End to End Encrypted Smart Lock Using RSA based on Opinion from Social Media Review Comments

Article Sidebar

PDF
Published: Oct 7, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i11s.8100
Keywords:
Smart Lock, RSA, Door Lock System, HTTP Protocol, Opinion Mining

Main Article Content

S. Revathi
Professor, Department of Computer Science and Engineering B.S.Abdur Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India
Shreedevi
Asst. Prof (Sl.Gr.), Department of Computer Applications B.S.Abdur Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India
K. M. Monica
Assistant Professor, Senior Grade 1, SCOPE, VIT, Chennai
Bindu G
Associate Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
D. Menaga
Assistant Professor, CSE Department, St.Joseph’s Institute of Technology, Chennai

Abstract

In the modern era, from big apartments to small houses, startups to corporate buildings, protecting assets or preventing unauthorized persons are crucial problems. Often traditional locks like padlocks are prone to security risks since they can be easily bypassed. Existing smart lock systems are prone to Man in middle Attacks where digital keys can easily be duplicated. The review comments about prevailing smart locks technologies have been collected from various sources such as blogs and microblogs.  The data set is analyzed to discover the opinion of the people about the smartlock product. In this proposed system, an innovative smartlock system prototype is designed using current technologies. A smart lock system has been proposed which is encrypted end-to-end using the RSA algorithm. This system uses a one-time password sent to registered users combined with the master code to unlock the door. This system is designed as such only the users who are connected to a wireless local area network are able to access the smart lock system, this adds an additional layer of security. It is connected to the cloud and logs all the activity from booting to shutting down. The breach detection system along with image capture is also included to detect forced intrusions. The client functionality can be easily ported to any platform which supports HTTP protocol which tends to be the major advantage of the proposed work.

Article Details

How to Cite
Revathi, S. ., Shreedevi, S., Monica, K. M. ., G, B. ., & Menaga, D. . (2023). End to End Encrypted Smart Lock Using RSA based on Opinion from Social Media Review Comments. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11s), 282–290. https://doi.org/10.17762/ijritcc.v11i11s.8100
Issue
Vol. 11 No. 11s (2023)
Section
Articles

References

Shi C, Roy D, Krivenko P (2006) Alkali-activated cements and concretes. CRC Press, Boca Raton

Davidovits J (1991) Geopolymers. J Therm Anal Calorim 37:1633–1656

Okamura H., Ouchi M. Self-compacting concrete. J. Adv. Concr. Technol. 2003;1:5–15. doi: 10.3151/jact.1.5.

A. U. Zaman, A comprehensive study of the environmental and economic benefits of resource recovery from global waste management systems, J. Clean. Prod. 124 (2016) 41– 50. https://doi.org/10.1016/j.jclepro.2016.02.086.

A.M.N. Kashyap “Prediction Of Setting And Strength Characterstic Of Binary Blended Geopolymer Matrix”, i-manager’s Journal on Structural Engineering, Vol. 6 l No. 4 l December 2017 - February 2018

Mallinadh, A.K., Chandra Sekhar Rao, T., Ramana Rao, N.V. (2020). Strength and Behavior of Hybrid Fiber-Reinforced Geopolymer Concrete Columns Under Uniaxial Compression. In: Pancharathi, R., Sangoju, B., Chaudhary, S. (eds) Advances in Sustainable Construction Materials. Lecture Notes in Civil Engineering, vol 68. Springer, Singapore. https://doi.org/10.1007/978-981-15-3361-7_1

M. Maroof, N. ., & Abdul Waheed, M. . (2023). Energy Efficient Clustering and Routing using Energy Centric MJSO and MACO for Wireless Sensor Networks. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 213–221. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2648

Kashyap A.M., Rao T.C.S., Rao N.V.R. (2021) Durability Performance of Binary Blended Geopolymer Concrete. In: Abdel Wahab M. (eds) Proceedings of 1st International Conference on Structural Damage Modelling and Assessment. Lecture Notes in Civil Engineering, vol 110. Springer, Singapore. https://doi.org/10.1007/978-981-15-9121-1_15

N. Palankar, A. U. R. Shankar, B. M. Mithun, Investigations on Alkali-Activated Slag / Fly Ash Concrete with steel slag coarse aggregate for pavement structures, Int. J. Pavement Eng. 8436 (10) (2015) 1–13. https://doi.org/10.1080/10298436.2015.1095902.

Mr. Dharmesh Dhabliya, Prof. Ojaswini Ghodkande. (2016). Prevention of Emulation Attack in Cognitive Radio Networks Using Integrated Authentication . International Journal of New Practices in Management and Engineering, 5(04), 06 - 11. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/48.

B. M. Mithun, M. C. Narasimhan, N. Palankar, and A. U. Ravishankar, Flexural Fatigue performance of Alkali Activated Slag Concrete mixes incorporating Copper Slag as Fine Aggregate, SSP-Journal Civ. Eng. 10 (1) (2015) 7–18. https://doi.org/10.1515/sspjce-2015-0001.

Kushal Ghosh and Dr.Partha Ghosh, “Effect of %Na 2 O and %SiO 2on apparent porosity and sorptivity of fly ash-based geopolymer,” IOSRJournal of Engineering, Vol.2, no.8, Pp: 96–101, 2012.

Wardhono, A. (2019). Comparison study of class F and class C fly ashes as cement replacement material on strength development of non-cement mortar. IOP ConfSer Mater SciEng, 288.

Alexei Ivanov, Machine Learning for Traffic Prediction and Optimization in Smart Cities , Machine Learning Applications Conference Proceedings, Vol 3 2023.

Mallikarjuna Rao, G., &Gunneswara Rao, T. D. (2015). Final setting time and compressive strength of fly ash and GGBS-based geopolymer paste and mortar. Arab J SciEng, 40(11), 3067–3074.

Al-Shether, B., Al-Attar, T. S., Hassan, Z. A., AlShathr, B. S., Al-Attar, T. S., Al-Shether, B., AlAttar, T. S., & Hassan, Z. A. (2016b). Effect of curing system on metakaolin-based geopolymer concrete. J Univ Babylon - EngSci, 24(3), 569–576.

Alanazi, H., Yang M., Zhang, D., & Gao, Z. (2016). Bond strength of PCC pavement repairs using metakaolin-based geopolymer mortar. Cement Concr Compos, 65, 75–82. https://doi.org/10.1016/j.cemconcomp.2015.10.009- DOI

Alanazi, H., Yang, M., Zhang, D., & Gao, Z. (2017). Early strength and durability of metakaolinbasedgeopolymer concrete. Mag ConcrRes,https://doi.org/10.1680/jmacr.16.00118

Nath, P., &Sarker, P. K. (2017). Flexural strength and elastic modulus of ambient-cured blended lowcalcium fly ash geopolymer concrete. Construction and Building Materials, 130, 22–31.

Ma, S., Zhang, Z., & Liu, X. (2022). Comprehensive Understanding of Aluminosilicate

Joseph Miller, Peter Thomas, Maria Hernandez, Juan González, Carlos Rodríguez. Machine Learning for Decision Support in Uncertain Environments. Kuwait Journal of Machine Learning, 2(3). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/205

Phosphate Geopolymers: A Critical Review.Materials (Basel), 15(17), 5961. doi: 10.3390/ma15175961.

Muthadhi, A., Vanjinathan, J., &Durai, D. (2016). Experimental investigations on geopolymer concrete based on Class C Fly Ash. Indian J SciTechnol, 9(5), 1–5

Hardjito, D., Wallah, S. E., Sumajouw, D. M. J., &Rangan, B. V. (2004). On the development and properties of low calcium fly ash geopolymer concrete. ACI Mater J, 101(6), 467–472.

Karthik A, Sudalaimani K, Vijaya Kumar CT (2017) Investigation on mechanical properties of fy ash-ground granulated blast furnace slag based self-curing bio-geopolymer concrete. Constr Build Mater 149:338–349.