BITS Faculty Publications: Recent submissions

Now showing items 1-20 of 10829

A data-plane approach for detecting malware in iot networks

Haribabu, K. (IEEE, 2023-02)

Data plane where all the packet processing and forwarding is done based on control plane logic can be used to monitor the network traffic along with forwarding of the packets. Security threats have become common in IoT ...
Rational identification of suitable classification models for detecting ddos attacks in software-defined networks

Haribabu, K. (Springer, 2023-03)

Software-Defined Network (SDN) is an approach where the network architecture is divided into 3 planes, namely the control plane, the data plane, and the application plane. It represents a major step forward from traditional, ...
Early detection of DDOS attacks in networks leveraging data plane programming

Haribabu, K. (IEEE, 2023-09)

Distributed Denial of Service (DDoS) attacks are one of the most commonly used techniques to disrupt network services today. These attacks have grown in size and frequency over the past decade and commonly target DNS ...
A novel approach for energy-efficient communication in a constrained IoT environment

Haribabu, K. (IEEE, 2024-07)

In the realm of the Internet of Things (IoTs) and wireless sensor networks (WSNs), two key concerns are improving security and energy efficiency. One approach to enhancing network longevity is through the implementation ...
An energy efficient data transmission approach in smart IOT systems

Haribabu, K. (IEEE, 2024-07)

Improving energy efficiency and maximizing network longevity are two pressing issues in the Internet of Things (IoT) and wireless sensor networks (WSN). Clustering aids in enhancing energy efficiency and extending network ...
A WSN and vision based energy efficient and smart surveillance system using computer vision and ai at edge

Haribabu, K. (Springer, 2024-04)

The current traditional surveillance systems frequently fall short in delivering satisfactory quality of service, leading to frustrated user experiences. Consequently, there is a growing demand for more efficient and ...
Energy efficient data communication for WSN based resource constrained IoT devices

Haribabu, K. (Elsevier, 2024-10)

In the Internet of Things (IoTs) and wireless sensor networks (WSNs), improving security and energy efficiency are key concerns. Clustering, which involves managing cluster heads, plays a pivotal role in extending network ...
A WSN and vision based smart, energy efficient, scalable, and reliable parking surveillance system with optical verification at edge for resource constrained IoT devices

Haribabu, K. (Elsevier, 2024-12)

As urbanization accelerates, the demand for efficient parking surveillance solutions has increased. However, existing solutions often face challenges related to energy consumption, scalability, and reliability. This paper ...
Dyswitch: dynamic switching to enable secure and energy efficient data communication in resource constrained iot environmentattack detection in data plane

Haribabu, K. (Springer, 2025-04)

Numerous applications spanning smart health, smart cities, smart parking, smart agriculture, smart homes, and smart transportation rely extensively on internet of things (IoT) systems. These systems depend on the periodic ...
DDoS attack detection in data plane

Haribabu, K. (Springer, 2025-04)

Distributed Denial of Service (DDoS) attacks pose significant challenges to the availability of online services, with attackers seeking to overwhelm a target’s resources by generating an overwhelming volume of traffic from ...
Non iterative LDPC decoding by syndrome generation using artificial neural network

Phartiyal, Gopal Singh (IEEE, 2016-07)

Low density parity-check code (LDPC) is an error correcting code used in noisy communication channel (e.g. AWGN) to reduce the probability of error in information. By using LDPC codes, this probability can be made comparatively ...
A critical analysis of polarimetrie signatures on PALSAR 2 data for land cover classification

Phartiyal, Gopal Singh (IEEE, 2016)

In this paper, polarization signatures are extracted for utilization of the fully polarimetrie L-band ALOS-PALSAR 2 data. These signatures are extracted for different land cover classes (i.e., urban, water, short vegetation, ...
Optimal use of polarimetric signature on PALSAR-2 data for land cover classification

Phartiyal, Gopal Singh (IEEE, 217)

SAR data is playing key role in monitoring, the current status or change in, the land cover. For unsupervised SAR image classification, polarization signatures can play a significant role. Since it is difficult to obtain ...
Comparative study on deep neural network models for crop classification using time series polsar and optical data

Phartiyal, Gopal Singh (ISPRS, 2018-11)

Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a comparative analysis ...
A mixed spectral and spatial convolutional neural network for land cover classification using SAR and optical data

Phartiyal, Gopal Singh (EGU 2018, 2018)

Today, both SAR and optical data are available with good spatial and temporal resolutions. The two data modalities complement each other in many applications. There are numerous approaches to process the two data modalities, ...
Improved utilization of polsar polarization signatures using convolutional-deep neural nets for land cover classification

Phartiyal, Gopal Singh (IEEE, 2019-11)

Normalized Euclidean distance (NED) and normalized signature correlation mapper (NSCM) are most popularly used pattern classifiers with polarization signatures (PSs) based polarimetric synthetic aperture radar (PolSAR) ...
An improved land cover classification using polarization signatures for PALSAR 2 data

Phartiyal, Gopal Singh (Elsevier, 2020-06)

Land cover classification in mixed land cover scenarios is challenging with PolSAR data. Polarimetric decomposition techniques are most popular methods for PolSAR data classification in recent times. These techniques focus ...
Computational-vision based orthorectification and georefrencing for correct localization of railway track in UAV imagery

Phartiyal, Gopal Singh (IEEE, 2021-02)

In recent years, reliable rail track health monitoring and localization requires accurately orthorectified and georeferenced imagery. The vision-based approach is most suited for the geometrical correction of unmanned ...
Permuted spectral and permuted spectral-spatial cnn models for polsar-multispectral data based land cover classification

Phartiyal, Gopal Singh (Taylor & Francis, 2020-12)

It is a challenge to develop methods which can process the polarimetric synthetic aperture radar (PolSAR) and multispectral (MS) data modalities together without losing information from either for remote sensing applications. ...
Introducing ISAP and MATSS: mental stress induced speech utterance procedure and obtained dataset

Phartiyal, Gopal Singh (Elsevier, 2022-11)

Mental stress persisting for long can cause severe health issues. There are various approaches available in the literature for investigating stress through speech utterances. The available procedure to obtain speech under ...

Now showing items 1-20 of 10829

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