering … , 2015
    2015
    Citations: 37
  • Trojan malware image pattern classification
    A Makandar, A Patrot
    Proceedings of International Conference on Cognition and Recognition: ICCR … , 2017
    2017
    Citations: 30
  • Wavelet Statistical Feature Based Malware Class Recognition and Classification using Supervised Learning Classifier
    AP A Makandar
    Oriental Journal of Comuter Science & Technology 10 (No. (2)), 400-406 , 2017
    2017
    Citations: 25
  • Overview of Malware Analysis and Detection
    A Makandar, A Patrot
    International Journal of Computer Applications (0975 – 8887) National … , 2015
    2015
    Citations: 20
  • Computation pre-processing techniques for image restoration
    A Makandar, A Patrot
    International Journal of Computer Applications 113 (4) , 2015
    2015
    Citations: 17
  • Color Image Analysis and Contrast stretching using Histogram Equalization
    A Makandar, A Patrot, B Halalli
    International Journal of Advanced Information Science and Technology(IJAIST … , 2014
    2014
    Citations: 11
  • An approach to Analysis of Malware using Supervised Learning Classification
    A Makandar, A Patrot
    ASCTET , 2016
    2016
    Citations: 8
  • Knee osteoarthritis prediction using deep learning
    H Harish, A Patrot, S Bhavan, S Gousiya, A Livitha
    2023 International Conference on Recent Advances in Information Technology … , 2023
    2023
    Citations: 7
  • Detection and retrieval of malware using classification
    A Makandar, A Patrot
    2017 International Conference on Computing, Communication, Control and … , 2017
    2017
    Citations: 6
  • NBA Game Prediction using Machine Learning Algorithm
    S Anita Patrot, Harish H, Shambbavi B, Geetha P L
    IEEE International Conference on Recent Trends in Electronics and … , 2023
    2023
    Citations: 4
  • Texture Based Malware Pattern Identification and Classification
    A Makandar, A Patrot
    International Journal on Recent and Innovation Trends in Computing and … , 2016
    2016
    Citations: 3
  • Internet of Things (IoT) Security Issues and Challenges
    A Patrot
    International Journal of Computer Trends and Technology 10 (10), 1-4 , 2022
    2022
    Citations: 2
  • Forecasting of Congestive Cardiac Failure Using Deep Learning Algorithms
    H Harish, A Patrot, AS Murthy, MV Anushri, S Meghana, M Vinutha
    International Conference on Communication, Networks and Computing, 89-99 , 2023
    2023
    Citations: 1
  • SKIN DISEASE DETECTION USING DEEP LEARNING
    S Anita Patrot , Netravathy K
    INTERNATIONAL JOURNAL OF SCIENCE AND INNOVATIVE ENGINEERING & TECHNOLOGY 5 … , 2023
    2023
  • Parkinson's Disease Detection using Machine Learning Algorithms
    HTUKB Harish H, Anita Patrot, Hemalatha
    Indian Journal of Natural Sciences 13 (75), 51024-51030 , 2022
    2022
  • Iot Based Accident Prevention using Arduino IDE
    A Patrot
    International Journal of Scientific Research 11 (11), 1-3 , 2022
    2022
  • Heart Diseases Prediction using Machine Learning Techniques
    A Patrot
    International Journal of Creative Research Thoughts (IJCRT) 10 (8), 672-676 , 2022
    2022
  • A Statistical Approach to Malware Class Recognition
    AP Aziz Makandar
    Interntional Journal of Computer Applications 1 (1), 16-19 , 2018
    2018