Internet of Things for Military Applications

Mishra, Lalita; Vikash,; Varma, Shirshu

doi:10.23919/indiacom49435.2020.9083730

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…It has demonstatred timely and reliable intelligence gathering and decision-making process, due to its ability to retrieve, pre-process and the availability of revelant sensed data as at when needed. This was achievedwith the support of cloudlets sited closed to the IoT sensor devices as opposed by previous research work in [10][11]. In [10], they only adopted the use of microcontrollers to retrieve data sensory data from sensors, which are known to be incompatibile with devices of high voltage power, and limited in storage and processing power resource.…”

Section: Discussionmentioning

confidence: 99%

Deployment of internet of things-based cloudlet-cloud for surveillance operations

Abel

Shafie

Chan

2021

IJ-AI

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This research proposes the design of internet of things (IoT) camera/toxic gas sensors for the surveillance of a nation’s borders. Also, a wearable radio frequency identification (RFID) tag with built-in body-temperature/heartbeat sensors, for monitoring the health status and locations of military personnel while on border patrol duty or in battlefield combats. Mobile micro-controllers are deployed to gather sensed data retrieved from the sensors/RFID tags and transmitted to a cloudlet situated at the command control center, located 200 meters away from the sensor devices. Consequently, sensed data are dispatch to the cloud data center when there is a need for offline data mining or analysis. The distinguishing feature of our proposed system from previous researches is that the health status and locations of troops (soldiers) are monitored while they are in border patrol duty or in battlefield combats. Also, the introduction of cloudlet services closer to the IoT sensor devices for collection of sensed data. This way, the sensed data or information gathered at the cloudlet will aid timely information retrieval that will speed up intelligence gathering for strategic military operations, especially in critical situations. This is an innovative attempt to apply IoT-enabled cloudlet-based cloud computing to support military operations.

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Section: Discussionmentioning

confidence: 99%

Deployment of internet of things-based cloudlet-cloud for surveillance operations

Abel

Shafie

Chan

2021

IJ-AI

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“…OpenCV, Haar features, and CNNs are highlighted for practical applications in surveillance and biometric verification [6,8,18]. Several studies propose strong ways for liveness detection to prevent spoofing attacks and ensure the dependability of biometric systems [10,11,13,15].…”

Section: Real-time Face Detection Algorithms Based Onmentioning

confidence: 99%

“…It focuses on the application of convolutional neural networks to enhance security in gamified environments. Suyash Mishra, Vikash Sharma, Subhankar Mondal, Kasam Saadesh Reddy [18] This paper describes a real-time face recognition system developed using Python and OpenCV. It focuses on security applications that prohibit unauthorised access to important areas or information.…”

Section: Real-time Face Detection Algorithms Based Onmentioning

confidence: 99%

Research Paper on Transformative Innovations in Identity Verification and Recognition

Nagtode

2024

IJSREM

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Integrating real-time human detection into identity authentication greatly improves both security and user experience. This strategy decreases fraud risk by analysing physiological and behavioural markers such as facial and eye movements. Its implementation in financial, healthcare, e-commerce, and law enforcement sectors promise to strengthen security measures. Although obstacles exist, the benefits of this human-centered approach are significant, paving the path for a safer digital future. Keywords: Identity verification, biometric authentication, digital security, real-time human detection, fraud prevention, user experience, computer vision, physiological and behavioural clues, facial and vocal patterns, banking, healthcare, e-commerce, law enforcement.

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“…The primary goals are to reduce communication overhead and energy consumption between biosensors while conveniently transmitting healthcare data and to protect patient medical data from unauthenticated and malicious nodes to improve network privacy and integrity. Mishra et al [60] presented an architecture for an e-healthcare system that employed 5G technology.…”

Section: Iomt Frameworkmentioning

confidence: 99%

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

et al. 2022

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The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities and has recently gained traction in the healthcare domain. The severely contagious respiratory syndrome coronavirus called COVID-19 has emerged as a severe threat to public health. COVID-19 is a highly infectious virus that is spread by person-to-person contact. Therefore, minimizing physical interactions between patients and medical healthcare workers is necessary. The significance of technology and its associated potential were fully explored and proven during the outbreak of COVID-19 in all domains of human life. Healthcare systems employ all modes of technology to facilitate the increasing number of COVID-19 patients. The need for remote healthcare was reemphasized, and many remote healthcare solutions were adopted. Various IoMT-based systems were proposed and implemented to support traditional healthcare systems with reaching the maximum number of people remotely. The objective of this research is twofold. First, a systematic literature review (SLR) is conducted to critically evaluate 76 articles on IoMT systems for different medical applications, especially for COVID-19 and other health sectors. Secondly, we briefly review IoMT frameworks and the role of IoMT-based technologies in COVID-19 and propose a framework, named ‘cov-AID’, that remotely monitors and diagnoses the disease. The proposed framework encompasses the benefits of IoMT sensors and extensive data analysis and prediction. Moreover, cov-AID also helps to identify COVID-19 outbreak regions and alerts people not to visit those locations to prevent the spread of infection. The cov-AID is a promising framework for dynamic patient monitoring, patient tracking, quick disease diagnosis, remote treatment, and prevention from spreading the virus to others. We also discuss potential challenges faced in adopting and applying big data technologies to combat COVID-19.

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Internet of Things for Military Applications

Cited by 9 publications

References 16 publications

Deployment of internet of things-based cloudlet-cloud for surveillance operations

Deployment of internet of things-based cloudlet-cloud for surveillance operations

Research Paper on Transformative Innovations in Identity Verification and Recognition

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

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