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Suchetana Chakraborty

Bio: Suchetana Chakraborty is an academic researcher from Indian Institutes of Information Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 6, co-authored 25 publications receiving 105 citations. Previous affiliations of Suchetana Chakraborty include Indian Institute of Technology Guwahati.

Papers
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Proceedings ArticleDOI
01 Dec 2018
TL;DR: A blockchain based novel architecture for vehicle authentication and privacy preservation with seamless access control for IoV and the proposed BlockAPP protocol also supports an optional traceability feature.
Abstract: Recent proliferation in disruptive technologies has opened up a new horizon for Internet of Vehicles (IoV). The success of IoV highly depends on the robustness of vehicular information system as a dispute among the service providers on data rights or any kind of security violation could disrupt the transport services altogether. In this work we propose a blockchain based novel architecture for vehicle authentication and privacy preservation with seamless access control for IoV. Proposed architecture is decentralized, robust and scalable. Along with privacy preserving authentication and conflict-free access-log maintenance, the proposed BlockAPP protocol also supports an optional traceability feature. Performance evaluation using smart contact over Ethereum Blockchain validates the effectiveness of the proposed architecture.

35 citations

Proceedings ArticleDOI
01 Sep 2018
TL;DR: B2VDM, a novel architecture for vehicular data management at RSUs, that provides a seamless access control using Blockchain technology is introduced that maintains the reliability by minimizing the number of packet drops at a heavily loaded RSU during peak hours.
Abstract: Smart interconnected vehicles generate a huge amount of data to be used by a wide range of applications. Although cloud based data management is currently in practice, for many applications serving road safety or traffic regulation, it is utmost important that applications access these data at the site itself for improved quality of service. Road side units (RSUs) play a crucial role in handling these vast amount of vehicular data and serving the running applications in turn. In this current era of edge computing, in-place data access is also proven to be advantageous from cost point of view. As multiple applications from different service providers are interested to access different fragments of these data, a robust access control mechanism is needed to ensure desired level of security as well as reliability for these data. In this paper, we introduce B2VDM, a novel architecture for vehicular data management at RSUs, that provides a seamless access control using Blockchain technology. The proposed B2VDM framework also implements a simple load distribution module, which maintains the reliability by minimizing the number of packet drops at a heavily loaded RSU during peak hours. An extensive evaluation using Etherium Blockchain validates the effectiveness of the proposed architecture.

17 citations

Proceedings ArticleDOI
24 Aug 2011
TL;DR: A novel scheme has been proposed to locally repair the tree with constant round of message transmissions to ensure the correct delivery of messages in a query-response based application.
Abstract: Query driven Broadcast through wireless sensor nodes also leads to the domain of event driven converge cast. A query-response based application in Wireless Sensor Networks(WSN) demands the correct delivery of data message at each sensor node. A Breadth-First Search(BFS) tree rooted at the base station offers shortest path traversal for each data message which utilizes the sensor resources efficiently. Resource constrained sensor nodes are highly prone to sudden crash. So the application demands a quick and smart approach to repair the tree when a node dies. In this paper a novel scheme has been proposed to locally repair the tree with constant round of message transmissions. Each node piggybacks a few bytes of extra information along with each query and response messages. Based on these piggybacked values each node calculates its alternate parent. When a parent node fails, its children can contact their respective alternate parents immediately to establish an alternate path to the root. Reduced communication cost in terms of extra message transmissions saves battery power at each node. Efficient query-response message handler ensures the correct delivery of messages. Fast repairing offers good Quality of Service(QoS). Simulation result shows that no message is lost except the one holding by the crashed node.

13 citations

Proceedings ArticleDOI
01 Jan 2019
TL;DR: This work treats HAR data stream, generated from a smart home setup, as a series of events and applies LSTM to perform feature extraction and annotation accuracies, which is 13.6% better than other state-of-the-art solutions.
Abstract: Driven by the growth in ubiquitous sensor networks and IoT, Human Activity Recognition (HAR) has emerged to be an exciting challenge. Popular machine learning approaches proposed in this direction have shown promise with modest performance. Treatment of HAR data in a recurrent form, and subsequent analysis using deep networks such as RNNs/LSTM is largely unexplored. In this work, we treat HAR data stream, generated from a smart home setup, as a series of events and apply LSTM to perform feature extraction. We use the Aruba dataset from the CASAS project [4], where we apply LSTM to extract features and perform annotations. We then apply standard classification techniques to recognize the different activities in the newly annotated data. We observe that, using our method we can achieve annotation accuracies of up to 79.5% which is 13.6% better than other state-of-the-art solutions.

9 citations

Proceedings ArticleDOI
10 Nov 2011
TL;DR: A tree based broadcast mechanism is proposed that constructs a spanning tree out of all nodes in the network rooted at the source of the broadcast that saves the battery power at each node by reducing the number of packet transmissions.
Abstract: A reliable broadcast demands that each data packet forwarded from the source node is received by all other nodes in the network without any loss A flooding based Broadcast scheme incurs significant overhead due to explosion of packets in the network So an efficient way of routing packets in order to broadcast saves the energy of resource constrained sensor nodes The delivery of broadcast packets at each node in correct sequence is also crucial for certain applications In this paper a tree based broadcast mechanism is proposed that constructs a spanning tree out of all nodes in the network rooted at the source of the broadcast The broadcast tree eventually becomes a Breadth-First Search(BFS) tree where each node maintains the shortest path to the root So packets routed through the shortest paths reduce transmission delay and packet loss BFS tree based broadcast saves the battery power at each node by reducing the number of packet transmissions The proposed scheme for broadcast is also crash tolerant Each node computes a maintenance plan during the broadcast tree construction for future requirement If a node dies, all the nodes in neighborhood repairs the tree locally within constant round of message transmissions Each broadcast packet is assured to be delivered at each node without redundancy and maintaining the correct order

8 citations


Cited by
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Journal ArticleDOI
TL;DR: A state-of-art survey on the integration of blockchain with 5G networks and beyond, including discussions on the potential of blockchain for enabling key 5G technologies, including cloud/edge computing, Software Defined Networks, Network Function Virtualization, Network Slicing, and D2D communications.

244 citations

Journal ArticleDOI
TL;DR: The aim of this survey is to provide directions for future work in the area of Blockchain-based vehicular networks, and existing research works aiming to overcome vehicular challenges using the Blockchain technology are presented and compared.

67 citations

Journal ArticleDOI
TL;DR: A detailed comparative analysis reveals that the proposed scheme achieves superior security and functionality features, and offers comparable storage, communication and computational costs as compared to other existing competing schemes.

63 citations

Journal ArticleDOI
TL;DR: A novel blockchain-enabled model sharing approach is proposed to improve the performance of object detection with cross-domain adaptation for autonomous driving systems using a domain-adaptive you-only-look-once (YOLOv2) model.
Abstract: Object detection for autonomous driving is a huge challenge in the cross-domain adaptation scenario, especially for the time- and resource-consuming task. Distributed deep learning (DDL) has demonstrated a considerably good balance between efficiency and computation complexity. However, the reliability of DDL is low. Moreover, the cost of training data and model is not priced well. In this article, a novel blockchain-enabled model sharing approach is proposed to improve the performance of object detection with cross-domain adaptation for autonomous driving systems. Based on the blockchain and mobile-edge computing (MEC) technology, a domain-adaptive you-only-look-once (YOLOv2) model is trained across nodes, which can reduce significantly the domain discrepancy for different object categories. Furthermore, smart contracts are developed to perform data storage and model sharing tasks efficiently. The reliability of model sharing is ensured with blockchain consensus. We evaluate the proposed method under public data sets. The simulation results demonstrate that the efficiency and reliability of the proposed approach are better than the reference model.

59 citations