S FAIZAL MUKTHAR HUSSAIN

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems

Scopus Publications

Enhanced Medical Image Classification Using LSA and PCA in CNN
Thasneem Suhaifa S, Faizal Mukthar Hussain S, Karthikeyan R, Sheik Yousuf T, Rasina Begum B, and Mohammed Uveise S A
EDP Sciences
We are presently living in the era where in medical field, the use of technology plays a major role in disease diagnosis and in treatment. In recent years Medical Image Processing play a significant role in modern diagnostics, where precision and accuracy are of highly important for planning and treatment of diseases. In this study, we present an enhanced approach that integrates Least Squares (LSA) alongside with Principal Component Analysis (PCA) within the Convolutional Neural Network (CNN) framework of deep learning to improve image processing and image resolution for medical diagnostics .Here LSA is employed to reduce the noise to the greater extent and to refine the feature for better clarity, while PCA employed in dimensionality reduction for efficient processing and preserving critical image details and at the same time CNN enables the automatic feature extraction and interpretation of image. Our results demonstrate that this combined LSA and PCA in CNN model offers significant improvement in image processing speed, efficiency in computation, reduction in noise present in the medical image, increasing sharpness of the image for high resolution leads to the accuracy in detection of diseases making it a promising method for advanced and enhanced medical imaging applications.


Advanced privacy protection (APP) machine learning model using cryptographic techniques for IoT
K. Senthil, R. Karthikeyan, S. Shanmuga Priya, R. Monikaa, S. Ramamoorthi, and S. Faizal Mukthar Hussain
Springer Science and Business Media LLC



Security Assurance of the IoT Environment by Applying Machine Learning: A Survey
S. Faizal Mukthar Hussain, R. Karthikeyan, S. Ramamoorthi, V. Balamurugan, and Prakash Kumar Sarangi
Springer Nature Switzerland



Enhanced Model for Medical Image Data Security Using Machine Learning
S. Karthiyayini, Jeniffer John Simon Christopher, I. Sheik Arafat, and Faizal Mukthar Hussain Syed Moomin
Springer Science and Business Media LLC



Federated Learning-Assisted Coati Deep Learning-Based Model for Intrusion Detection in MANET
S. Faizal Mukthar Hussain and S. M. H. Sithi Shameem Fathima
Springer Science and Business Media LLC
AbstractMANET is a set of self-arranged, wirelessly connected nodes. Each mobile ad hoc network node acts as a router to send the packet from the source node to the destination node. MANET nodes’ random movements and decentralized architecture pose security challenges, making them vulnerable to various attacks like node selfishness, network partition, black hole, and DoS due to limited hardware resources. In this paper, a novel Hybrid Intrusion DEtection for MANet (HIDE-MAN) technique has been proposed to detect intrusion like DDoS and MitM attacks in MANET. The proposed HIDE-MAN framework initiates by preprocessing malicious data packets through data cleaning and data transformation resulting in the creation of high-dimensional vectors. The intrusion detection system then makes use of the CO-BiLSTM model, which is based on the actions of Coati and BiLSTM. It categorizes outputs into DDoS attacks, MitM attacks, or the absence of any attacks. Federated learning with GAN networks allows for the aggregation of updates from multiple local models distributed across MANET. Assessment metrics such as accuracy, precision, F1 score, detection rate, recall, and security rate have been utilized to assess the efficacy of the proposed HIDE-MAN method. The comparative analysis shows that the detection rate of the proposed HIDE-MAN is greater by 18.9%, 18.07%, and 4.03% than that of the current KBIDS, WOA-DNN, and MSA-GCNN techniques, respectively.


AI Based Model for the Creation of Chatbots to Help in the Instructional Process
Kachi Anvesh, Bharati Mahantayya Reshmi, R. Karthikeyan, S. Ramamoorthi, and S.Faizal Mukthar Hussain
IEEE
Now-a-days Technology advances rapidly. New smartphone apps are popular. From manufacturing to customer assistance, AI is crucial today. Academic Chatbots help children succeed academically, but they're time-consuming to manage. The COVID-19 pandemic and the abrupt transition of education to the internet have made it much harder and more time-consuming for advisers to manage the rising amount of online enquiries. Alexa and Siri are popular chatbots that help people. Most students visit institutions to seek college-related information, which requires manpower to provide visitors with information. So, a chatbot can solve the difficulties. This article allows users to converse with a chatbot anytime, anyplace. This work set up an online chatbot system to help college website users. It uses tools that expose Artificial Intelligence methods like Natural Language Processing. This lets users talk to the college chatbot using natural language input and train the chatbot to give a response using the right Machine Learning methods. The algorithm looks at questions about college and tells the user what it found.


Demystifying Applications of Explainable Artificial Intelligence (XAI) in e-Commerce
S. Faizal Mukthar Hussain, R. Karthikeyan, and M. A. Jabbar
Springer Nature Switzerland



Enhanced Protection for Information and Network using Intrusion Detection System
S. Faizal Mukthar Hussain, R. Karthikeyan, S. Ramamoorthi, I. Sheik Arafat, and S. Syed Musthafa Gani
IEEE
The world of today has been transformed into a little community where everyone may communicate with one another. The widespread use of the internet makes this possible. People now have a huge window of opportunity thanks to the internet to broaden their perspectives. Threats to personal security were another negative, which will result in expenses for both psychological support and money. There is a lot of research being done to preserve the data in such an environment. The results of this survey could improve internetworking environment security and control current assaults like DoS and cyberattacks. As it allows for the interception of private networks, intrusion is a problem that frequently arises in internetwork. Denials of Service Attacks are a significant issue in Internet networks as it can disrupt communication between two or more authorized entities. The entire focus of this research is on examining the approaches used to develop intrusion detection systems.


Denial of Service Attack Analysis Using Machine Learning Techniques
S.Faizal Mukthar Hussain, R. Karthikeyan, S. Ramamoorthi, I.Sheik Arafat, and S.Syed Musthafa Gani
IEEE
Internet helps the users to develop their skills as well as for doing their day to day activities. Regular work of the users is generally done via online. If people want to do money based transaction or sending important message to their neighbor, they use online network. This can be used and interfere by the attackers. Many attackers utilize the tools to disturb the authorized user job. Major attack utilized by the attacker to disturb the service get by the authorized users is denial of service. It becomes major kind of procedure done by the intruder to take control over system or to down the server. In this paper we analyze the DoS attack including its distributed version. Impacts of DoS are also discussed. Based on the survey and analysis we suggest the model for handling the DoS attack dynamically is also mentioned.

RECENT SCHOLAR PUBLICATIONS

Advanced privacy protection (APP) machine learning model using cryptographic techniques for IoT
K Senthil, R Karthikeyan, SS Priya, R Monikaa, S Ramamoorthi, ...
Discover Applied Sciences 7 (3), 213 2025



Federated Learning-Assisted Coati Deep Learning-Based Model for Intrusion Detection in MANET
S Hussain, SMH Fathima
International Journal of Computational Intelligence Systems 17 (1), 1-15 2024



Enhanced Model for Medical Image Data Security Using Machine Learning
S Karthiyayini, J John Simon Christopher, I Sheik Arafat, FM Hussain
SN Computer Science 5 (8), 1-16 2024



AI Based Model for the Creation of Chatbots to Help in the Instructional Process
K Anvesh, BM Reshmi, R Karthikeyan, S Ramamoorthi, SFM Hussain
2024 2nd International Conference on Computing and Data Analytics (ICCDA), 1-6 2024



Demystifying Applications of Explainable Artificial Intelligence (XAI) in e-Commerce
SFM Hussain, R Karthikeyan, MA Jabbar
Role of Explainable Artificial Intelligence in E-Commerce, 101-116 2024



Security Assurance of the IoT Environment by Applying Machine Learning: A Survey
SFM Hussain, R Karthikeyan, S Ramamoorthi, V Balamurugan, ...
International Conference on Innovation, Sustainability, and Applied Sciences 2023



Denial of Service Attack Analysis Using Machine Learning Techniques
SFM Hussain, R Karthikeyan, S Ramamoorthi, IS Arafat, SSM Gani
2023 2nd International Conference on Edge Computing and Applications (ICECAA 2023



Enhanced protection for information and network using intrusion detection system
SFM Hussain, R Karthikeyan, S Ramamoorthi, IS Arafat, SSM Gani
2023 2nd International Conference on Edge Computing and Applications (ICECAA 2023



Drone Based Cyber-Physical System for Water Quality Monitoring in Rural Areas
S Faizal Mukthar Hussain
IN Patent 202,331,020,780 2023



A Smart Agriculture Monitoring System Based on Web of Things Finance Future Patterns in the Market Using Artificial Intelligence
Dr. M.VIJAYARAJ, M.MOHAMED SITHIK, Mr. S.A.MOHAMMED UVEISE, S.RAMAMOORTHI ...
IN Patent 202,241,046,585 2022



Facial Emotion Recognition and Detection in Python Using Deep Learning
SFMH Mr. Y. DAVID SOLOMON RAJU, Mr. BHASKAR BELAVADI, Dr. MAHANTESH K, Dr.M ...
IN Patent 202,141,058,233 2022



LOW COMPLEX MULTIAUTHENTICATION PROTOCOL FOR RESOURCE CONSTRAINT M2M COMMUNICATION IN IOT
M Abdhullah, A Ajayeswaran
Dept of Computer Science Engineering, Mohamed Sathak Engineering College 2022



Smart Patch for Remote Monitoring of COPD Patients
DPT S.Faizal Mukthar Hussain,Dr.R.Delshi Howsalaya Devi,Dr.R.Karthikeyan,Mr ...
IN Patent 202,041,056,911 2020



Performance Enhancement in Transmission Lines by Locating the Distributed Generators using Improved Particle Swarm Optimization Algorithm
SAP A. MohamedIfthikar Ali, S. Faizal Mukthar Hussain, S. Syed Musthafa Gani ...
International Journal of Innovative Technology and Exploring Engineering 2020



A NOVEL UNFORGEABLE AND FASTER DEVICE AUTHENTICATION SYSTEM WITH SMART CARD IN IoT
G Divya, MK Ishwarya
Dept of Computer Science Engineering, Mohamed Sathak Engineering College 2020



DC Motor Speed Control using Fuzzy Gain Controller with Evolutionary Algorithm
DSB Mr.S. Ramamoorthi , Mr.S. Faizal Mukthar Hussain, Mr.S. Syed Musthafa Gani
International Journal of Trend in Research and Development 6 (6), 2394-9333 2019



Efficient Equalization Work in Peer-to-Peer System
IA S.Faizal Mukthar Hussain
Asian Journal of Computer Science and Technology (AJCST) 1 (1) 2012



Processing of Location Based Queries Using Mobile Agent
SFM Hussain
SRM University 2009



Performance Enhancement in Transmission Lines by Locating the Distributed Generators using Improved Particle Swarm Optimization Algorithm
SSM Gani, S Boobalan, SA Prakash, SFM Hussain, A MohamedIfthikarAli




Design of Optimal PID Controller for LFC and AVR in Power System using PSO
SSM Gani, S Boobalan, SFM Hussain, MM Sithik, TT Kumar

MOST CITED SCHOLAR PUBLICATIONS

Enhanced protection for information and network using intrusion detection system
SFM Hussain, R Karthikeyan, S Ramamoorthi, IS Arafat, SSM Gani
2023 2nd International Conference on Edge Computing and Applications (ICECAA 2023
Citations: 8



Denial of Service Attack Analysis Using Machine Learning Techniques
SFM Hussain, R Karthikeyan, S Ramamoorthi, IS Arafat, SSM Gani
2023 2nd International Conference on Edge Computing and Applications (ICECAA 2023
Citations: 4



Enhanced Model for Medical Image Data Security Using Machine Learning
S Karthiyayini, J John Simon Christopher, I Sheik Arafat, FM Hussain
SN Computer Science 5 (8), 1-16 2024
Citations: 1