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Chikkamannur, Ajeet A.
- Study of Resource Discovery trends in Internet of Things (IoT)
Authors
1 Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, IN
2 Department of Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapur, IN
Source
International Journal of Advanced Networking and Applications, Vol 8, No 3 (2016), Pagination: 3084-3089Abstract
Internet of Things (IoT) ecosystem is progressing at an enormous speed with interconnection of various heterogeneous smart devices. IoT computing paradigm is different from the traditional system where the end users are well aware about the software installed on their personal devices and their services. However, in IoT, people may not be aware about the available resources, services and capabilities provided in an open public space. Thus there is a need for strong interaction between things and people in IoT. Automatic resource discovery forms the core functionality for configuration and maintenance of the deployed objects and integration of new devices with least human intervention. In this paper, we present the current resource discovery, service technologies in IoT and their advantages and shortcomings. A comprehensive view of the various challenges involved in resource discovery and service integration in IoT ecosystem is analyzed. The insight for future research, standardization of work is provided.Keywords
COAP, IoT, Resource Discovery, Services, Semantics.- SECURE:An Ameliorated SQL Semiotic for Security
Authors
1 Department of Computer Science and Engineering, R. L. Jalappa Institute of Technology, Bangalore 561203, IN
2 Department of Information Science and Engineering, Vemana Institute of Technology, Bangalore 560034, IN
Source
International Journal of Advanced Networking and Applications, Vol 8, No 6 (2017), Pagination: 3290-3293Abstract
The Information Systems, Databases are vital and critical in the arena of Business, Enterprise, Governance etc., for the decision making. Further, the Information Systems are designed to reach maximum number of people for interaction with system. This intent of system usage appears to be resourceful but the identification of reliable users of system has challenged the technocrats
Most of the applications uses relational data base system (RDBMS) for the database support but with intelligent exploitation of vulnerability in Structured Query Language (SQL) of RDBMS, the dishonest people are interested in manipulation or processing of the data for business value reduction or damage
This paper attempts to endow with security to a relational database system by the inclusion of newly designed semiotic to keyword SECURE into a lexicon of SQL. Then the semiotic is articulated in relational algebraic expression for current query engine execution.
Keywords
Query, Security, Relation, Set Difference, Semiotic.References
- Ajeet Chikkamannur, “Design of Fourth Generation Language with Blend of Structured Query Language and Japanese Basic English”, Ph.D. thesis, Visvesvarya Technological University Belgaum, 2013
- Ajeet Chikkamannur, Shivanand Handigund, “A Concoct Semiotic for Recursion in SQL”, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), ISSN: 2278-6856, Vol. 2, Issue 3, page 204-210, June 2013
- Ajeet Chikkamannur, Shivanand Handigund, “Automated Methodology to Reduce the Redundancy in Relational Database”, Elixir Comp. Science. & Engineering 61, ISSN: 2229-712X, page 16946-16949, August, 2013
- Ajeet Chikkamannur, Shivanand Handigund, “An Ameliorated Methodology for Ranking the Tuple” International Journal of Computers and Technology(IJCT), Vol 14, No. 4, pp 5616-5620, January 2015
- Amit Chaturvedi et al, “Analysis of SQL Injections Attacks and Vulnerabilities”, International Journal of Advanced Research in Computer Science and Software Engineering ,Volume 6, Issue 3, 2016
- Atefeh Tajpour et al, “SQL Injection Detection and Prevention Techniques” International Journal of Advancements in Computing Technology, Vol 3, Issue 7, pp 82-91, DOI: 10.4156/ijact.vol3.issue7.11, 2011
- C. J. Date, A. Kannan, S. Swaminathan, “An Introduction to Database Systems”, 8th Edition, Pearson Education (Dorling Kindersley (India) Pvt. Ltd.), 2008.
- E.F. Codd, "A Relational Model of Data for Large Shared Data Banks", Comm. ACM 12 (6), page 377-387, 1970
- Semantic Ontology based IoT-Resource Description
Authors
1 Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, IN
2 Department of Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapur, Bangalore, IN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 1 (2019), Pagination: 4184-4189Abstract
Internet of Things (IoT) ecosystem is progressing at an enormous speed with interconnection of various heterogeneous smart devices. Web Semantics has standardized with its numerous technologies. IoT resources discovery, interoperatibility, QOS services, availability can be modeled by integrating semantics, to these IoT resources and their data. Integrating semantics with IoT has numerous challenges and lacks standardization in various domains. In this paper, we present the current web semantic technologies and their adaption in IoT. A review of SSN ontology, its extension is performed. An ontology based resource description is presented enabling semantic integration in IoT.Keywords
Web Semantics, RDF, OWL, Linked Data, SSN, IoT.References
- A. Whitmore, A. Agarwal and L. Da Xu, “The Internet of Things—A survey of topics and trends,” Information Systems Frontiers, Vol. 17, pp. 261-274, 2015.
- “Describing Things in the Internet of Things”: From CoRE Link Format to Semantic Based Descriptions [Online]. Available https://tools.ietf.org/html/draft-ietf-core-resource-directory-08
- Thabet Slimani, “Ontology Development: A Comparing Study on Tools, Languages and Formalisms”, Indian Journal of Science and Technology, Vol 8(24), DOI:10.17485/ijst/2015/v8i34/54249,September 2015
- Resource Description Framework (RDF): Concepts and Abstract Syntax. https://www.w3.org/TR/rdf-concepts
- Vandana C.P, Ajeet A. Chikkamannur, “Study of Resource Discovery trends in Internet of Things”, Int. J. Advanced Networking and Applications,Vol.08,Issue 03,ISSN: 0975-0290 pp. 3084-3089 (2016)
- G. Zhang, C. Li, Y. Zhang, C. Xing and J. Yang, “SeanMedical: A kind of semantic medical monitoring system model based on the IoT sensors”, In e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on, (2012).
- C. Bizer, T. Heath, and T. Berners-Lee, “Linked Data - The Story So Far”. International Journal on Semantic Web and Information Systems (IJSWIS), 2009.
- Xiang Sua, Hao Zhangb, Jukka Riekkia , Ari Keranen, Jukka K. Nurminend, Libin Dub, “Connecting IoT Sensors to Knowledge-Based Systems by Transforming SenML to RDF”, 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), Procedia Computer Science 32 ( 2014 ) pp. 215 – 222
- R. Agarwal, D. G. Fernandez, T. Elsaleh, A. Gyrard, J. Lanza, L. Sanchez, N. Georgantas, V. Issarny, “Unified IoT Ontology to Enable Interoperability and Federation of Testbeds”, 3rd IEEE World Forum on Internet of Things, 2016, pp. 70-75.
- H. Van der Schaaf, R. Herzog, “Mapping the OGC Sensor Things API onto the OpenIoT Middleware”, Interoperability and Open-Source Solutions for the Internet of Things: International Workshop, FP7 OpenIoT Project, SoftCOM 2014, Springer International Publishing, Croatia, 2014, pp. 62-70.
- A. Gyrard, S. K. Datta, C. Bonnet, K. Boudaoud, “Standardizing generic cross-domain applications in internet of things”, Globecom Workshops (GC Wkshps), 2014, IEEE, 2014, pp. 589-594.
- W3C. 2011, W3C SSN Incubator Group Report. Available:http://www.w3.org/2005/Incubator/ssn/wiki/Incubator_Report
- Xiaoming Zhang, Yunping Zhao and Wanming Liu, “A Method for Mapping Sensor Data to SSN Ontology”, International Journal of uand e- Service, Science and Technology Vol.8, Issue. 6 (2015).
- M. Bermudez-Edo, T. Elsaleh, P. Barnaghi, K. Taylor, “IoT-Lite: A Lightweight Semantic Model for the Internet of Things”, Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Intl IEEE Conferences, IEEE, 2016, pp. 90-97.
- N. Seydoux, K. Drira, N. Hernandez, T. Monteil, “IoT-O, a Core-Domain IoT Ontology to Represent Connected Devices Networks”, Knowledge Engineering and Knowledge Management. EKAW 2016 Computer Science, Vol. 24, pp. 561-576,2016
- H. Zhang and C. Meng, “A Multi-dimensional Ontology-based IoT Resource Model”, 2014 5th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 124-127,2014.
- .Chang Ho Yun, Yong Woo Lee, Hae Sun Jung, “An evaluation of semantic service discovery of a U-city middleware”, Advanced Communication Technology (ICACT), 2010 The 12th International Conference on, vol.1, pp.600-603, Feb. 2010.
- Ajeet A. Chikkamannur, “Design of Fourth Generation Language with Blend of Structured Query Language and Japanese Basic English”, Ph.D. thesis, Visvesvarya Technological University Belgaum, 2013
- Ajeet A. Chikkamannur, Shivanand M. Handigund “Anameliorated methodology for ranking the tuple”, International Journal of Computers & Technology, Vol 14, No. 4, ISSN:2277-3061, pp 5616-5620, 2015.