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- International Journal of Innovative Research in Information Security is an International peer-reviewed research publishing journal with a laser-beam focal aim of promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Information Technology. It is a monthly published online international scientific research journal focusing on issues in information technology research.
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- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue VII): 69-75 (August 2020)1. Adepoju, S. A.&AlhassanS. (2010). Challenges of ATM use and fraud occurrences in Nigeria: A case study of selected banks in Minna metropolis. Journal of Online Banking and Business, 15 (2), 1-10. 2. Adeoye, O. (2012). Evaluate the performance of two-factor authentication solutions in the banking sector. International Journal of Computer Science, 9 (4), 457-462. 3. Alblawi, U. Moon I., Kim, J., Suh, S.C. & Lee, W. (2014). A hybrid classifier with classification a binning for network application identification. Journal of Integrated Design and Operations Science, 18 (3), 3-22, 4. Banerjee, U.,Vashishtha, A.&Saxena M. (2010). Wireshark function evaluation as an intrusion detection tool. International Journal of Computer Applications, 6 (7), 1-5. https://Doi:10.5120/1092-1427. 5. Brunner, A., Decressin, J., Hardy, D., &Kudela, B. (2004). The German Banking System of Three Pillars: The European Transnational Perspective. Washington, DC: International Monetary Fund. 6. Chavalone, S. (2012). Banking fraud and ATM security. Retrieved from (Accessed 10th August, 2020) http://resources.infosecinstitute.com/bank-fraud-atm-security/. 7. Cisco Networking Academy. (2017). Basics of steering and switching. Hoboken, New Jersey: Cisco Press, 2017. 8. Debnath, R. Agrawal, B.&Vishnav, C. (2014). DES, AES, and Triple DES: Symmetric Key Cryptography Algorithms. International Journal of Scientific, Engineering and Technical Research, 3 (3), 652-654 9. Firewall. (Nd) Oxford Life Dictionary of the English Language. Retrieved from (Accessed 10th August, 2020) https://en.oxforddictionaries.com/definition/firewall. 10. Hussain, M. S. Russell, A.H.&RobidasL.C. (2015). Review of ATM services in Dhaka City for an analysis of factors affecting customer satisfaction. Journal of Business and Management IOSR, 17 (11) 1, 68-75. 11. Khan, F. (2015). How does an ATM machine work? Retrieved fromwww.quora.com/How-does-an-ATM-machine-work-1 12. Modern Ghana. (2013). Federal prosecutors say hackers stole $ 45 million in ATM card fraud. Retrieved from www.modernghana.com/news/463043/1/hackers-steal-45-million-in-atm-card-scam-Federal.html 13. Regular old phone service. (No date). On Wikipedia. Retrieved from (Accessed 10th August, 2020). https://en.wikipedia.org/wiki/Plain_old_telephone_service 14. Prodromo, A. (2019). TLS Security 6: Examples of TLS Attacks and Attacks. (Accessed 10th August, 2020) Taken from https://www.acunetix.com/blog/articles/tls-vulnerabilities-attacks-final-Part/143-153 15. Pymnts.com. (2017). Automated teller machines in the US have recently grown. Retrieved from https://www.pymnts.com/cash/2017/atmia-says-us-atms-finally-see-growth/(Accessed 10th August, 2020) 16. Robam, A., Verma, and A. And Singh A. (2013). A method for detecting beams using beam sniffing. International Journal of Computer Science and Engineering, 4 (3), 21-33. https://Doi:10.5121/ijcses.2013.4302. 17. Sidel, R. (2015). Debit card data theft from ATMs escalated. Retrieved from www.wsj.com/articles/theft-of-debit-card-data-from-atms-soars-1432078912(Accessed 10th August, 2020). 18. Payment Card Forensic Analysis: From Concept to Desktop and Mobile Analysis Tools. Digital Survey, 11 (3), 143-153. TechTarget Network. (Nada). What is Ethernet? Retrieved from. (Accessed 10th August, 2020). https://searchnetworking.techtarget.com/definition/Ethernet 19. TechTarget Network. (n.d). What is a local area network (LAN)? Retrieved from (Accessed 10th August, 2020)www.searchnetworking.techtarget.com/definition/local-area-network-LAN 20. Twum, F., Nti, IK, & Asante, M. (2016). Use multi-factor authentication to improve ATM security. International Journal of Science and Engineering Applications, 5 (3), 126-134. https://Doi:10.7753/ijsea0503.1003. 21. Wireshark. (No date). In Techopedia. Retrieved from www.techopedia.com/definition/25325/wireshark (Accessed 10th August, 2020) 22. Young, C. (2019). Introduce ZOMBIES POODLE and GOLDENDOODLE. Retrieved from https: (Accessed 10th August, 2020) //www.tripwire.com/zh-CN/state-of-security/vulnerability-management/zombie- 23. Zou Lin, Liao Ming, Yuan Cheng, Zhang Hai (2017). Use the expected packet size to detect low-speed DDoS attacks. Security and Communications Network, 2017 (1), 1-14. https://Doi:10.1155/2017/3691629.
- 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.
- IJIRIS:: International Journal of Innovative Research in Information Security, Volume V (Issue IX): 465-470 (September 2018)1. Hussein T. Mouftah Khaled A. Ali, "Wireless personal area networks architecture and protocols for multimedia applications," Ad Hoc Networks, vol. 9, pp. 675–686, 2011. 2. Prashant Pillai, Vince W.C. Chook, Stefano Chessa, Alberto Gotta,Y. Fun Hu Paolo Baronti, "Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards," Computer Communications, vol. 30, pp. 1655–1695, 2007. 3. ZigBee Alliance, ZigBee Specification, January.2008, ZigBee Document 053474r17. 4. Kamaran Javed , “ZigBee suitability for Wirelee Sensor Networks in Logistic Telemetry Applications”, School of information Science,Computer and Electrical Engineering, Jan 2006 5. Ricardo Augusto Rodrigues da Silva Severino, Ön the use of IEEE 802.15.4/ZigBee for Time-Sensitive Wireless Sensor Network Applications," Polytechnic Institute of Porto, 2008. 6. F. Cuomo et al., Cross-layer network formation for energy-efficient IEEE 802.15.4/ZigBee Wireless Sensor Networks, Ad Hoc Netw. (2011). 7. Standard for part 15.4: Wireless MAC and PHY specifications for low rate WPAN, IEEE Std 802.15.4, IEEE, New York, NY (Oct 2003). 8. Vijay Anand Sai Ponduru Archana Bharathidasan, "Sensor Networks: An Overview," Department of Computer Science, University of California, Davis, CA 95616,. 9. Nidhi Patel, Hiren Kathiriya , Arjav Bavarva , “Wireless Sensor Network using ZigBee “,Intenational Journal of Research in Engineering and Technology, Vol 2, Issue 6, Jun 2013 10. A. Geetha , “Intelligent Helmet for Coal Minors with voice over ZigBee and Environmental Monitoring” , Middle East Journal of Scentific Research , ISSN 1990-9233,IDOSI Publications 2014. 11. Action Nechibvute, Courage Mudzingw, “Wireless Sensor Networks for SCADA and Industrial Control Systems” , International Journal of Engineering and Technology , Vol 3 No. 12, Dec2013. 12. Hariprabha .V, Vasantharathna .S, “Monitoring and control of food storage depots using Wireless Sensor Network” , International Journal of Industrial Electronics and Electrical Engineering, ISSN 2437-6982,Vol 2 Issue 6 June 2014. 13. Dipali K Shende , Arun K Mane , Rahul K More , Nikel M Nawale , “ARM 7 based Wireless Data Transmission using ZigBee” , International Journal of Innovative research in Electrical, Electronics , Instrumentation and Control Engineering, Vol3 Issue 5, may 2015..
- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VI (Issue I): 20-28 (January 2019)1. Khidir, M. and Ali, A. (2011).A Comparative Study of Authentication Methods for Wi-Fi Networks. In: Proceedings of International Conference on Computational Intelligence, Communication Systems and Networks Online, pp. 190-194. 2. Sheila, F., Bernard, E., Les, O., Karen, S.(2007). Establishing Wireless Robust security Networks: A Guide to IEEE 802.11i, NIST.US. 3. Kwang-Hyun, B., Sean, W. and David, K. (2004). A Survey of WPA and 802.11i RSN Authentication Protocols. Dartmouth College: Computer Science Technial Report TR2004-524. Available at: www.cs.dartmouth.edu/~dfk/papers/baek-survey-tr.pdf 4. Borisov,N. , Goldberg,I. and Wagner, D.(2001). Intercepting Mobile Communications: The Insecurity of 802.11. In: Proceedings of 7th Annual International Conference on Mobile Computing and Networking, Rome, Italy: ACM Press. 5. Yizhan, S. (2006). Complexity of System Configuration Management, PhD thesis, Tufts University..
- International Journal of Innovative Research in Information Security, 7 (9): 99-104 (October 2020)1. Frase, H.S.F., et.al., “Comparing complex diagnoses a formative evolution of the heart disease program”, MIT Lab for Computer Science, Cambridge, MA(2001) 2. Salem, A.M. Raushdy, M and HodHod, R.A., “ A rule based expert system for diagnosis of Heart disease”, 8th International conference on soft Computing MENDEL, Brno, Czech Republic, June 5-7, PP 258-263(2002). 3. Shaikh Abdul Hannan, V. D. Bhagile, R. R. Manza, R. J. Ramteke, "Development of an Expert System for Diagnosis and appropriate Medical Prescription of Heart Disease Using Support Vector Machine and Radial Basis Function", International Journal of Computer Science and Information Security, (IJCSIS) August issue (Vol. 8 No. 5), 2010, Pages/record No.: 245-254. ISSN: 19475500. 4. I. Turkoglu, A. Arslan, E. Ilkay, “An expert system for diagnosis ofhe heart valve diseases”, Expert Systems with Applications vol.23,pp. 229–236, 2002. 5. Shaikh Abdul Hannan, A.V. Mane, R. R. Manza and R. J. Ramteke, “Prediction of Heart Disease Medical Prescription Using Radial Basis Function", IEEE International Conference on Computational Intelligence and Computing Research at Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India, ICCIC-2010, December 28-29, 2010. 6. Mrs. Bharati M. Ramageri, “Data Mining Techniques And Applications”,Bharati M. Ramageri / Indian Journal of Computer Science and Engineering Vol. 1 No. 4 pp 301-305. 7. Shaikh Abdul Hannan, R. R. Manza and R.J. Ramteke, “Association Rules for Filtering The Medicine To Avoid Side Effects Of Heart Patients”, on 16 -19 Dec 2009, at Advances in Computer Vision and Information Technology – 09, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. 8. Rajeswari K, Vaithiyanathan V, P. Amirtharaj “Application of Decision Tree Classifiers in Diagnosing Heart Disease using Demographic Data” American Journal of Scientific research ISSN 2301-2005 pp. 77-82 EuroJournals Publishing, 2012. 9. Shaikh Abdul Hannan, Jameel Ahmed, Naveed Ahmed, Rizwan Alam Thakur, “Data Mining and Natural Language Processing Methods for Extracting Opinions from Customer Reviews”, International Journal of Computational Intelligence and Information Security, pp 52-58, Vol. 3, No. 6, July 2012. ( ISSN: 1837-7823). 10. Haque ME, Sudhakar KV. ANN back propagation prediction model for fracture toughness in microalloy steel. Int J Fatique 2002;24:1003–10. 11. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America. 12. Celikoglu HB. Application of radial basis function and eneralized regression neural networks in non-linear utility function specification for travel mode choice modelling. Math Comput Model 2006;44:640–58. 13. Mohammad Eid Alzaharani, Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”, Issue,1, Vol 5, , KKU Journal of Basic and Applied Sciences, Mar 2019 , Page 6-15. 14. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Application (IJCA), New York, USA. 15. Kusuma.S1, Divya Udayan, “Machine Learning and Deep Learning Methods in Heart Disease (HD) Research, International Journal of Pure and Applied Mathematics, Volume 119 No. 18 2018, 1483-1496, ISSN: 1314-3395 (on-line version)url:http://www.acadpubl.eu/hub/Special Issue. 16. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, ISSN: 2241-4487, Greece. 17. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 – 8887), Pag 7-12, Volume 179 – No.46, June 2018. 18. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” ” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India. 19. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology (IJERT), Vol. 6 Issue 05, May – 2017, ISSN: 2278-0181. 20. C.Sowmiya, Dr.P.Sumitra, “Analytical Study of Heart Disease Diagnosis Using Classification Techniques” 2017 IEEE International Conference On Intelligent Techniques In Control, Optimization And Signal Processing, 978-1-5090-4778-9/17/$31.00 ©2017 IEEE. 21. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, K. V. Kale “Review on HRV based Prediction and Detection of Heart Disease” International Journal of Computer Application(IJCA), Vol. 179, Number 46, June 2018, ISSN 0975-8887, USA. 22. Rifki Wijaya, Ary Setijadi Prihatmanto,et.al “Preliminary Design of Estimation Heart disease by using machine learning ANN within one year” , 2013 Joint International Conference on Rural Information & Communication Technology and Electric-Vehicle Technology (rICT & ICeV-T) November 26-28, 2013, Bandung-Bali, Indonesia, 978-1-4799-3365-5/13/$31.00 ©2013 IEEE. 23. Yogesh, Abdul Hannan, Rahul Sagar, Kishor Jave, Identification and Counting Trees from Oil Palm Plantations Using Digital Image Processing Techniques, International Journal of Engineering Research & Technology (IJERT), Vol. 6 Issue 05, May – 2017, ISSN: 2278-0181. 24. Mahammed Waseem, Naushad Ahmed Osmani, Shaikh Abdul Hannan, “A Survey on E-education of information and Communication ‘Technology”, European Journal of Computer Science and Information Technology (EJCSIT), Vol. 4, Issue 6, ISSN 2054-0965, October 2016. 25. H. Uguz, A. Arslan, I. Turkoglu, Ä biomedical system based on hidden Markov model for diagnosis of the heart valve diseases", Pattern Recognition Letters vol.28 pp.395–404, (2007). 26. Mr.Deepak.C.Dhanwani,et.al.,"Survey on Various Techniques of Brain Tumor Detection from MRIImages", International Journal of Computational Engineering Research Vol, 04,Issue, 1,January-2014. 27. Shaikh Abdul Hannan, Bharatratna P. Gaikwad, Ramesh Manza, "Brain Tumor from MRI Images : A Review". International Journal of Scientific and Engineering Research (IJSER), Volume 5, Issue 4, April-2014 ISSN 2229-5518, France. 28. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, ISSN: 2278-3075, New Delhi, India. 29. M. J. Baheti, A. V. Mane, Shaikh Abdul Hannan, K. V. Kale, “Comparison of PCA and SVM for a west Indian Script- Gujarati”, CiiT Journal of Digital Image Processing, Vol. 3. No. 11, pp. 709-715, July 2011. 30. Karaolis, M.A. Moutiris, J.A. Hadjipanayi, D. Pattichis, C.S., “Assessment of the Risk Factors of Coronary Heart Events Based on Data Mining With Decision Trees” IEEE Transactions on Information Technology in Biomedicine, pp 559 -566, May 2010. 31. Nikhil Gawande , Alka Barhatte , Heart Diseases Classification using Convolutional Neural Network, Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES), IEEE, 2017. 32. Mir Arif Ali, Shaikh Abdul Hannan, Ä Review on Modern and Classical Encryption Techniques", International Journal of Engineering Trends and Technology, Volume 12, Number 4, June 2014, ISSN 2231-5381, India. 33. Aufzalina Mohd Yusof, Nor Azura Md. Ghani, Khairul Asri Mohd Ghani, Khairul Izan Mohd Ghani, A predictive model for prediction of heart surgery procedure, Indonesian Journal of Electrical Engineering and Computer Science Vol. 15, No. 3, September 2019. 34. Amin Ul Haq, Jian Ping Li, Muhammad Hammad Memon, Shah Nazir, Ruinan Sun, A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms, Hindawi Mobile Information Systems Volume 2018. 35. X. Li, J. Chen, G. Zhao and M. Pietikainen, “Remote Heart Rate Measurement from Face Videos under Realistic Situations”, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 4264- 4271, 2014. 36. Shaikh Abdul Hannan, A.V. Mane, R. R. Manza and R. J. Ramteke, “Prediction of Heart Disease Medical Prescription Using Radial Basis Function", IEEE International Conference on Computational Intelligence and Computing Research at Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India, ICCIC-2010, December 28-29, 2010. 37. Y. Pei, S. Zhao, X. Yang, J. Cao and Y. Gong, “Design Optimization of a SRM Motor by a Nature-Inspired Algorithm: Multi-Verse Optimizer”, Proceedings of IEEE International Conference on Industrial Electronics and Applications, pp. 1870-1875, 2018. 38. Shaikh Abdul Hannan, V.D. Bhagile, R. R. Manza and R.J. Ramteke, “Expert System for Diagnosis and Appropriate Medical Prescription of Heart Disease Using Radial Basis Function”, CiiT International Journal of Artificial Intelligent Systems and Machine Learning, Vol 2, No 8 (2010), pp 184-193, ISSN 0974–9667. 39. Durairaj M, Revathi V, “Prediction Of Heart Disease Using Back Propagation MLP Algorithm”, International Journal of Scientific and Technology Research, Volume 4, Issue 8, August 2015..
- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VI (Issue IV): 102-107 (May 2019)1. Arampatzis, T., et al. (2005) A Survey of Security Issues in Wireless Sensors Networks, in Intelligent Control. Proceeding of the IEEE International Symposium on, Mediterrean Conference on Control and Automation, 719-724. 2. Anna Gerber,” Simplify your IoT solution with IoT Architecture, IBM Document, 2017 3. Computing and its role in the internet of things,” in Proceedings of the 1st ACM MCC Workshop on Mobile Cloud Computing, pp. 13–16, 2012 4. Charith Perera, Chi Harold Liu, Srimal Jayawardena―The Emerging Internet of Things marketplace From an Industrial Perspective: A Survey”,IEEE transactions on emerging topics in computing‖, 31 Jan 2015. 5. Chen, X.-Y. and Jin, Z.-G. (2012) Research on Key Technology and Applications for the Internet of Things. Physics Procedia, 33,561-566. http://dx.doi.org/10.1016/j.phpro.2012.05.104 6. F. Bonomi, R. Milito, P. Natarajan, and J. Zhu, “Fog computing: a platform for internet of things and analytics,” in Big Data and Internet of Things: A RoadMap for Smart Environments, pp. 169–186, Springer, Berlin, Germany, 2014. 7. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami,“Internet of Things (IoT): a vision, architectural elements,and future directions,” Future Generation Computer Systems, vol. 29, no. 7,pp. 1645–1660, 2013. 8. Jayavardhana, G., Rajkumar, B., Marusic, S. and Palaniswami, M. (2013) Internet of Things: A Vision, Architectural Elements, and Future Directions. Future Generation. 9. Sebastian, S., Ray, P.P., 2015. Development of IoT invasive architecture for complying with health of home. In: Proceedings of I3CS, Shillong, pp. 79–83. 10. Somayya Madakam, R. Ramaswamy, Siddharth Tripathi Internet of Things (IoT): A Literature Review Journal of Computer and Communications, 2015, 3, 164-173. Published Online May 2015 in SciRes. 11. Tuhin Borgohain, Uday Kumar, Sugata Sanyal,”Survey of Security and Privacy Issues of Internet of Things” Int. J. Advanced Networking and Applications Volume: 6 Issue: 4 Pages: 2372-2378 (2015) ISSN: 0975-0290. 12. The Internet of Things Reference Model, Whitepaper from Cisco 13. The Intel IoT platform, Architecture Specification White paper 14. Zeeshan Javeed,” Edge Analytics, the pros and cons of immediate local insight, 2017 blog ..
- 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.
- International Journal of Innovative Research in Information Security, 09 (2): 28-38 (May 2023)1 M. Fernando and J. Wijayanayaka, "Low cost approach for real time sign language recognition," 2013 IEEE 8th International Conference on Industrial and Information Systems, 2013, pp. 637-642, https://doi.org/10.1109/iciinfs.2013.6732059 2 M. Z. Islam, M. S. Hossain, R. ul Islam and K. Andersson, "Static Hand Gesture Recognition using Convolutional Neural Network with Data Augmentation," 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2019, pp. 324-329, https://doi.org/10.1109/iciev.2019.8858563 3 E. Kaya and T. Kumbasar, "Hand Gesture Recognition Systems with the Wearable Myo Armband," 2018 6th International Conference on Control Engineering & Information Technology (CEIT), 2018, pp. 1-6, https://doi.org/10.1109/ceit.2018.8751927 4 Lesha Bhansali and Meera Narvekar. Gesture Recognition to Make Umpire Decisions. International Journal of Computer Applications 148(14):26-29, August 2016. https://doi.org/10.5120/ijca2016911312 5 Suvarna Nandyal and Suvarna Laxmikant Kattimani 2021 J. Phys.: Conf. Ser. 2070 012148 6 Y. Madhuri, G. Anitha. and M. Anburajan., "Vision- based sign language translation device," 2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013, pp. 565-568, https://doi.org/10.1109/icices.2013.6508395 7 Nusirwan Anwar bin Abdul Rahman, Kit Chong Wei and John See Faculty of Information Technology, Multimedia University. 8 Moin, A., Zhou, A., Rahimi, A. et al. A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition. Nat Electron 4, 54–63 (2021). https://doi.org/10.1038/s41928-020-00510-8 9 Ravi, H. Venugopal, S. Paul and H. R. Tizhoosh, Ä Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features," 2018 IEEE SymposiumSeries on Computational Intelligence (SSCI), 2018, pp. 1396-1402, https://doi.org/10.1109/ssci.2018.8628877 10 M. A. Shahjalal, Z. Ahmad, R. Rayan and L. Alam, Än approach to automate the scorecard in cricket with computer vision and machine learning," 2017 3rd International Conference on Electrical Information and Communication Technology (EICT), 2017, pp. 1-6, https://doi.org/10.1109/eict.2017.8275204.
- IJIRIS::International Journal of Innovative Research in Information Security, 3 (3): 22-27 (March 2016)
- International Journal of Innovative Research in Information Security, 8 (3): 27-33 (August 2021)1. Abdulkadir Sengur, “An expert system based on linear Discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases”, ELSEVIER, Expert Systems with Applications 35, 214-222, 12 June 2007. 2. Jain Yu, “General C-Means Clustering Model”, IEEE Transactions On Pattern Analysis And Machine Intelugence, VOL. 27, NO. 8, August 2005. 3. Meyer-Baese, O. Lange, A. wismueller, and M. K. Hurdal, “Analysis of Dynamic Susceptibility constrast MRI Time Series Based on Unsupervised Clustering Methods”, IEEE Transactions on Information Technology in Biomedicine, VOL. 11, NO. 5, September 2007. 4. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America. 5. Fraser, H.S.F., et al., “Differential diagnoses of the heart disease program have better sensitivity than Resident Physicians”, Tufts-New England Medical Center, Boston, MA(2001). 6. Mohammad Eid Alzaharani, Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”, Issue,1, Vol 5, , KKU Journal of Basic and Applied Sciences, Mar 2019 , Page 6-15. 7. Frawley and Piatetsky-Shapiro, 1996. Knowledge Discovery in Databases: An Overview. The AAAI/MIT Press, Menlo Park, C.A. 8. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, ISSN: 2278-3075, New Delhi, India. 9. I. Turkoglu, A. Arslan, E. Ilkay, “An expert system for diagnosis of the heart valve diseases”, Expert Systems with Applications vol.23, pp. 229–236, 2002. 10. I. 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- International Journal of Innovative Research in Information Security, VIII (II): 06-09 (July 2021)1. Door Unlock using Face Recognition (Abdul Azeem, Sathuluri Mallikarjun Rao,Kandula Rama Rao, Shaik Akbar Basha, Harsha Pedarla, Modela Gopi) 2. Facial Recognition Enabled Smart Door Using Microsoft Face API (Karan Maheshwari , Nalini N) 3 Automated door access control system using face recognition (Tejas Saraf, Ketan Shukla, Harish Balkhande, Ajinkya Deshmukh) 3. Facial recognition enabled smart door unlock system(M Vamsi Krishna, A Bhargav Reddy, V Sandeep) 4. Smart Door with Face UnlockApache2.0 (https://create.arduino.cc) (Divins Mathew) 5. Makers Pro Projects(Simple Door Lock Using Face recognition Solenoid Lock)(Muhammad Aqib).
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- IJIRIS:: International Journal of Innovative Research in Information Security, 2017 (2): 14-27 (February 2017)
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