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Publications
Publications (70)
The Internet of Medical Things (IoMT) has transformed healthcare by connecting medical devices, sensors, and patients, significantly improving patient care. However, the sensitive data exchanged through IoMT is vulnerable to security attacks, raising serious privacy concerns. Traditional key sharing mechanisms are susceptible to compromise, posing...
VANET routing has become a very popular area of research as it lays the foundation for the intelligent transportation system (ITS). In VANET, the mobility of the vehicle is high hence the network is dynamic. Therefore, the connectivity between the two vehicles and the roadside unit (RSU) keeps changing, increasing the links dynamics and affecting t...
Wireless Body Area Network (WBAN) has become a reality where patient health conditions can be monitored remotely. Lightweight small sensor devices gather the health parameters and transmit the data to a remotely located medical facility. These kinds of resource-constrained networks are prone to several routing attacks, which can disrupt the whole n...
Wireless communication Technology is very fast emerging for deploying and developing new as well as traditional applications. Most people are doing research on the Internet of Vehicles (IoV). Vehicular ad hoc Network (VANET) is a part of IoV, It scopes to reach internet access to make use of the available service on the road along with the improvem...
Internet of Things (IoT)-based health monitoring system is centred on continuous, real-time monitoring of the health of individuals. The emergence of IoT-enabled healthcare devices is rapidly changing the health infrastructure. IoT-enabled technologies can facilitate an effortless interaction among different devices and platforms. Smart health moni...
With the rapid advancement of digital technologies, the electronic health record is not a concept but a reality. Electronic health records (EHR) are the patients’ health information that are stored for further reference. These recorded data in the form of electronic media are known as electronic health records and contain sensitive information abou...
The internet of medical things is one of the popular application of internet of things (IoT) where various small medical devices are interconnected with each other to share sensitive data. But IoT device and network are vulnerable to several security attacks such as sniffing, spamming, flooding etc. initiated by Botnets which is a major problem for...
Transition-aware activity recognition is an inherent component of online health monitoring and ambient assisted living. An explosion of technology breakthroughs in wireless sensor networks, wearable computing, and mobile computing has facilitated this. However, real time, dynamic activity recognition is still challenging in practice. As reported in...
In this work, energy efficient routing protocol variants considering different sink mobility in hierarchical cluster based wireless sensor network have been designed and implemented. WSN is a resource hungry network, especially the sensor nodes have limited energy source besides memory, computation power etc. Sensor generated huge traffic in terms...
Providing data connectivity seamlessly without any kind of interruption is one of the compulsory requirements of sensor-based remote health monitoring system. It is therefore an important topic for research in modern times. It should support mobility handling as well as patients’ movement equally as patient may move to different places at different...
Health monitoring using Body Area Wireless Sensor Network (BA-WSN) has gained immense popularity due to usability, ubiquitous support, and real-time performance. It is a special kind of Wireless Sensor Network (WSN) that spans over the human body. Although BA-WSN is very useful but it may suffer from security and privacy issues due to compromised s...
This paper presents machine learning and metaheuristic algorithms based hybrid intelligent Intrusion Detection System (HIIDS) for Internet of Things based applications such as healthcare. In IoT based smart healthcare, biomedical sensors sense vital health parameters which are sent to the cloud server for storage and analysis. Health data saved as...
This research revealed a reliable hemiplegia gait monitoring strategy to help medical practitioners in keeping track of a patient’s status. Although numerous technologies have been utilized in the past to collect motion data from patients, the high costs and huge spaces required make them challenging to use in a home setting for rehabilitation. A t...
Human activity recognition (HAR) is an eminent area of research due to its extensive scope of applications in remote health monitoring, sports, smart home, and many more. Smartphone-based HAR systems use high-dimensional sensor data to infer human physical activities. Researchers continuously endeavor to select pertinent and non-redundant features...
Human Activity Recognition (HAR) is an eminent area of research due to its extensive scope of applications in remote health monitoring, sports, smart home, and many more. Smartphone-based HAR systems use sensor data to infer human physical activities. Extraction of pertinent and essential features to identify human activities is a crucial but chall...
Health monitoring systems based on Sensors, IoT and Cloud server have gained popularity in recent time. In this work patient either wear small sensors or they are placed inside their body through the surgical means. They will sense health vitals and transmit them to central server for processing and storage. Doctors can remotely access the data at...
Wireless sensor network has vast applications in different fields. One of the major applications is of WSN is in healthcare sector. Tiny sensor nodes are used to collect physiological data from the patients. Collected data are then sent to the doctor’s server maintained in a remote cloud through analysis. This is one of the most popular smart healt...
Use of electronic devices has increased many times in our daily life. It is used for many purposes including healthcare. Small sensor devices on patients’ body that reads patients’ physiological data and send those data to a remote server. Doctors and other healthcare professionals can view this data sitting at their home. Thus remote health monito...
The self-regulated recognition of human activities from time-series smartphone sensor data is a growing research area in smart and intelligent health care. Deep learning (DL) approaches have exhibited improvements over traditional machine learning (ML) models in various domains, including human activity recognition (HAR). Several issues are involve...
India's health infrastructure is under pressure since the daily COVID-19 cases have crossed the milestone of 4 Lakhs cases per day which surpass the previous years' peak. Patients with mild symptoms have been advised for home treatment since most of the hospitals are running out of bed. In this situation delivering healthcare to people has become r...
The growth of world population and tremendous urbanization initiatives has posed an important challenge to sustainable agriculture. To efficiently utilize the land to yield maximum produce, IoT based smart agriculture monitoring systems are an absolute necessity today. The sensing and actuator modules deployed as part of such systems are responsibl...
Delivering health care to people has become revolutionizing due to the technological advancement of embedded systems and medical devices. Integration of different health sensors, handheld devices and the Internet can be a great potential for significant improvement of the quality of remote health care. Physiological sensor devices used for monitori...
Human Activity Recognition (HAR) has attracted great attention from the researchers in pervasive computing for smart healthcare. Patients with cardiac disease, obesity, diabetes have to perform some routine physical exercises as a treatment of their disease. Some of the mental disorder patients have to monitor their daily physical activities to pre...
Nowadays with the fast evolution of technology, smart healthcare plays a vital role to provide medical assistance to the patients from distant places, and checking large groups of people in a locale or country for detection and prevention of epidemics. Data handling of a critical patient is a challenging aspect for a smart healthcare system. Conven...
The Internet of Things (IoT) ecosystem is gradually changing our activities and social interactions through the wide scale of applications it offers. However, these applications rely on the networking protocol stack where the application layer of the stack is implemented differently by different applications. As a result, a variety of data represen...
Remote health monitoring framework using wireless body area network with ubiquitous support is gaining popularity. However, faulty sensor data may prove to be critical. Hence, faulty sensor detection is necessary in sensor-based health monitoring. In this paper, an artificial neural network (ANN)-based framework for learning about health condition...
Today’s era is the era of smart and remote applications exploiting advancement in sensors, cloud, Internet of things etc. Major application is in healthcare monitoring and support using wireless body area network (WBAN) in which sensor nodes sense vital physiological parameters and send to server through sink i.e. smart phone nowadays for seamless...
Due to the successful emergence of internet of things, sensor-based real-time health monitoring is getting popularized. A usable health-monitoring system is required for prolonged monitoring of the patient with reduced cost. This paper describes a working prototype system for real-time health-monitoring system using DS18B20 temperature sensor, Ardu...
In India, the first confirmed case of novel corona virus (COVID-19) was discovered on January 30, 2020. The number of confirmed cases is increasing day by day, and it crossed 21,53,010 on August 9, 2020. In this paper, a hybrid forecasting model has been proposed to determine the number of confirmed cases for upcoming 10 days based on the earlier c...
Combination of meta-heuristics approaches and machine learning techniques have revolutionized the field of Internet of Things (IoT) based smart monitoring applications. Sensors are the eyes of IoT and hence, data analysis based on sensor fusion can explore meaningful insight in making these IoT based applications smart. Such systems can solve compl...
The technological ecosystem built up with the collaboration of sensors, smartphones, Cloud, Internet of Things (IoT), machine learning, deep learning, etc., functions toward societal benefit in terms of smart healthcare to world population irrespective of demography. IoT-based healthcare is getting immensely popularized because it is cost-effective...
Intelligent and smart health monitoring is prevalent nowadays with the support of advancement in Internet of Things, machine learning, and ontology-based decision support systems. As a decision support system can analyze current patient vitals based on historical data, effective data representation from different data sources into a common knowledg...
Today's computational model has been undergoing a huge paradigm shift from personalized, local processing using local processing unit (LPU) to remote processing at cloud servers located globally. Advances in sensor-based smart applications such as smart home, smart health, smart transport, smart environment monitoring, etc. are generating huge data...
The Internet of Things (IoT) has gained popularity in recent years in various research domains for application in real-life problems such as healthcare, precision farming, and surveillance. The IoT in combination with machine learning (ML) techniques can give better results. Further, metaheuristic techniques are used to handle heterogeneous data an...
In India, the first confirmed case of novel corona virus (COVID-19) was discovered on 30 January, 2020. The number of confirmed cases is increasing day by day and it crossed 21,53,010 on 09 August, 2020. In this paper a hybrid forecasting model has been proposed to determine the number of confirmed cases for upcoming 10 days based on the earlier co...
IoT based applications such as smart healthcare, transportation, surveillance etc. lead to more convenient and healthy lifestyle to human being nowadays. Biosensors sense health vitals and send acquired data to cloud server for processing. These huge sensory health data need to be processed and analyzed efficiently and intelligently for knowledge e...
Sensor-based health data collection, remote access to health data to render real-time advice have been the key advantages of smart and remote healthcare. Such health monitoring and support are getting immensely popular among both patients and doctors as it does not require physical movement which is always not possible for elderly people who lives...
Recommender Systems have become essential in personalized healthcare as they provide meaningful information to the patients depending on the specific requirements and availability of health records. With the improvement of machine learning techniques, the recommender system brings about several opportunities to the medical science. Systems can perf...
Today's computational model has been undergoing a huge paradigm shift from personalized, local processing using local processing unit (LPU) to remote processing at cloud servers located globally. Advances in sensor-based smart applications such as smart home, smart health, smart transport, smart environment monitoring, etc. are generating huge data...
Wearable or implantable sensor based remote health monitoring and support systems are gaining huge popularity because of its accuracy, affordability, mobility support and remote nature. For seamless monitoring, energy efficiency of Medical Body Sensor Network (MBSN) must be high to stretch out network lifetime. For single hop MBSN with STAR topolog...
Human activity recognition is an important technology in pervasive computing as it provides valuable information for smart healthcare and assisted living applications. Use of smartphones for activity recognition poses new challenges due to variation in hardware configuration and usage behaviour like how the smartphone is kept. Only a few recent wor...
Human activity recognition is increasingly used for medical, surveillance and entertainment applications. For better monitoring, these applications require identification of detailed activity like sitting on chair/floor, brisk/slow walking, running, etc. This paper proposes a ubiquitous solution to detailed activity recognition through the use of s...
Wireless Body Area Networks consist of low power lightweight wearable and/or implantable sensor nodes that are often placed remotely for applications like ubiquitous health care, military, sports, entertainment and many other areas. Depression is becoming a common problem in human beings. In this paper the proposed work presents a framework to moni...
Wireless sensor networks consist of low power lightweight sensor nodes that are often placed remotely for applications like wildlife monitoring, rainforest monitoring, military surveillance, forest fire detection etc. Here energy is a critical issue as nodes cannot be recharged and/or replaced frequently. In this paper we propose an energy efficien...
In this paper, we propose a solution for detecting and avoiding black hole attacks (both single and cooperative) and ensuring secure packet transmission along with efficient resource utilization of mobile hosts at the same time. According to our proposal, evaluation of trust of every node in the network is based on parameters such as stability of a...
In this work, we propose a trust based secure checkpointing and recovery technique in Mobile Adhoc Network (MANET). In resource constrained MANET, ensuring secure checkpointing using cryptography increases overhead and consumption of resources. Hence additional overhead of secure checkpointing should be minimized. Here proposed trust model is combi...
Proposed work is a mobility based checkpointing and trust based rollback recovery algorithm to provide fault tolerance in Mobile Ad hoc Network (MANET). Here each mobile host maintains a count of number of clusters a mobile host traverses through, during a single checkpoint interval. A mobile host increments 'cluster-change-count' by 1, each time i...
In this paper we propose a new mobility aware checkpointing and failure recovery algorithm for cluster based mobile ad hoc network (MANET). Here we introduce a parameter ‘cluster-change-count’, maintained by each member node to count number of clusters a mobile node traverses through during a single checkpoint interval. A mobile node increments ‘cl...
A secure checkpointing algorithm for resource constrained and failure prone mobile computing system is proposed here. A mobile node saves checkpoint of processes running on it. If a process fails then it recovers from last saved checkpoint due to security attack. Today's e-commerce is getting converted to m-commerce where mobile devices are used to...
Checkpointing algorithms in mobile computing systems suffer from security attacks. Checkpoint data being stored in stable storage or being transferred over the wireless network is the source of information leakage. Secured Checkpointing comes with computational and storage overhead. In resource constrained mobile computing systems overhead optimiza...
Mobile hosts are failure prone. An efficient checkpointing technique and a failure recovery scheme together can make a mobile computing system fault-tolerant. For efficient recovery, information of a mobile host should be kept in an organized manner. Efficiency of a recovery scheme can be measured in terms of time and cost. Mobile hosts move random...
