Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032601
Abhishek Agarwal, Riki H. Patel, A. Desai, T. Upadhyaya, Shubham Patel
In the recent years, the Textile antenna design has become an attractive research area to its persistent healthcare applications. Wearable antennas are becoming widespread and their demands are significantly increasing in the sense of their use in smart clothes in wireless communications. The use of fabrics in flexible antennas necessitates description of their properties. However, very less evidence can be establish on the electromagnetic possessions of consistent textiles. In addition, textile fabrics are porous, aelotropic and compressible materials that thickness Low pressure may change density. Consequently, it is imperative to recognize how these appearances affect the performance of the antenna to minimalize adverse effects.
{"title":"Analysis of Flexible Textile Antenna Design and Their Application for Wireless Communication: A Survey","authors":"Abhishek Agarwal, Riki H. Patel, A. Desai, T. Upadhyaya, Shubham Patel","doi":"10.1109/I-SMAC47947.2019.9032601","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032601","url":null,"abstract":"In the recent years, the Textile antenna design has become an attractive research area to its persistent healthcare applications. Wearable antennas are becoming widespread and their demands are significantly increasing in the sense of their use in smart clothes in wireless communications. The use of fabrics in flexible antennas necessitates description of their properties. However, very less evidence can be establish on the electromagnetic possessions of consistent textiles. In addition, textile fabrics are porous, aelotropic and compressible materials that thickness Low pressure may change density. Consequently, it is imperative to recognize how these appearances affect the performance of the antenna to minimalize adverse effects.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128931171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032530
B. Prabha
The industry's dynamic nature presents special challenges to fire management and occupational welfare. High infrastructure concentration and stored inventory have increased fire risks with massive losses. Internet of Things (IoT) is a framework of multiple concurrent devices that are embedded and able to function for data transmission across the Internet. It consists of all world wide web-enabled devices responsible for gathering, transmitting and functioning on information extracted from the surrounding atmosphere by utilizing sensors, detectors and computing hardware. In industrial security and control, IoT plays a major role. This research work presents a new device capable of detecting fire and providing a warning to users. To monitor the integrated devices with several sensors and a cameras, the Raspberry Pi 3 has been used. The sensors continuously sense and actually begins to broadcast values over a Wi-Fi association to the online digital server. Whenever fire is sensed, the camera starts to record the image as well as the device starts to send the message with the affected spot images. Once the explosion is sensed by the fire transmitter, this will stimulate the smoke alarm and activate a sprinkler motor. For sensor information the database can be configured by the administrator and monitored anywhere.
{"title":"An IoT Based Efficient Fire Supervision Monitoring and Alerting System","authors":"B. Prabha","doi":"10.1109/I-SMAC47947.2019.9032530","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032530","url":null,"abstract":"The industry's dynamic nature presents special challenges to fire management and occupational welfare. High infrastructure concentration and stored inventory have increased fire risks with massive losses. Internet of Things (IoT) is a framework of multiple concurrent devices that are embedded and able to function for data transmission across the Internet. It consists of all world wide web-enabled devices responsible for gathering, transmitting and functioning on information extracted from the surrounding atmosphere by utilizing sensors, detectors and computing hardware. In industrial security and control, IoT plays a major role. This research work presents a new device capable of detecting fire and providing a warning to users. To monitor the integrated devices with several sensors and a cameras, the Raspberry Pi 3 has been used. The sensors continuously sense and actually begins to broadcast values over a Wi-Fi association to the online digital server. Whenever fire is sensed, the camera starts to record the image as well as the device starts to send the message with the affected spot images. Once the explosion is sensed by the fire transmitter, this will stimulate the smoke alarm and activate a sprinkler motor. For sensor information the database can be configured by the administrator and monitored anywhere.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127054893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032507
V. K., S. D. Kumar
Scheduling the Scientific Workflows (SWf) task onto ideal cost-effective resources in a distributed system remains a significant problem that demand for auto-scaling in a cloud computing environment. Even though cloud computing has considered as a quintessential platform for scientific users to perceive deadline constrained large-scale computations. However, complexity increases with dynamic increase in network size which makes mapping of resources a NP-hard problem. To overcome this situation, a novel hybrid auto-scaling strategy is proposed. The hybrid auto-scaling comprises of on-demand and spot instances pricing model for SWf computation under deadline and budget constraint. Many auto-scaling strategy have been proposed in the earlier works, but nevertheless, there is an ample scope for new auto-scaling strategy for efficient scheduling SWf in cloud environment. Moreover, hybrid auto-scaling approach for SWf considering spot and on-demand instances pose a challenge, since the approach has to estimate the proper amount and type of virtual machine instances to acquire and dynamically allocate the number of instances under spot or on-demand pricing model depending on the SWf need. A flexible hybrid auto scaling policy is proposed for scheduling SWf efficiently. Experimental results reveal the promising potential on the proposed algorithm with regard to minimization in makespan and cost of SWf under deadline and budget constraint in cloud environment.
{"title":"Virtual Machine based Hybrid Auto-Scaling for Large Scale Scientific Workflows in Cloud Computing","authors":"V. K., S. D. Kumar","doi":"10.1109/I-SMAC47947.2019.9032507","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032507","url":null,"abstract":"Scheduling the Scientific Workflows (SWf) task onto ideal cost-effective resources in a distributed system remains a significant problem that demand for auto-scaling in a cloud computing environment. Even though cloud computing has considered as a quintessential platform for scientific users to perceive deadline constrained large-scale computations. However, complexity increases with dynamic increase in network size which makes mapping of resources a NP-hard problem. To overcome this situation, a novel hybrid auto-scaling strategy is proposed. The hybrid auto-scaling comprises of on-demand and spot instances pricing model for SWf computation under deadline and budget constraint. Many auto-scaling strategy have been proposed in the earlier works, but nevertheless, there is an ample scope for new auto-scaling strategy for efficient scheduling SWf in cloud environment. Moreover, hybrid auto-scaling approach for SWf considering spot and on-demand instances pose a challenge, since the approach has to estimate the proper amount and type of virtual machine instances to acquire and dynamically allocate the number of instances under spot or on-demand pricing model depending on the SWf need. A flexible hybrid auto scaling policy is proposed for scheduling SWf efficiently. Experimental results reveal the promising potential on the proposed algorithm with regard to minimization in makespan and cost of SWf under deadline and budget constraint in cloud environment.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115945969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032498
Sasirekha Gvk, Sai Venketesh D, A. T, A. P, Jyotsna L. Bapat, D. Das
“Things” of IoT networks could be as simple as sensors with communication interfaces or they could also be intelligent autonomous agents, capable of sensing, processing, communication and decision making. That is, things of the IoT network can also be robots. Such robotic extensions add advantages of mobility and cognition to the IoT network. Also, the merger of IoT and robotics technologies resulted in innovative applications like intelligent transport and companion robots. In this paper, we discuss the design aspects of extending an IoT testbed based on Elasticsearch, Logstash & Kibana, to accommodate robots. The issues, solutions and advantages of such extensions are described. Practical realization of this extension is shown along with an application use case of indoor environment supervision of a smart building.
{"title":"Robotic Extension to IoT Testbed for Indoor Environment Supervision","authors":"Sasirekha Gvk, Sai Venketesh D, A. T, A. P, Jyotsna L. Bapat, D. Das","doi":"10.1109/I-SMAC47947.2019.9032498","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032498","url":null,"abstract":"“Things” of IoT networks could be as simple as sensors with communication interfaces or they could also be intelligent autonomous agents, capable of sensing, processing, communication and decision making. That is, things of the IoT network can also be robots. Such robotic extensions add advantages of mobility and cognition to the IoT network. Also, the merger of IoT and robotics technologies resulted in innovative applications like intelligent transport and companion robots. In this paper, we discuss the design aspects of extending an IoT testbed based on Elasticsearch, Logstash & Kibana, to accommodate robots. The issues, solutions and advantages of such extensions are described. Practical realization of this extension is shown along with an application use case of indoor environment supervision of a smart building.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123984656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032654
Tadi Aravind, Bhimavarapu Sasidhar Reddy, S. Avinash, J. G
As Machine Learning (ML) algorithms are becoming popular to solve challenging and interesting real world prediction problems around us, the interest level of student community has been increased in learning the principles of ML and its different algorithms. This includes by implementing the commonly known machine learning algorithms and tests them by solving simple prediction problems around the student community present in educational system. In this line, this paper proposes to solve the student placement prediction problem using linear regression model, K-neighbor regression model, decision tree regression model, XGBoost regression model, gradient boost regression model, light GBM regression model and random tree classifier model. This work is carried out in two phases. The Phase 1 is done on a simple data set and the Phase 2 is done with an extended data set with added additional features about the students. This research work presents the comparative performance analysis of these seven models by implementing them with these two data sets. The performance measurements considered in this study are prediction accuracy and the root mean square error (RMSE).
{"title":"A Comparative Study on Machine Learning Algorithms for Predicting the Placement Information of Under Graduate Students","authors":"Tadi Aravind, Bhimavarapu Sasidhar Reddy, S. Avinash, J. G","doi":"10.1109/I-SMAC47947.2019.9032654","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032654","url":null,"abstract":"As Machine Learning (ML) algorithms are becoming popular to solve challenging and interesting real world prediction problems around us, the interest level of student community has been increased in learning the principles of ML and its different algorithms. This includes by implementing the commonly known machine learning algorithms and tests them by solving simple prediction problems around the student community present in educational system. In this line, this paper proposes to solve the student placement prediction problem using linear regression model, K-neighbor regression model, decision tree regression model, XGBoost regression model, gradient boost regression model, light GBM regression model and random tree classifier model. This work is carried out in two phases. The Phase 1 is done on a simple data set and the Phase 2 is done with an extended data set with added additional features about the students. This research work presents the comparative performance analysis of these seven models by implementing them with these two data sets. The performance measurements considered in this study are prediction accuracy and the root mean square error (RMSE).","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116897855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032558
Nazma Sulthana Shaik, Gayatri Ketepalli, V. N. Reddy, T. K. Reddy
Cloud computing empowers the clients to get outsourced information from cloud storage with no equipment and programming administrations. For compelling the usage of secret information from Cloud Service Provider (CSP), the information owner encodes before storing in the cloud. To secure information in cloud, information protection is a testing assignment. In order to deal this issue, a proficient information security strategy utilizing cryptographic procedures and Pk-Anonymization method is introduced. Accordingly, the proposed technique scrambles the sensitive information, as well as distinguishes the exploitative gathering to get to the information utilizing consolidated hash capacities. Anonymization is fundamental concept for bringing about assurance on users secret information. Protection of Data is likely necessary because of the control lessening system and PK-Anonymization method. Pk-Anonymization and cryptography in Cloud computing to improve data security is introduced in the proposed method.
{"title":"Cryptograhy and Pk-Anonymization Methods for Secure Data Storage in Cloud","authors":"Nazma Sulthana Shaik, Gayatri Ketepalli, V. N. Reddy, T. K. Reddy","doi":"10.1109/I-SMAC47947.2019.9032558","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032558","url":null,"abstract":"Cloud computing empowers the clients to get outsourced information from cloud storage with no equipment and programming administrations. For compelling the usage of secret information from Cloud Service Provider (CSP), the information owner encodes before storing in the cloud. To secure information in cloud, information protection is a testing assignment. In order to deal this issue, a proficient information security strategy utilizing cryptographic procedures and Pk-Anonymization method is introduced. Accordingly, the proposed technique scrambles the sensitive information, as well as distinguishes the exploitative gathering to get to the information utilizing consolidated hash capacities. Anonymization is fundamental concept for bringing about assurance on users secret information. Protection of Data is likely necessary because of the control lessening system and PK-Anonymization method. Pk-Anonymization and cryptography in Cloud computing to improve data security is introduced in the proposed method.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124466328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032693
Mrunali Chopade, Sana Khan, Uzma Shaikh, R. Pawar
The fundamental aim of digital forensics is to discover, investigate and protect an evidence, increasing cybercrime enforces digital forensics team to have more accurate evidence handling. This makes digital evidence as an important factor to link individual with criminal activity. In this procedure of forensics investigation, maintaining integrity of the evidence plays an important role. A chain of custody refers to a process of recording and preserving details of digital evidence from collection to presenting in court of law. It becomes a necessary objective to ensure that the evidence provided to the court remains original and authentic without tampering. Aim is to transfer these digital evidences securely using encryption techniques.
{"title":"Digital Forensics: Maintaining Chain of Custody Using Blockchain","authors":"Mrunali Chopade, Sana Khan, Uzma Shaikh, R. Pawar","doi":"10.1109/I-SMAC47947.2019.9032693","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032693","url":null,"abstract":"The fundamental aim of digital forensics is to discover, investigate and protect an evidence, increasing cybercrime enforces digital forensics team to have more accurate evidence handling. This makes digital evidence as an important factor to link individual with criminal activity. In this procedure of forensics investigation, maintaining integrity of the evidence plays an important role. A chain of custody refers to a process of recording and preserving details of digital evidence from collection to presenting in court of law. It becomes a necessary objective to ensure that the evidence provided to the court remains original and authentic without tampering. Aim is to transfer these digital evidences securely using encryption techniques.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032674
Tarun Jaiswal, Manju Pandey, Priyanka Tripathi
The smart city agenda has been emergent comprehensively, nevertheless it will yield additional link for smart-cities to comprehend their turn-around prospective. On that perspective, empowered by data/information, a governmental inclining socket will commence, philanthropically cities nearby the domain and glorious protagonist in the direction of civilization, generating the ‘era of the city’. This revision criticism advancement in the India by means of the four pillars of smart-cities: data/information and communication expertise, data/information, supremacy; and resident commitment, and whatever to appearance obtainable for in the afterward two eras. This study deliberates such expansions and delivers comprehensions hooked on the existing with the highest degree of development.
{"title":"IoT Empowered Smart Cities in India","authors":"Tarun Jaiswal, Manju Pandey, Priyanka Tripathi","doi":"10.1109/I-SMAC47947.2019.9032674","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032674","url":null,"abstract":"The smart city agenda has been emergent comprehensively, nevertheless it will yield additional link for smart-cities to comprehend their turn-around prospective. On that perspective, empowered by data/information, a governmental inclining socket will commence, philanthropically cities nearby the domain and glorious protagonist in the direction of civilization, generating the ‘era of the city’. This revision criticism advancement in the India by means of the four pillars of smart-cities: data/information and communication expertise, data/information, supremacy; and resident commitment, and whatever to appearance obtainable for in the afterward two eras. This study deliberates such expansions and delivers comprehensions hooked on the existing with the highest degree of development.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128591527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032628
P. Akulwar, Nataraj A. Vijapur
Multi biometrics is a significant and interesting research area. It is used in identifying individuals for security purposes and increasing security levels. Multi modal biometric provides solution over unimodal biometric system. Various approaches and methods have been studied to improve the accuracy of identification. A state-of-the-art survey on Unimodal biometric limitations, need of multi modal biometrics, conventional methods for identification and different fusion levels are discussed. The integration of machine learning in biometrics is highlighted to improve the accuracy in identification process. The biometric features taken firstly are not similar when they are taken twice. Due to these features, usage of machine learning techniques like Neural Networks, fuzzy logic, evolutionary computing etc. has developed a great demand.
{"title":"Secured Multi Modal Biometric System : A Review","authors":"P. Akulwar, Nataraj A. Vijapur","doi":"10.1109/I-SMAC47947.2019.9032628","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032628","url":null,"abstract":"Multi biometrics is a significant and interesting research area. It is used in identifying individuals for security purposes and increasing security levels. Multi modal biometric provides solution over unimodal biometric system. Various approaches and methods have been studied to improve the accuracy of identification. A state-of-the-art survey on Unimodal biometric limitations, need of multi modal biometrics, conventional methods for identification and different fusion levels are discussed. The integration of machine learning in biometrics is highlighted to improve the accuracy in identification process. The biometric features taken firstly are not similar when they are taken twice. Due to these features, usage of machine learning techniques like Neural Networks, fuzzy logic, evolutionary computing etc. has developed a great demand.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127123631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/I-SMAC47947.2019.9032442
Melkamu Kerebh Kebede, S. Pani
From the beginning of crypto currency in 2008, blockchain technology rise as progressive technology. Block chain technology was began as a core technology of bitcoin, but it is growing to numerous fields such as, security of Internet of Things (IoT), transport sector, robotics, smart energy, banking sector, industries, insurance, medical etc. Currently more businesses are moving through online system. The digitization of data can be carried through the centralization and decentralization process with higher protection. All the data can be stored through blocks with transaction history as block chain. Unfortunately, In a block chain the transaction can be simplified with peer-peer network that excludes the involvement of third party. Today as a world is going towards automation and smart objects internet of things(IoT) has gained popularity due to its usage in smart homes, smart farming, and smart city projects around world. Unfortunately, internet of things devices possess, low compatibility, high complexity, limited computing power, low security, low storage capability and network capacity therefore internet of things devices are more prone to attacks than other components such as phones, ipods, tablets, or PCs. This paper focus on identifying significant security and privacy issues for IoT, proposing anew IoT model through block chain technology and implementing the proposed model for solving IoT issues through block chain technology. Block chain technology can be a key empowering influence to take care of numerous IoT privacy and security issues. Finally describe the future work directions.
{"title":"Reshaping IOT Through Blockchain","authors":"Melkamu Kerebh Kebede, S. Pani","doi":"10.1109/I-SMAC47947.2019.9032442","DOIUrl":"https://doi.org/10.1109/I-SMAC47947.2019.9032442","url":null,"abstract":"From the beginning of crypto currency in 2008, blockchain technology rise as progressive technology. Block chain technology was began as a core technology of bitcoin, but it is growing to numerous fields such as, security of Internet of Things (IoT), transport sector, robotics, smart energy, banking sector, industries, insurance, medical etc. Currently more businesses are moving through online system. The digitization of data can be carried through the centralization and decentralization process with higher protection. All the data can be stored through blocks with transaction history as block chain. Unfortunately, In a block chain the transaction can be simplified with peer-peer network that excludes the involvement of third party. Today as a world is going towards automation and smart objects internet of things(IoT) has gained popularity due to its usage in smart homes, smart farming, and smart city projects around world. Unfortunately, internet of things devices possess, low compatibility, high complexity, limited computing power, low security, low storage capability and network capacity therefore internet of things devices are more prone to attacks than other components such as phones, ipods, tablets, or PCs. This paper focus on identifying significant security and privacy issues for IoT, proposing anew IoT model through block chain technology and implementing the proposed model for solving IoT issues through block chain technology. Block chain technology can be a key empowering influence to take care of numerous IoT privacy and security issues. Finally describe the future work directions.","PeriodicalId":275791,"journal":{"name":"2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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