BITS Faculty Publications: Recent submissions

Now showing items 181-200 of 9816

SymSDN: A DRDoS Attack Prevention Approach

Gupta, Vishal (IEEE, 2023)

Distributed Denial of Service (DDoS) attacks are hostile attempts toward the normal functioning of a system. The attacker exploits vulnerabilities present in various systems to convert them into botnets or bots. These bots ...
Prevention of DDoS attacks: a comprehensive review and future directions

Gupta, Vishal (Taylor & Francis, 2024-05)

Distributed Denial of Service (DDoS) attacks constitute a formidable threat, obstructing access to legitimate internet services and disrupting the seamless provision of services by organizations. Despite extensive research ...
Wind speed prediction using empirical wavelet transform and bidirectional gated recurrent unit based hybrid model

Pasari, Sumanta; Gupta, Vishal (IEEE, 2024)

Accurate forecasting of wind speed is crucial for optimal extraction of energy, enabling integration of power grid, planning and management of renewable energy resources. To overcome the unpredictability of long-term trends ...
A Comprehensive Analysis of Cloud Adoption and Cloud Security Issues

Shekhawat, Virendra Singh (IEEE, 2024)

Cloud computing has expanded substantially since 2006. By 2011, cloud computing was the top technical goal for organizations worldwide, and industry studies forecast the market would reach ∃441 billion by 2024. Cloud ...
Deep Convolutional Neural Network with a Fuzzy (DCNN-F) technique for energy and time optimized scheduling of cloud computing

Shekhawat, Virendra Singh (Springer, 2024-07)

Self-adaptive deep learning techniques provide scalability and flexibility in deploying and administrating deep learning models in the cloud environment. DL is widely used in cloud computing architecture, and these methods ...
Visual Assist System With Enhanced Localization for Indoor Navigation of Visually Impaired People

Shekhawat, Virendra Singh; Gautam, Avinash; Mohan, Sudeept (IEEE, 2024-10)

Large indoor spaces having complex layouts are often difficult to navigate. Indoor spaces in hospitals, universities, shopping complexes, etc., carry multi-modal information through text and symbols. Hence, it is difficult ...
VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles

Narang, Pratik; Alladi, Tejasvi (IEEE, 2024-09)

The utilization of Connected and Autonomous Vehicles (CAVs) is on the rise, driven by their ability to provide vehicular services such as enhancing vehicle safety, aiding in intelligent decision-making, and ensuring ...
HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2024-06)

The modern Intelligent Vehicle (IV) is a complex technological marvel that heavily relies on the Controller Area Network (CAN) bus system to enable seamless communication among different electronic control units (ECUs). ...
Relationship of fractal analysis in retinal microvascularity with demographic and diagnostic parameters

Raman, Sundaresan (Elsevier, 2022-01)

Problems and diseases with eye are common in diabetic patients. Early diagnosis and detection of various diseases like retinopathy, neuropathy and nephropathy is crucial in diabetic patients. Certain demographic and ...
Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach

Raman, Sundaresan (Wolters Kluwer, 2022-09)

Infectious keratitis, especially viral keratitis (VK), in resource-limited settings, can be a challenge to diagnose and carries a high risk of misdiagnosis contributing to significant ocular morbidity. We aimed to employ ...
The Need for Artificial Intelligence Based Risk Factor Analysis for Age-Related Macular Degeneration: A Review

Raman, Sundaresan (MDPI, 2022-10)

In epidemiology, a risk factor is a variable associated with increased disease risk. Understanding the role of risk factors is significant for developing a strategy to improve global health. There is strong evidence that ...
An ImageJ macro tool for OCTA-based quantitative analysis of Myopic Choroidal neovascularization

Raman, Sundaresan (PLOS One, 2023-04)

Myopic Choroidal neovascularization (mCNV) is one of the most common vision-threatening com- plications of pathological myopia among many retinal diseases. Optical Coherence Tomography Angiography (OCTA) is an emerging ...
Machine Learning-Based Diagnosis and Ranking of Risk Factors for Diabetic Retinopathy in Population-Based Studies from South India

Raman, Sundaresan (MDPI, 2023-06)

This paper discusses the importance of investigating DR using machine learning and a computational method to rank DR risk factors by importance using different machine learning models. The dataset was collected from four ...
Use of artificial intelligence algorithms to predict systemic diseases from retinal images

Raman, Sundaresan (Wiley, 2023-05)

The rise of non-invasive, rapid, and widely accessible quantitative high-resolution imaging methods, such as modern retinal photography and optical coherence tomography (OCT), has significantly impacted ophthalmology. These ...
Optimal oversampling ratio in two-step simulation

Naidu, Srinath R. (De Gruyter, 2024-08)

This paper analyses a novel two-step Monte Carlo simulation algorithm to estimate the weighted volume of a polytope of the form Az≤T . The essential idea is to partition the columns of A into two categories – a lightweight ...
Comparative study of risk assessment models corresponding to risk elements

Gupta, Shashank (IEEE, 2012)

In the modern era of software engineering, the development of software in static and dynamic environment results in several vulnerabilities that need to be handled so that they do not step in with the clear defined project ...
BDS: Browser Dependent XSS Sanitizer

Gupta, Shashank (IGI Global, 2015)

Cross-Site Scripting (XSS) attack is a vulnerability on the client-side browser that is caused by the improper sanitization of the user input embedded in the Web pages. Researchers in the past had proposed various types ...
Efficient Service Utilization in Cloud Computing Exploitation Victimization as Revised Rough Set Optimization Service Parameters

Gupta, Shashank (Elsevier, 2015)

Cloud computing is an effort in delivering resources as a service. In cloud computing setting the role of service supplier is split into two parts as Cloud Broker and repair suppliers. The Cloud Brokermanages cloud platforms ...
A Combined Model to Ensure Complete Security and Reliability in Cloud Computing

Gupta, Shashank (WCECS, 2015)

Cloud Computing is the fastest growing technique in the IT (Information Technology) industry as its main idea is to maximising the capacity and capabilities vigorously without investing in new infrastructure and licensing ...
Digital Signature using Biometrics

Gupta, Shashank (WCECS, 2015)

It is desirable to generate a digital signature using biometrics but not practicable because of its inaccurate measuring and complex methodologies, without using specific hardware devices that hold signature keys or ...

Now showing items 181-200 of 9816

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