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Singh, Aarti
- Security Concerns at Various Levels of Cloud Computing Paradigm: A Review
Abstract Views :204 |
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Authors
Affiliations
1 Maharishi Markandeshwar University, Mullana, IN
1 Maharishi Markandeshwar University, Mullana, IN
Source
International Journal of Computer Networks and Applications, Vol 2, No 2 (2015), Pagination: 41-45Abstract
Cloud computing has become a buzzword in IT industry these days and organization are getting attracted towards this magnet for expanding their infrastructure at cheaper rates. However, with all flexibility offered by cloud there are concerns about security, integrity and availability of precious information of cloud users. Conventional protection mechanisms need to be reconsidered for their effectiveness, since cloud service model is distinctly different from other internet based service models. Recently, much research efforts are being done in cloud security but still more efforts are desired. Since cloud security is a sensitive dimension affecting its wide commercial acceptance. This work explores various levels of security concerns in cloud environment and lists available mechanism for addressing them.Keywords
Cloud Computing, Security Issues, Levels, Review.- Assessment of KQML Improved
Abstract Views :146 |
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Authors
Ankit Jagga
1,
Aarti Singh
2
Affiliations
1 M.M Institute of Computer Technology and Business Management, IN
2 Maharishi Markandeshwar University, Mullana (Ambala), IN
1 M.M Institute of Computer Technology and Business Management, IN
2 Maharishi Markandeshwar University, Mullana (Ambala), IN
Source
International Journal of Advanced Networking and Applications, Vol 7, No 6 (2016), Pagination: 2931-2935Abstract
KQML (Knowledge Query Manipulation Language) is both a language and a protocol for establishing communication among multiagent systems. Researchers have been putting efforts to improve the existing structure of KQML. The latest version of KQML i.e. the KQML Improved not only supports existing features but it also extends the list of performatives and parameters along with a novel KQML based communication protocol. It also uniquely contributes security related performatives and hence limits the agents going destructive in a system. A comprehensive evaluation of KQML Improved with respect to available metrics as well as its comparison with its predecessor is being presented in the paper.Keywords
Agent Communication Language, Knowledge Query Manipulation Language (KQML), Multiagent Systems, Metrics of Evaluation.- Review of Security Issues in Mobile Wireless Sensor Networks
Abstract Views :164 |
PDF Views:2
Authors
Aarti Singh
1,
Kavita Gupta
1
Affiliations
1 Maharishi Markandeshwar University, Mullana, IN
1 Maharishi Markandeshwar University, Mullana, IN
Source
International Journal of Advanced Networking and Applications, Vol 7, No 5 (2016), Pagination: 2887-2892Abstract
MWSNs are finding applicability in wide range of applications. Applications spread from day to day utilities to military and surveillance, where they may sense information about vehicular movements around border. Considering the importance of data being sent by these nodes, threat of compromising them has also increased. This paper aims to explore various types of attacks and tries to classify them based on some common parameter. Better understanding of various attacks, their style of functioning and point of penetration can help researchers devise better preventive measures.Keywords
Attacker, MWSN, Security Attacks, Security Prerequisites.- Optimizing Ontology Mapping Using Genetic Algorithms (OOMGA)
Abstract Views :197 |
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Authors
Affiliations
1 Department of Computer Science, Guru Nanak Girls College, Yamuna Nagar, Haryana, IN
1 Department of Computer Science, Guru Nanak Girls College, Yamuna Nagar, Haryana, IN
Source
International Journal of Advanced Networking and Applications, Vol 9, No 5 (2018), Pagination: 3571-3579Abstract
Ontologies play a vital role in knowledge representation in artificial intelligent systems. With emergence and acceptance of semantic web and associated services offered to the users, more and more ontologies have been developed by various stack-holders. Different ontologies need to be mapped for various systems to communicate with each other. Ontology mapping is an open research issue in web semantics. Exact mapping of ontologies is rare to achieve so it’s an optimization problem. This work presents and optimized ontology mapping mechanism which deploys genetic algorithm.Keywords
Genetic Algorithm, Ontology, Ontology Alignment, Ontology Mapping, Optimized Ontology Mapping.References
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- Hartung, M., Kolb, L., Groß, A., & Rahm, E. (2013, January). Optimizing Similarity Computations for Ontology Matching-Experiences from GOMMA. In Data Integration in the Life Sciences (pp. 81-89).
- Springer Berlin Heidelberg.
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- Euzenat J. (2004), ‘Evaluating Ontology Alignment Methods’. Published in proceedings of Dagstuhl Seminar on Semantic Interoperability and Integration, September 2004, Wadern, Germany.
- Malhotra R., Singh N. and Singh Y. (2011), ‘Genetic Algorithms: Concepts, Design for Optimization of Process Controllers’. Published by Canadian Center of Science and Education in International Journal of Computer and Information Science, Vol. 4, No.2, March 2011,pp. 39-54.
- Man, K.,F., Tang, K.,S. and Kwong, S. (1996). Genetic Algorithms: Concepts and Applications. IEEE Transactions on Industrial Electronics, 43(5),519-534, OCTOBER 1996.
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- Doan, A., Madhavan, J., Domingos, P., & Halevy, A. (2004). Ontology matching: A machine learning approach. In Handbook on ontologies (pp. 385-403). Springer Berlin Heidelberg. (GLUE Approach)
- Singh, A., Juneja, D., & Sharma, A. K. (2011). Design of an Intelligent and Adaptive Mapping Mechanism for Multiagent Interface. In High Performance Architecture and Grid Computing (pp. 373-384). Springer Berlin Heidelberg.
- Singh, A., Juneja, D., & Sharma, A. K. (2010). General Design Structure of Ontological Databases in Semantic Web. International Journal of Engineering Science and Technology, 2(5), 12271232.
- Singh, A. and Anand,P.(2013). State of Art in Ontology Development Tools. International Journal of Advances in Computer Science & Technology, 2(7),96-101, July 2013.
- Singh, A. and Anand,P. (2013). Automatic Domain Ontology Construction Mechanism.
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- Ehrig, M., & Sure, Y. (2004). Ontology Mapping-an integrated approach. In the Semantic Web: Research and Applications (pp. 76-91). Springer Berlin Heidelberg.
- Lee, W. N., Shah, N., Sundlass, K., &Musen, M. (2008). Comparison of ontology-based semanticsimilarity measures. In AMIA annual symposium proceedings (Vol. 2008, p. 384). American Medical Informatics Association.
- Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing. International journal of human-computer studies, 43(5), 907-928.
- Gao, Y., & Gao, W. (2012). Ontology similarity measure and ontology mapping via learning optimization similarity function. International Journal of Machine Learning and Computing, 2(2), 107-112.
- Turney, P. D., &Pantel, P. (2010). From frequency to meaning: Vector space models of semantics. Journal of artificial intelligence research, 37(1), 141-188.
- Chitra, S., &Aghila, G. (2014). A survey on tools and algorithms of ontology operations. Research Journal of Engineering Sciences, 3(5), 12-25, May 2014.
- Jing, L., Zhou, L., Ng, M. K., & Huang, J. Z. (2006, April). Ontology-based distance measure for text clustering. In Proceedings of the Text Mining Workshop, SIAM International Conference on Data Mining (Vol. 23).
- Thada, V., &Jaglan, V. (2013). Comparison of Jaccard, Dice, Cosine similarity coefficient to find best fitness value for web retrieved documents using genetic algorithm. International journal of Innovations in Engineering and Technology (IJIET), 2(4), 202-205, August 2013.
- Renjith, S., & Chandrika, A. (2013). Fitness function in genetic algorithm based information filtering- a survey. International Journal of Computer Science and Mobile Computing, 80-86, December 2013.
- http://www.merriam-webster.com/dictionary/ optimization
- Entrepreneurship by Rajeev Roy, 3rd Edition, Oxford University Press, India,
Abstract Views :126 |
PDF Views:0
Authors
Affiliations
1 Assistant Professor, Strategy, FORE School of Management, New Delhi, IN
1 Assistant Professor, Strategy, FORE School of Management, New Delhi, IN
Source
Abhigyan, Vol 39, No 3 (2021), Pagination: 51-52Abstract
No abstract.Keywords
No keywordsReferences
- No references.