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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/1110
Title: On Application of Blockchain to Enhance Single Sign-On (SSO) Systems
Authors: Debajyoti Mukhopadhyay
Keywords: Artificial Intelligence; Autonomous Systems; Border Security; Intrusion Detection System; IoT; Sensor; Unmanned Aerial Vehicle
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: 4
Abstract: Borders play an integral part in a country's security, but Borders are extremely vulnerable and prone to terrorist assaults, illegal smuggling of drugs, and unauthorized immigration. To achieve improved situation analysis, it is essential to fuse sensor-based detection with drone surveillance system to aid the present surveillance system. A wide range of threats can be detected, monitored, and classified by the system, it provides real-time actionable intelligence; endures difficult environments and remote location. Defending borders from unlawful entry of individuals, guns, narcotics and illicit goods is crucial to the protection of a country, and so are ground troops. This special issue aims to give simultaneous erudite examinations of border security by conducting more focus over a specific field of inquiry involved in the securing of borders. We proposed a solution to design an architecture that supports the sharing of information from heterogeneous sources. We are using various sensors which we will install around the perimeter of an area to detect any unknown disturbance (intrusion) around it. With the help of the gathered sensor data, the drone surveillance will be automatically activated and the location of the disturbance will also be sent to the drone and the soldiers in the nearby region, which will help us to track the disturbance so that we can apprehend the treason. We will install camera in the drone which will help us for tracking the target if any. © 2021 IEEE.
URI: https://doi.org10.1109/I2CT51068.2021.9418199
http://lrcdrs.bennett.edu.in:80/handle/123456789/1110
ISSN: 9.78E+12
Appears in Collections:Conference/Seminar Papers_ SCSET

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