B. Han. IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue VIII):
76-80(August 2020)1. Seenivasagam V, Velumani R, “A QR code based zero-watermarking scheme for authentication of medical images in teleradiology cloud,” Computational and mathematical methods in medicine, 2013. 2. Parah S A , Sheikh J A , Ahad F , et al, “Information hiding in medical images: a robust medical image watermarking system for E-healthcare, “Multimedia Tools & Applications, vol. 76,no.8, pp.1-35.,2017 3. Aparna, Puvvadi , and P. V. V. Kishore , “Biometric-based efficient medical image watermarking in E-healthcare application,”IET Image Processing,vol .13,no.3 , pp.421-428,2019. 4. Aparna, Puvvadi , and P. V. V. Kishore , “An iris biometric-based dual encryption technique for medical image in e-healthcare application,” International Journal of Computational Vision and Robotics, vol.10,no.1,2020,:. 5. Raul R C, Claudia F U, Trinidad-Bias G J, “ Data Hiding Scheme for Medical Images,” Electronics, Communications and Computers, 2007. CONIELECOMP '07. 17th International Conference on. IEEE, pp.32-32,2007. 6. Singh A K, Kumar B, Dave M, et al , “Robust and imperceptible dual watermarking for telemedicine applications,” Wireless Personal Communications, vol.80,no.4, pp.1415-1433,2015 7. Aparna, Puvvadi , and P. V. V. Kishore , “A blind medical image watermarking for secure e-healthcare application using crypto-watermarking system,” Journal of Intelligent Systems ,2019. 8. Singh A K, Kumar B, Dave M, et al, “ Multiple watermarking on medical images using selective discrete wavelet transform coefficients,” Journal of Medical Imaging & Health Informatics, vol 5,no.3, pp.607-614,2015. 9. Ghouti, Lahouari , “ Robust perceptual color image hashing using randomized hypercomplex matrix factorizations,” Multimedia Tools and Applications ,vol77,no15,pp:19895-19929,2018 10. Cui, Yan , et al, “Supervised discrete discriminant hashing for image retrieval,” Pattern Recognition ,vol78,pp:79-90,2018.
Caroline, Micah, and Moses. IJIRIS:: International Journal of Innovative Research in Information Security, Volume VI (Issue V):
108-116(July 2019)1. UNAIDS. (2018). The Global HIV/AIDS Epidemic. Retrieved August 2018, from hiv.gov: https://www.hiv.gov/hiv-basics/overview/data-and-trends/global-statistics 2. Kimberly, G. (2015). HIV service delivery models towards `zero AIDS related deaths. BMC Health service research.15(2) 12-15 3. Johnson, K. (2013). integration of HIV and family planning Health services in Sub-saharan Africa, DHS Analytical studies no. 30 Calverton, Maryland, USA. 4. Mutemwa, R. (2016). Perception and Experiences of Integrated Service Delivery Among Women Living with HIV Attending Reproductive Health Services in Kenya: A Mixed Methods Study. AIDS and behaviour, 20(9), 2130-40. 5. Bergh, A. (2015). Clinician Perceptions and Patient Experiences of ART Teatment and primary health care integration in ART clinics. AOSIS open journa, 38(1),1489l. 6. Sima, Belachew, & Abebe. (2017). Knowledge, Attitude and Perceived Stigma towards Tuberculosis among Pastoralists. Plos one, 12(7), 18-32 7. Pathmanathan, Munyaradzi, Sherri, Dokubo, Preko, Mazibuko, et al. (2017). High Uptake of Antiretroviral Therapy among HIV-positive TB Patients Receiving co-located Services in Swaziland. plos one, 13(5). 196-831 8. Buh, W., Peter, N., & Atashili, J. (2016). Clients satisfaction with HIV treatment services in Bamenda, Cameroon. BMchC Health services Resear, 16(1), 280. 9. Kikuvi, J. (2014). Are integrated HIV services less stigmatizing than stand alone models of care? A comparative case study from Swaziland. International Aids Society. 10. Kioko, J. (2015). Are integrated HIV services less stigmatizing than stand alone models of care? A comparative case study from Swaziland. Journal Of International Aids Society, 16(1), 9-12. 11. National AIDS Control Council,NACC. (2016). Kenya HIV County Profiles. Nairobi: Ministry Of Health 12. Odeny. T, K. J. (2013). Intergration of HIV Core with Primary Health Care services:Effects of patient satisfaction and stigma in Rural Kenya. AIDS Resersch and Treatment, 20(2), 4-8..
Basha, Abdulreda, and Hatem. IRJCS:: International Research Journal of Computer Science, Volume VI (Issue III):
38-46(March 2019)1. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation computer systems, vol. 25, pp. 599-616, 2009. 2. P. Mell and T. Grance, "The NIST definition of cloud computing," 2011. 3. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, et al., Ä view of cloud computing," Communications of the ACM, vol. 53, pp. 50-58, 2010. 4. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski, et al., Äbove the clouds: A berkeley view of cloud computing," Technical Report UCB/EECS-2009-28, EECS Department, University of California, Berkeley2009. 5. I. Foster, Y. Zhao, I. Raicu, and S. Lu, "Cloud computing and grid computing 360-degree compared," in Grid Computing Environments Workshop, 2008. GCE'08, 2008, pp. 1-10. 6. B. Hayes, "Cloud computing," Communications of the ACM, vol. 51, pp. 9-11, 2008. 7. D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli, S. Soman, L. Youseff, et al., "The eucalyptus open-source cloud-computing system," in Cluster Computing and the Grid, 2009. CCGRID'09. 9th IEEE/ACM International Symposium on, 2009, pp. 124-131. 8. R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. De Rose, and R. Buyya, "CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms," Software: Practice and experience, vol. 41, pp. 23-50, 2011. 9. L. M. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner, Ä break in the clouds: towards a cloud definition," ACM SIGCOMM Computer Communication Review, vol. 39, pp. 50-55, 2008. 10. S. Marston, Z. Li, S. Bandyopadhyay, J. Zhang, and A. Ghalsasi, "Cloud computing—The business perspective," Decision support systems, vol. 51, pp. 176-189, 2011. 11. A. D. Basha, I. N. Umar, and M. Abbas, "Mobile applications as cloud computing: implementation and challenge," International Journal of Information and Electronics Engineering, vol. 4, p. 36, 2014. 12. C. Shravanthi and H. Guruprasad, "Mobile cloud computing as future for mobile applications," International Journal of Research in Engineering and Technology, vol. 3, pp. 2319-2322, 2014. 13. N. Patil, N. Patil, A. Bagal, M. Desai, and A. Bhosale, "Development of Android Mobile Application for Cloud Video Streaming using Mobile Cloud Computing." 14. A. D. Basha, "Modeling E-Learning Readiness among Instructors in Iraqi Public Universities," Universiti Sains Malaysia, 2015. 15. K. Patil and S. Patil, Ä CASE STUDY ON MOBILE CLOUD COMPUTING." 16. M. A. Mahmod, A. B. M. Ali, A. R. B. Ahlan, A. Shah, and M. S. A. Seman, "E-learning in Iraqi universities: A review," in Computing, Engineering, and Design (ICCED), 2017 International Conference on, 2017, pp. 1-4. 17. A. D. Basha, S. H. Mnaathr, I. N. Umar, and R. Jamaludin, "Insight on Protection of Universities Networks Information Security: The Problems and the Solutions," 2013. 18. E. M. Morgado and R. Schmidt, "Increasing Moodle resources through cloud computing," in Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on, 2012, pp. 1-4. 19. M. Wang, Y. Chen, and M. J. Khan, "Mobile cloud learning for higher education: A case study of Moodle in the cloud," The International Review of Research in Open and Distributed Learning, vol. 15, 2014. 20. V. Siládi and V. Mižúrová, "LMS Moodle on Computing Cloud," in 4th Interantional Scientific Conference in V4 Countries, Applied Natural Sciences, Trnava, 2013. 21. V. Kumar and D. Sharma, "Creating Collaborative and Convenient Learning Environment Using Cloud-Based Moodle LMS: An Instructor and Administrator Perspective," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), vol. 11, pp. 35-50, 2016. 22. N. Sclater, "eLearning in the Cloud," International Journal of Virtual and Personal Learning Environments, vol. 1, pp. 10-19, 2012..
Pooja, and Ahirao. IJIRIS:: International Journal of Innovative Research in Information Security, Volume V (Issue VIII):
471-474(September 2018)1. K. Wu and C. Wang, “Steganography using reversible texture synthesis” IEEE Transactions on Image Processing Vol.24 pp 130-139,January 2015 2. Shreyank N Gowda, “An Advanced Diffie-Hellman Approach to Image Steganography ” IEEE Transactions on advance network and telecommunication system Vol.19 pp 1-4,june 2016 3. Sherin Sugathan, “An Improved LSB Embedding Technique for Image Steganography ” International conference on applied and theoretical computing and communication technology Vol.33 pp 609-612,2016 4. S. Singh and V. K. Attri Dual Layer Security of data using LSB Image Steganography Method and AES Encryption Algorithm International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 8, No. 5 , pp. 259-266 ,2015 5. Utsav Sheth and Shiva Saxena, “Image Steganography Using AES Encryption and Least Significant Nibble ” International conference on communication and signal processing Vol.11 pp 0876-0879,2016 6. Radu Pietraru, “Secure communication method based on encryption and steganography” International conference on control system and computer science Vol.31 pp 453-458,2017 7. Y Manjula and K B Shivakumar ,”Enhanced Secured Image Steganography using Double Encryption Algorithm” International Conference on Computing for Sustainable Global Development (IndiaCom),2016 8. Tanushree Shelare and Varsha Powar,”A secure transmission approach using B-Trees in steganography”International Conference on Automatic Control and Dynamic Optimization Techniques,2016 9. https://www.sans.org/reading-room/whitepapers/vpns/review-chaffing-winnowing-876 10. http://www.asp.net/: This is the official Microsoft ASP.NET web site. It has a lot of: tutorials, training videos, and sample projects. 11. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6850714&queryText%3Dimage+steganography 12. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6658020&queryText%3Dimage+steganography.
Shirsat. IJIRIS:: International Journal of Innovative Research in Information Security, Volume V (Issue IV):
21-24(April 2018)1. Gary Stoneburner, Alice Goguen, and Alexis Feringa, "Risk Management Guide for Information Technology Systems", Recommendations of the National Institute of Standards and Technology, Special Publication 800-30, pp.1-5, July 2002 2. Richard Kissel, Kevin Stine, Matthew Scholl, Hart Rossman, Jim Fahlsing, Jessica Gulick, "Security Considerations in the System Development Life Cycle ",October 2008, pp. 2-3 3. Ugur Aksu, Hadi Dilek, ˙Islam Tatlı, Kemal Bicakci,˙Ibrahim Dirik,Umut Demirezen, Tayfun Aykır,Ä Quantitative CVSS- Based Cyber Security Risk Assessment Methodology For IT Systems", 23-26 Oct. 2017,IEEE 4. Daniel Tse, Zehan Xie, Zhaolin Song,Äwareness of information security and its implications to legal and ethical issues in our daily life",10-13 Dec. 2017,IEEE 5. Ayesha M. Talha, Ibrahim Kamel, Zaher Al Aghbari, "Enhancing Confidentiality and Privacy of Outsourced Spatial Data", 2015 IEE9E 2nd International Conference on Cyber Security and Cloud Computing, 2015 6. 074747474.5ark Stamp’s, “Information Security Principle and Practice”,Vol-4, Wiley Interscience, pp. 386, 405, 2006.
H. TARIQ, W. YANG, I. HAMEED, B. AHMED, and R. KHAN. IJIRIS:: International Journal of Innovative Research Journal in Information Security, Volume IV (Issue XII):
01-07(December 2017)1 Hugh A. Chipman, Edward I. George, and Robert E. McCulloch. “Bayesian CART Model Search.” Journal of the American Statistical Association, Vol. 93(443), pp 935–948, September 1998. 2 Sujata Garera, Niels Provos, Monica Chew, and Aviel D. Rubin. “A framework for detection and measurement of phishing attacks.” In Proceedings of the 2007 ACM workshop on Recurring malicious code - WORM ’07, page 1, 2007. 3 Abhishek Gattani, AnHai Doan, Digvijay S. Lamba, NikeshGarera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, AnandRajaraman, and VenkyHarinarayan. “Entity extraction, linking, classifica- tion, and tagging for social media.” Proceedings of the VLDB Endowment, Vol. 6(11), pp 1126–1137, August 2013. 4 David D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval. pages 4–15. 1998. 5 Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. “Learning to detect malicious URLs.” ACM Transactions on Intelligent Systems and Technology, Vol. 2(3), pp 1–24, April 2011. 6 FadiThabtah Maher Aburrous, M.A.Hossain, KeshavDahal. “Intelligent phishing detection system for e-banking using fuzzy data mining.” Expert Systems with Applications, Vol. 37(12), pp 7913–7921, Dec 2010. 7 AnkushMeshram and Christian Haas. “Anomaly Detection in Industrial. Networks using Machine Learning: A Roadmap.” In Machine Learning for Cyber Physical Systems, pages 65–72. Springer Berlin Heidelberg, Berlin, Heidelberg, 2017. 8 Xuequn Wang Nik Thompson,Tanya Jane McGill. “Security begins at home: Determinants of home computer and mobile device security behavior.” Computers & Security, Vol. 70, pp 376–391, Sep 2017. 9 Dan Steinberg and Phillip Colla. “CART: Classification and Regression Trees.” The Top Ten Algorithms in Data Mining, pp 179–201, 2009. 10 D. Teal. “Information security techniques including detection, interdiction and/or mitigation of memory injection attacks,” Google patents. Oct 2013. 11 Kurt Thomas, Chris Grier, Justin Ma, Vern Paxson, and Dawn Song. “Design and Evaluation of a Real-Time URL Spam Filtering Service.” In 2011 IEEE Symposium on Security and Privacy, pp 447–462. May 2011. 12 Sean Whalen, Nathaniel Boggs, and Salvatore J. Stolfo. “Model Aggregation for Distributed Content Anomaly Detection.” In Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop - AISec ’14, pp 61–71, New York, USA, 2014. ACM Press. 13 Ying Yang and Geoffrey I. Webb. “Discretization for Naive-Bayes learning: managing a discretization bias and variance.” Machine Learning, Vol. 74(1), pp 39–74, Jan 2009..