Papers by Dr.Shailesh Deore
Anisotropy Diffusion Kuwahara filtering and Dual-discriminator D2C Conditional Generative Adversarial Network Classification on Spatio-Temporal Transportation’s Traffic images
Simulator for Swarm Feature Selection Algorithms for Classification Problem
The extensive utilization of Internet of Things (IoT) devices has revolutionized multiple sectors... more The extensive utilization of Internet of Things (IoT) devices has revolutionized multiple sectors, ranging from smart homes to industrial automation, while concurrently broadening the attack surface for cyber threats, including Distributed Denial of Service (DDoS) attacks. This study examines the efficacy of Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs) in detecting DDoS attacks, focusing on the distinct security concerns presented by IoT networks. Employing the extensive CICDDoS2019 dataset, these algorithms scrutinize individual IP flow records to attain real-time anomaly identification with elevated precision. The evaluation results reveal that both CNN and LSTM models exhibit strong performance, with CNNs showing enhanced precision (99.42%) and F1-score (99.26%) due to their capacity to extract spatial patterns from multidimensional traffic data. Although LSTMs are proficient in capturing temporal dependencies, their elevated computing demands render them less appropriate for realtime applications in resource-limited IoT settings. This paper emphasizes CNNs as a scalable and efficient option for IoT network defence and advocates for more research into hybrid deep learning architectures to improve anomaly detection.
Dual-discriminator conditional Giza pyramids construction generative adversarial network based traffic density recognition using road vehicle images
International Journal of Machine Learning and Cybernetics
Traffic density recognition is a computer vision task that involves detecting and estimating the ... more Traffic density recognition is a computer vision task that involves detecting and estimating the density of vehicles in a given traffic scene. Traffic jam is a problem regularly faced by the public, mainly those living in crowded cities. For effective traffic management and signal control, it is necessary to know the road traffic density, particularly in overcrowded cities. Several methods were proposed for traffic density recognition, but the existing approaches inaccurately recognize the traffic density. Therefore, a Dual-discriminator Conditional giza pyramids construction Generative Adversarial Network based-Traffic Density Recognition (DCGAN-TDR) using road vehicle images is proposed for effective homogeneous and heterogeneous traffic density recognition. The input data is taken from the road vehicle images dataset, and its undesirable noises are removed with the help of anisotropic diffusion kuwahara filtering based preprocessing. For effective segmentation, the hesitant fuzzy linguistic bi-objective clustering method is used. Then the histogram of block multi-scale uniform local binary pattern is used for local feature representation, and for feature reduction two-directional two-dimension principal component analysis is used. The Dual-discriminator Conditional Generative Adversarial Network (DCGAN) is used to classify the data as homogeneous and heterogeneous. Giza pyramids construction optimization is used to optimize the loss function of DCGAN to reduce the loss function and to enhance the accuracy. Then, the performance metrics such as accuracy, precision, recall, computational time and loss are evaluated to estimate the efficiency of the proposed method.
A Cloud Computing is a promising paradigm for life of software and there survive. A lot of indust... more A Cloud Computing is a promising paradigm for life of software and there survive. A lot of industries, companies and institutes decide to take benefits of their own cloud environments such as Infrastructure as a Service, Software as a Service, Platform as a Service which is heart of cloud computing. A Scheduler is required to schedule number of virtual machine as per virtual machine request from consumer. Scheduler schedules number of virtual machine request such that to save maximum energy and achieve greater degree of load balancing and less resource utilization. In this paper we review research work which is recently proposed by researchers on base of energy saving scheduling techniques which are recently developed.
A Scheduler is main role to schedule number of virtual machines VMs as per virtual machines reque... more A Scheduler is main role to schedule number of virtual machines VMs as per virtual machines request VMr from cloud consumer. Scheduler schedules number of virtual machines VMs requests call Lease such as conserve maximum amount of energy, achieves greater scale of load balancing and less resource utilization with less time less efficiency. In this paper we review scheduling schemes in private cloud environments which is recently proposed in our previous work on base of Energy Efficient.
International Journal of Applied Information Systems, 2013
Cloud Computing is a promising paradigm in deployment of software and there survive. Computer res... more Cloud Computing is a promising paradigm in deployment of software and there survive. Computer researcher says a magnificent sentence, cloud computing is next generation operating system. Technologies such as cluster, grid, and now, cloud computing, have all aimed at allowing entrance to large amounts of computing power in a fully virtualized, paravirtulized manner. The Energy efficiency of information and communication technology becomes more and more vital due to elevate of energy costs and the world wide desire to decrease CO2 emissions [13],[14]. In this paper we argues energy-efficient job scheduling and allocation scheme that minimize number of hosts, so amount of energy conserve.
International Journal of Computer Applications, 2012
A Cloud Computing is a promising paradigm for life of software and there survive. A lot of indust... more A Cloud Computing is a promising paradigm for life of software and there survive. A lot of industries, companies and institutes decide to take benefits of their own cloud environments such as Infrastructure as a Service, Software as a Service, Platform as a Service which is heart of cloud computing. A Scheduler is required to schedule number of virtual machine as per virtual machine request from consumer. Scheduler schedules number of virtual machine request such that to save maximum energy and achieve greater degree of load balancing and less resource utilization. In this paper we review research work which is recently proposed by researchers on base of energy saving scheduling techniques which are recently developed.
International Journal of Computer Applications, 2012
A Cloud Computing is subscription-based service where we obtain networked storage space and compu... more A Cloud Computing is subscription-based service where we obtain networked storage space and computer resources. Technologies such as cluster, grid, and now cloud computing are decide allowing access large amounts computing power in fully, para-virtulized manner by amassed resources i.e. virtual machines to consumer. Cloud computing denotes energy efficiency in all components of computing systems that is hardware, software, local area network. Energy computing has to achieve manifold objectives of energy consumption and utilization improvement for computing paradigm that are not pay-per-use such as cluster and grid revenue maximization as another metric for cloud computing architecture. Microsoft Corporation provides Joule meter tool to measuring energy of computing software devices, for researcher to observe energy conservation and consumption [10],[14]. This paper we proposed Energy-Efficient Scheduling Scheme call EESS for virtual machines that distribute maximum workload on minimum number of virtual machine's so less amount of energy consume, to test the scheme cloud environment created using VirtualBox.
International Journal of Applied Information System , 2012
Cloud Computing is a promising paradigm in deployment of software and there survive. Computer res... more Cloud Computing is a promising paradigm in deployment of software and there survive. Computer researcher says a magnificent sentence, cloud computing is next generation operating system. Technologies such as cluster, grid, and now, cloud computing, have all aimed at allowing entrance to large amounts of computing power in a fully virtualized, paravirtulized manner. The Energy efficiency of information and communication technology becomes more and more vital due to elevate of energy costs and the world wide desire to decrease CO2 emissions [13],[14]. In this paper we argues energy-efficient job scheduling and allocation scheme that minimize number of hosts, so amount of energy conserve.
International Journal of Computer Application , 2012
A Cloud Computing is subscription-based service where we obtain networked storage space and compu... more A Cloud Computing is subscription-based service where we obtain networked storage space and computer resources. Technologies such as cluster, grid, and now cloud computing are decide allowing access large amounts computing power in fully, para-virtulized manner by amassed resources i.e. virtual machines to consumer. Cloud computing denotes energy efficiency in all components of computing systems that is hardware, software, local area network. Energy computing has to achieve manifold objectives of energy consumption and utilization improvement for computing paradigm that are not pay-per-use such as cluster and grid revenue maximization as another metric for cloud computing architecture. Microsoft Corporation provides Joule meter tool to measuring energy of computing software devices, for researcher to observe energy conservation and consumption [10],[14]. This paper we proposed Energy-Efficient Scheduling Scheme call EESS for virtual machines that distribute maximum workload on minimum number of virtual machine's so less amount of energy consume, to test the scheme cloud environment created using VirtualBox.
International Journal of Computer Application , 2012
A Cloud Computing is a promising paradigm for life of software and there survive. A lot of indust... more A Cloud Computing is a promising paradigm for life of software and there survive. A lot of industries, companies and institutes decide to take benefits of their own cloud environments such as Infrastructure as a Service, Software as a Service, Platform as a Service which is heart of cloud computing. A Scheduler is required to schedule number of virtual machine as per virtual machine request from consumer. Scheduler schedules number of virtual machine request such that to save maximum energy and achieve greater degree of load balancing and less resource utilization. In this paper we review research work which is recently proposed by researchers on base of energy saving scheduling techniques which are recently developed.
Journal of Data Acquisition and Processing, 2023
Distributed denial of service (DDOS) assaults are among the most serious threats to network secur... more Distributed denial of service (DDOS) assaults are among the most serious threats to network security. This attack can cause even more destruction if it is carried out in a widespread manner. Many studies have been conducted to identify this attack. Various strategies have been examined and discussed in this. Deep learning and machine learning approaches received the majority of attention.
Journal of Data Acquiiation ANd Processing, 2023
Spatio-temporal transportations have various issues like traffic congestion, weather and wind dir... more Spatio-temporal transportations have various issues like traffic congestion, weather and wind direction. The measure problem is to prevent from traffic based accidents. The traffic may be in homogenous and heterogeneous format. In this paper the complete focus is based on heterogeneous traffic flow. In first stage we studied various research and we studied deep convolution network for identifying and measures the traffic accidents and developed a unique spatiotemporal graph-based model for predicting the probability of future traffic accidents. We used hybrid approach to improve the reliability and sustainability of large-scale networks through improving both recurrent and non-recurrent traffic conditions.
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Papers by Dr.Shailesh Deore