ORCID Profile
0000-0002-5291-7860
Current Organisation
University of Tasmania
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: Elsevier BV
Date: 2018
DOI: 10.2139/SSRN.3166511
Publisher: Elsevier BV
Date: 2018
DOI: 10.2139/SSRN.3166511
Publisher: IGI Global
Date: 2019
DOI: 10.4018/978-1-5225-8407-0.CH019
Abstract: Due to the momentous growth in the field of Internet of Things (IoT), various commercial and government organizations are exploring possibilities of mass issuance of smart cards in different applications. Widespread deployment of smart card-based systems in heterogeneous environment would facilitate card holders to participate in these applications in a personalized manner. Despite the security features, valuable data and access to decisive services make these systems prime target for attackers. These systems can be subjected to a range of security attacks – from hardware exploitation to exploitation of software bugs, from unauthorized data access to social engineering, and so forth. In the future, where many sectors will be trying to adopt the concept of Blockchain, it will create new opportunities for benefiting citizens with enhanced security over their data. In this chapter, the author performs in-depth analysis over the role of Blockchain in securing the smart card ecosystem.
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 06-2019
Publisher: IEEE
Date: 03-2019
Publisher: IEEE
Date: 02-2018
Publisher: IGI Global
Date: 2022
DOI: 10.4018/978-1-6684-3662-2.CH064
Abstract: Rapid growth of embedded devices and population density in IoT-based smart cities provides great potential for business and opportunities in urban planning. For addressing the current and future needs of living, smart cities have to revitalize the potential of big data analytics. However, a colossal amount of sensitive information invites various computational challenges. Moreover, big data generated by the IoT paradigm acquires different characteristics as compared to traditional big data because it contains heterogeneous unstructured data. Despite various challenges in big data, enterprises are trying to utilize its true potential for providing proactive applications to the citizens. In this chapter, the author finds the possibilities of the role of big data in the efficient management of smart cities. Representative applications of big data, along with advantages and disadvantages, are also discussed. By delving into the ongoing research approaches in securing and providing privacy to big data, this chapter is concluded by highlighting the open research issues in the domain.
Publisher: Springer Singapore
Date: 2019
Publisher: Elsevier BV
Date: 2019
DOI: 10.2139/SSRN.3370169
Publisher: IGI Global
Date: 2020
DOI: 10.4018/978-1-5225-9742-1.CH009
Abstract: Rapid growth of embedded devices and population density in IoT-based smart cities provides great potential for business and opportunities in urban planning. For addressing the current and future needs of living, smart cities have to revitalize the potential of big data analytics. However, a colossal amount of sensitive information invites various computational challenges. Moreover, big data generated by the IoT paradigm acquires different characteristics as compared to traditional big data because it contains heterogeneous unstructured data. Despite various challenges in big data, enterprises are trying to utilize its true potential for providing proactive applications to the citizens. In this chapter, the author finds the possibilities of the role of big data in the efficient management of smart cities. Representative applications of big data, along with advantages and disadvantages, are also discussed. By delving into the ongoing research approaches in securing and providing privacy to big data, this chapter is concluded by highlighting the open research issues in the domain.
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-7998-5351-0.CH030
Abstract: Due to the momentous growth in the field of Internet of Things (IoT), various commercial and government organizations are exploring possibilities of mass issuance of smart cards in different applications. Widespread deployment of smart card-based systems in heterogeneous environment would facilitate card holders to participate in these applications in a personalized manner. Despite the security features, valuable data and access to decisive services make these systems prime target for attackers. These systems can be subjected to a range of security attacks – from hardware exploitation to exploitation of software bugs, from unauthorized data access to social engineering, and so forth. In the future, where many sectors will be trying to adopt the concept of Blockchain, it will create new opportunities for benefiting citizens with enhanced security over their data. In this chapter, the author performs in-depth analysis over the role of Blockchain in securing the smart card ecosystem.
Location: India
No related grants have been discovered for Ankur Lohachab.