Volume-8 , Issue-5 , Oct 2020, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Analysis of Rumor Spreading in Social Networks using Combination of SIR, SIHR and Autoencoder Models

  F. Zarifpour, M. Mojarad, H. Arfaeinia

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.5 , pp.1-6, Oct-2020

  Abstract

  Full-Text HTML

  References

  Citation

  Abstract
  Rumors spread on social networks can sometimes have serious negative social effects, and it is usually impossible for humans to manually check the millions of posts created. Therefore, an automated technique for detecting rumors on social networks has a high practical value. In this paper, the normal behaviors of users are analyzed through their posts in the Sina Weibo social network dataset to identify rumors. We offer a autoencoder-based model with hidden multi-layer configuration to automatically detect rumors. The number of different hidden layers have been investigated to evaluate the performance of the model. The output of the autoencoder model is analyzed based on the SIR model for more accurate detection of rumors. Then, according to the rumor spread rate of the SIR model, the rumors are controlled by the SIHR model based on the steady state of the system. Analysis of the SIHR rumor spread model for a social network is based on the degree of each node, where a new node state transfer function is designed for this purpose. The results show better performance of the proposed method with 95.7% detection accuracy than DLSTM and DGRU methods on the Sina Weibo social network dataset.

  Key-Words / Index Term
  Social Networks, Rumor Detection, SIR Model, SIHR Model, Autoencoder Model

  References
  [1] Y. Hu, Q. Pan, W. Hou, M. He, “Rumor spreading model with the different attitudes towards rumors,” Physica A: Statistical Mechanics and its Applications, Vol.502, pp.331-344, 2018.
  [2] A. Rezaeipanah K. Ghanat, “An Ensemble of Community Detection in Social Networks Using Clustering of Users Demographic and Topological Information,” Current Chinese Computer Science, In Press.
  [3] S. Bernard, T. César, A. Piétrus, “Spreading rumors and external actions,” In International Conference on Large-Scale Scientific Computing, Springer, Cham, pp.193-200, 2017.
  [4] A. Rezaeipanah, M.J. Mokhtari, M. Boshkani Zadeh, “Providing a new method for link prediction in social networks based on the meta-heuristic algorithm,” International Journal of Cloud Computing and Database Management, Vol.1, Issue.1, pp. 28-36, 2020.
  [5] P. Lu, “Heterogeneity, judgment, and social trust of agents in rumor spreading,” Applied Mathematics and Computation, Vol.350, pp.447-461, 2019.
  [6] A. Rezaeipanah, M. Mojarad, S.M.F. Hosseini, “Using Cuckoo Optimization Algorithm to Identify Communities in Social Networks,” International Journal of Scientific Research in Biological Sciences, Vol.6, Issue.6, pp.113-119, 2019.
  [7] Y. Zhang, Y. Su, L. Weigang, H. Liu, “Rumor and authoritative information propagation model considering super spreading in complex social networks,” Physica A: Statistical Mechanics and its Applications, Vol.506, pp.395-411, 2018
  [8] A. Rezaeipanah, G. Ahmadi, S.S. Matoori, “A classification approach to link prediction in multiplex online ego-social networks,” Social Network Analysis and Mining, Vol.10, Issue.1, pp.27, 2020.
  [9] Z. He, Z. Cai, J. Yu, X. Wang, Y. Sun, Y. Li, “Cost-efficient strategies for restraining rumor spreading in mobile social networks,” IEEE Transactions on Vehicular Technology, Vol.66, Issue.3, pp.2789-2800, 2016.
  [10] A. Rezaeipanah, M. Mojarad, “Link Prediction in Social Networks Using the Extraction of Graph Topological Features,” International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.5, pp.1-7, 2019.
  [11] J. Ma, W. Gao, K.F. Wong, “Rumor detection on twitter with tree-structured recursive neural networks,” Association for Computational Linguistics, Vol.1, pp.1980-1989, 2018.
  [12] N. Xu, G. Chen, W. Mao, “MNRD: A merged neural model for rumor detection in social media,” In 2018 International Joint Conference on Neural Networks (IJCNN), IEEE, pp.1-7, 2018.
  [13] S.D. Mahmoodabad, S. Farzi, D.B. Bakhtiarvand, “Persian rumor detection on twitter,” In 2018 9th International Symposium on Telecommunications (IST), IEEE, pp.597-602, 2018.
  [14] T.N. Nguyen, C. Li, C. Niederée, “On early-stage debunking rumors on twitter: Leveraging the wisdom of weak learners,” In International Conference on Social Informatics, Springer, Cham, pp.141-158, 2017.
  [15] N. Ruchansky, S. Seo, Y. Liu, “Csi: A hybrid deep model for fake news detection,” In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp.797-806, 2017.
  [16] Y. Xu, C. Wang, Z. Dan, S. Sun, F. Dong, “Deep Recurrent Neural Network and Data Filtering for Rumor Detection on Sina Weibo,” Symmetry, Vol.11, Issue.11, pp.1408-1419, 2019.
  [17] Y. Zhang, W. Chen, C.K. Yeo, C.T. Lau, B.S. Lee, “Detecting rumors on online social networks using multi-layer autoencoder, In 2017 IEEE Technology & Engineering Management Conference (TEMSCON), IEEE, pp.437-441, 2017.
  [18] L. Zhao, H. Cui, X. Qiu, X. Wang, J. Wang, “SIR rumor spreading model in the new media age,” Physica A: Statistical Mechanics and its Applications, Vol.392, Issue.4, pp.995-1003, 2013.
  [19] L. Zhao, J. Wang, Y. Chen, Q. Wang, J. Cheng, H. Cui, “SIHR rumor spreading model in social networks,” Physica A: Statistical Mechanics and its Applications, Vol.391, Issue.7, pp.2444-2453, 2012.
  [20] D.M. Powers, “Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation,” Journal of Machine Learning Technologies, Vol.2, Issue.1, pp.37-63, 2011.
  [21] T. Fushiki, “Estimation of prediction error by using K-fold cross-validation,” Statistics and Computing, Vol.21, Issue.2, p.137-146, 2011.

  Citation
  F. Zarifpour, M. Mojarad, H. Arfaeinia, "Analysis of Rumor Spreading in Social Networks using Combination of SIR, SIHR and Autoencoder Models," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.5, pp.1-6, 2020

• Open Access   Article

  Study on IoT Architecture, Application Protocol and Energy needs

  Poorana Senthilkumar S., B. Subramani

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.5 , pp.7-12, Oct-2020

  Abstract

  Full-Text HTML

  References

  Citation

  Abstract
  In this digital world Internet of Things plays major role in different fields. These IoT devices are extended from Wireless Sensor Network (WSN). This paper we discussed three areas of IoT the architecture, protocols and their energy requirements. Because energy is very most emerging part of IoT devices. Architecture of IoT is very complex one it provides most of the services over the Internet. As far as the application protocols have vital role in end-user level. The IoT device energy efficiency of the nodes is a key factor in the network performance and increasing the life time. In this paper, we discuss the architecture and protocols energy importance for IoT. In this paper we focused IoT application layer comparative study of existing protocols and highlighted some standard IoT application protocol, importance of energy requirements in IoT and existing algorithms are what proposed in some researcher aspects for consuming the energy. This paper focus on analyze the IoT application architecture based lifetime of IoT devices energy management or consuming is future trends in most research challenges that lie ahead. Finally, we provide our conclusion about IoT application layer architecture based on the study that we have conducted.

  Key-Words / Index Term
  IoT Architecture, MQTT, XMPP, CoAP, AMQP, DDS, Energy

  References
  [1] A. Perera, Charith Research School of Computer Science, The Australian National University, Canberra, ACT 0200, “Sensing as a service model for smart cities supported by Internet of Things,” Trans. Emerg. Telecommun. Technol., vol. Trans. Eme, no. SPECIAL ISSUE-SMART CITIES, pp. 81–93, 2014.
  [2] K. S. Mohamed, The Era of Internet of Things. Cham: Springer International Publishing, 2019.
  [3] P. Sethi and S. R. Sarangi, “Internet of Things: Architectures, Protocols, and Applications,” J. Electr. Comput. Eng., vol. 2017, 2017.
  [4] B. N. Silva, M. Khan, and K. Han, “Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges,” IETE Tech. Rev., vol. 0, no. 0, pp. 1–16, 2017.
  [5] M. Burhan, R. A. Rehman, B. Khan, and B. S. Kim, “IoT elements, layered architectures and security issues: A comprehensive survey,” Sensors (Switzerland), vol. 18, no. 9, pp. 1–37, 2018.
  [6] M. Yun and B. Yuxin, “Research on the architecture and key technology of Internet of Things (IoT) applied on smart grid,” 2010 Int. Conf. Adv. Energy Eng. ICAEE 2010, pp. 69–72, 2010.
  [7] H. A. Khattak, M. A. Shah, S. Khan, I. Ali, and M. Imran, “Perception layer security in Internet of Things,” Futur. Gener. Comput. Syst., vol. 100, pp. 144–164, 2019.
  [8] D. G. Darwish and E. Square, “Improved Layered Architecture for Internet of Things,” Int. J. Comput. Acad. Res., vol. 4, no. 4, pp. 214–223, 2015.
  [9] S. Narayanaswamy and A. V. Kumar, “Application layer security authentication protocols for the internet of things: A survey,” Adv. Sci. Technol. Eng. Syst., vol. 4, no. 1, pp. 317–328, 2019.
  [10] J. M. Shivangi Vashi,Jyotsnamayee Ram, “Internet of Things (IoT) A Vision, Architectural Elements, and Security Issues,” Int. Conf. I-SMAC (IoT Soc. Mobile, Anal. Cloud) (I-SMAC 2017)978-1-5090-3243-3/172017 IEEE, pp. 492–496, 2017.
  [11] D. Priyadarshi and A. Behura, “Analysis of Different IoT Protocols for Heterogeneous Devices and Cloud Platform,” in 2018 International Conference on Communication and Signal Processing (ICCSP), pp. 0868–0872, 2018.
  [12] B. H. Corak, F. Y. Okay, M. Guzel, S. Murt, and S. Ozdemir, “Comparative Analysis of IoT Communication Protocols,” in 2018 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6, 2018.
  [13] P. Datta and B. Sharma, “A Survey on IoT Architectures, Protocols, Security and Smart City based Applications.”
  [14] V. Karagiannis, P. Chatzimisios, F. Vazquez-Gallego, and J. Alonso-Zarate, “A Survey on Application Layer Protocols for the Internet of Things,” Trans. IoT Cloud Comput., vol. 3, no. 1, pp. 11–17, 2015.
  [15] J. A.-Z. Vasileios Karagiannis, Periklis Chatzimisios, Francisco Vazquez-Gallego, “A Survey on Application Layer Protocols for the Internet of Things,” Trans. IoT Cloud Comput., vol. 3, no. January 2015, pp. 11–17, 2015.
  [16] S. Bendel, T. Springer, D. Schuster, A. Schill, R. Ackermann, and M. Ameling, “A service infrastructure for the Internet of Things based on XMPP,” 2013 IEEE Int. Conf. Pervasive Comput. Commun. Work. PerCom Work. 2013, no. March, pp. 385–388, 2013.
  [17] S. F. Abedin, M. G. R. Alam, R. Haw, and C. S. Hong, “A system model for energy efficient green-IoT network,” Int. Conf. Inf. Netw., vol. 2015-Janua, pp. 177–182, 2015.
  [18] S. Park, S. Cho, and J. Lee, “Energy-Efficient Probabilistic Routing Algorithm for Internet of Things,” J. Appl. Math., vol. 2014, pp. 1–7, 2014.
  [19] R. Dhall and H. Agrawal, “An improved energy efficient duty cycling algorithm for IoT based precision agriculture,” in Procedia Computer Science, vol. 141, pp. 135–142, 2018.
  [20] Z. Ali, S. Henna, A. Akhunzada, M. Raza, and S. W. Kim, “Performance Evaluation of LoRaWAN for Green Internet of Things,” IEEE Access, vol. 7, pp. 164102–164112, 2019.
  [21] K. L. Tsai, Y. L. Huang, F. Y. Leu, I. You, Y. L. Huang, and C. H. Tsai, “AES-128 based secure low power communication for LoRaWAN IoT environments,” IEEE Access, vol. 6, pp. 45325–45334, 2018.

  Citation
  Poorana Senthilkumar S., B. Subramani, "Study on IoT Architecture, Application Protocol and Energy needs," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.5, pp.7-12, 2020

• Open Access   Article

  Wireless Transmission of Solar Generated Power

  Amogha A.K.

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.5 , pp.13-15, Oct-2020

  Abstract

  Full-Text HTML

  References

  Citation

  Abstract
  This paper focuses mainly on the generation of electricity by using solar renewable energy with wireless transmission. This solar energy system is eco- friendly that can be harnessed in any remote place wherever the sunshine is available and the locations which are far- flung, deprived and not accessible from conventional power distribution transmission lines. Wireless transmission transfers electric power without any physical contact between source to load. It is based on the two principles: Faraday’s law of electromagnetic induction and principle of resonance.

  Key-Words / Index Term
  Solar Energy, Wireless Power Transfer, Transmitter, Receiver

  References
  [1] Dr. Morris Kesler, ‘Highly Resonant Wireless Power Transfer: Safe, Efficient And Over Distance’, Witricity Corporation White Paper, 2007.
  [2] Guru Prasad H L, et al, ’Issues And Challenges Of Witricity’, International Journal of Technology and Science, 2018.
  [3]M. Fareq, et al, ‘Wireless power transfer by using solar energy’, TELKOMNIKA, Vol.12, No.3, pp. 519~524, September 2014.
  [4] Amresh Kumar et al., ‘Witricity: Designed to Change World’, International Journal of Innovative Research in Electronics and Communications, Volume 2, Issue 3, pp 1-8, May 2015.

  Citation
  Amogha A.K., "Wireless Transmission of Solar Generated Power," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.5, pp.13-15, 2020

• Open Access   Article

  Development of an India-Specific Cancer Web Portal: An Educational Tool for Cancer Awareness and Community Engagement

  K. Yadav, R. Hariprasad, R. Gupta, R. Mehrotra, M. Kumari, S. Kumar, S. Gupta, S. Singh

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.5 , pp.16-24, Oct-2020

  Abstract

  Full-Text HTML

  References

  Citation

  Abstract
  Dissemination of adequate information about cancer is a prerequisite for focused cancer control efforts. This study was aimed at assessing the content validity of the existing web-based cancer awareness resources and using these inputs to create an innovative India-specific website for cancer prevention. A gap analysis of 65 existing websites on various types of cancer was carried out. The websites were graded for their content validity on a scale of 1 (good for minimally educated individual) to 6 (for health professionals only) and for external validity for India on a scale of 1 (not valid) to 3 (good validity). The websites were analysed for their layout, user friendliness, ease of navigation and complexity of the language. None of the 65 websites provided comprehensive information on the prevalent cancers in India. Majority (60%) of the websites had a score of 3 in content validity while external validity scored at 2 for 78.5% websites. In the view of the identified gaps, a comprehensive India-specific cancer website ‘India Against Cancer” was developed to provide basic information on cancer to the public with an intent to promote cancer awareness. ‘India Against Cancer’ is the first comprehensive India-specific website which is user friendly and provides authentic peer-reviewed information on prevalent cancers in India in a simple language. Wider use of this educational tool can potentially assist in improving cancer awareness and provide impetus to the population-based cancer screening program currently in the process of being rolled out in the country.

  Key-Words / Index Term
  Cancer Awareness, India Against Cancer, Cancer information, Health Promotion

  References
  [1] K.A. Robb, A.E. Simon, A. Miles, J. Wardle, “Public perceptions of cancer: A qualitative study of the balance of positive and negative beliefs,” BMJ Open, Vol.4, pp.e005434, 2014.
  [2] F. Bray, J. Ferlay, I. Soerjomataram, R.L. Siegel, L.A. Torre, A. Jemal, “Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries,” CA Cancer J Clin, Vol.68, pp.394-424, 2018.
  [3] A. Rai, S. Pradhan, C.P. Mishra, A. Kumar, T.B. Singh, “Health beliefs of women suffering from cancer: A hospital based study,” Indian J Prev Soc Med Vol.45, pp.66-72, 2014.
  [4] I. Katz, R.G. Hass, N. Parisi, J. Astone, D. McEvaddy, D.J. Lucido, “Lay people’s and health care personnel’s perceptions of cancer, AIDS, cardiac, and diabetic patients,” Psychol Rep Vol.60, pp.615-629, 1987.
  [5] P.W. Corrigan, “The Stigma of Disease and Disability: Understanding Causes and Overcoming Injustices,” American Psychological Association, Washington DC, 2014.
  [6] A. Mistry, S. Wilson, T. Priestman, S. Damery, M.S. Haque, “How do the information needs of cancer patients differ at different stages of the cancer journey? A cross-sectional survey,” JRSM Short Rep, Vol1, pp.30, 2010.
  [7] A.J. Xavier, E. d`Orsi, J. Wardle, P. Demakakos, “Internet use and cancer-preventive behaviors in older adults: findings from a longitudinal cohort study,” Cancer Epidemiol Biomarkers Prev, Vol.22, pp. 2066–2074, 2013.
  [8] S.D. Clark, D.S. Reuland, C. Enyioha, D.E. Jonas, “Assessment of Lung Cancer Screening Program Websites,: JAMA Intern Med, Vol.180, pp.824-830, 2020.
  [9] Y. Moolla, A. Adam, M. Perera, N. Lawrentschuk, “`Prostate Cancer` Information on the Internet: Fact or Fiction?,” Curr Urol, Vol.13, pp.200-208, 2020.
  [10]S.G. Sireci, “Gathering and analyzing content validity data,” Educational Assessment Vol. 5, pp.299-321, 1998.
  [11]R.J. Cline, K.M. Haynes, “Consumer health information seeking on the Internet: the state of the art,” Health Educ Res, Vol.16, pp.671-692, 2001.
  [12]J.M. Bernhardt, J. Hubley, “Health education and the internet: The beginning of a revolution,” Health Educ Res, Vol.16, pp.643-645, 2001.
  [13]L. Renganathan, S. Ray, D. Nagpal, “Use of internet for accessing healthcare information among patients in an outpatient department of a Tertiary Care Center,” J Mar Med Soc, Vol.19, pp15-17, 2017.
  [14]E.L. Rubenstein, “‘Things my doctor never told me’: Bridging information gaps in an online community,” Proceedings of the American Society for Information Science and Technology, Vol.49, pp1-10, 2012.
  [15]Y. Okan, S.G. Smith, W. Bruine de Bruin, “How is cervical cancer screening information communicated in UK websites? Cross-sectional analysis of content and quantitative presentation formats,” BMJ Open, Vol.9, pp. e029551, 2019.
  [16]W. Hopmans, O.C. Damman, D.R. Timmermans, C.J. Haasbeek, B.J. Slotman, S. Senan, “Communicating cancer treatment information using the Web: utilizing the patient’s perspective in website development,” BMC Med Inform Decis Mak, Vol.14, pp.116, 2014.
  [17] K. Yadav, S. Upadhyay, A. Chandra, R. Hariprasad, R. Gupta, R. Mehrotra, et al, “Evaluation of ‘India against Cancer’ Web Portal Using Environmental Scan and Google Analytics,” International Journal of Scientific Research in Network Security and Communication, Vol.8, pp.14-20, 2020.

  Citation
  K. Yadav, R. Hariprasad, R. Gupta, R. Mehrotra, M. Kumari, S. Kumar, S. Gupta, S. Singh, "Development of an India-Specific Cancer Web Portal: An Educational Tool for Cancer Awareness and Community Engagement," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.5, pp.16-24, 2020