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Alatawi, Mohammed Naif
- A Hybrid Cryptography and LogiXGBoost Model for Intelligent and Privacy Protection in Wireless Body Sensor Networks (WBSNS)
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Authors
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1 Department of Computer Information Technology, University of Tabuk, Tabuk, SA
1 Department of Computer Information Technology, University of Tabuk, Tabuk, SA
Source
International Journal of Computer Networks and Applications, Vol 10, No 2 (2023), Pagination: 166-179Abstract
An increasing number of healthcare applications are making use of wireless body sensor networks (WBSNs). WBSN technology provides a framework that allows for remote physiological monitoring of patients without the use of wired connections in the house. Furthermore, these systems provide real-time data transfer for medical personnel, allowing them to make timely decisions regarding patient care. Despite this, worries remain about patient data being compromised. This research presents a strategy for protecting patient-provider communications by making use of WBSNs. To solve the problem of how to securely store sensitive information on blockchains, a hybrid cryptographic architecture is proposed. The strengths of both public key and symmetric key cryptography are leveraged in my approach. In order to achieve this goal, I have developed a new algorithm by fusing the AES, RSA, and Blowfish algorithms. My experiments have shown that the proposed solution can keep private data safe without affecting its scalability. Using Logi-XGB as a prediction model for attacks, the proposed approach can successfully thwart 99.7 percent of them.Keywords
WBSNs, IoT, Machine Learning, Logi-XGB, XGB, DL, Blockchain.Full Text
References
- W. Xu, Wu, Daneshmand, Liu, “A data privacy protective mechanism for WBAN,” Wirel. Commun. Mob. Comput., no. February 2015, pp. 421–430, 2015, doi: 10.1002/wcm.
- V. Odelu, S. Saha, R. Prasath, L. Sadineni, M. Conti, and M. Jo, “Efficient privacy preserving device authentication in WBANs for industrial e-health applications,” Comput. Secur., vol. 83, pp. 300–312, 2019, doi: 10.1016/j.cose.2019.03.002.
- A. Bengag, O. Moussaoui, and M. Moussaoui, “A new IDS for detecting jamming attacks in WBAN,” 2019 3rd Int. Conf. Intell. Comput. Data Sci. ICDS 2019, pp. 1–5, 2019, doi: 10.1109/ICDS47004.2019.8942268.
- H. Wang, H. Fang, L. Xing, and M. Chen, “An integrated biometric-based security framework using wavelet-domain HMM in wireless body area networks (WBAN),” IEEE Int. Conf. Commun., 2011, doi: 10.1109/icc.2011.5962757.
- Z. Ullah et al., “Energy-efficient harvested-aware clustering and cooperative routing protocol for WBAN (E-HARP),” IEEE Access, vol. 7, pp. 100036–100050, 2019, doi: 10.1109/ACCESS.2019.2930652.
- F. A. Khan, A. Ali, H. Abbas, and N. A. H. Haldar, “A cloud-based healthcare framework for security and patients’ data privacy using wireless body area networks,” Procedia Comput. Sci., vol. 34, pp. 511–517, 2014, doi: 10.1016/j.procs.2014.07.058.
- S. Al-Janabi, I. Al-Shourbaji, M. Shojafar, and S. Shamshirband, “Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications,” Egypt. Informatics J., vol. 18, no. 2, pp. 113–122, 2017, doi: 10.1016/j.eij.2016.11.001.
- P. S. Brar, B. Shah, J. Singh, F. Ali, and D. Kwak, “Using Modified Technology Acceptance Model to Evaluate the Adoption of a Proposed IoT-Based Indoor Disaster Management Software Tool by Rescue Workers,” Sensors, vol. 22, no. 5, 2022, doi: 10.3390/s22051866.
- F. Li and J. Hong, “Efficient Certificateless Access Control for Wireless Body Area Networks,” IEEE Sens. J., vol. 16, no. 13, pp. 5389–5396, 2016, doi: 10.1109/JSEN.2016.2554625.
- M. S. Hajar, M. O. Al-Kadri, and H. K. Kalutarage, “A survey on wireless body area networks: architecture, security challenges and research opportunities,” Comput. Secur., vol. 104, 2021, doi: 10.1016/j.cose.2021.102211.
- Z. Zhengl, X. Zheng, J. Tian, and M. Shu, “A Transmission Power Control Algorithm for Wireless Body Area Networks,” Proc. 2018 IEEE 22nd Int. Conf. Comput. Support. Coop. Work Des. CSCWD 2018, vol. 3, pp. 98–103, 2018, doi: 10.1109/CSCWD.2018.8465245.
- S. Jegadeesan, M. Azees, N. Ramesh Babu, U. Subramaniam, and J. D. Almakhles, “EPAW: Efficient Privacy Preserving Anonymous Mutual Authentication Scheme for Wireless Body Area Networks (WBANs),” IEEE Access, vol. 8, pp. 48576–48586, 2020, doi: 10.1109/ACCESS.2020.2977968.
- M. Babar, M. S. Khan, U. Habib, B. Shah, F. Ali, and D. Song, “Scalable Edge Computing for IoT and Multimedia Applications Using Machine Learning,” Human-centric Comput. Inf. Sci., vol. 11, 2021, doi: 10.22967/HCIS.2021.11.041.
- D. Thakur, Y. Kumar, A. Kumar, and P. K. Singh, Applicability of Wireless Sensor Networks in Precision Agriculture: A Review, no. 0123456789. Springer US, 2019. doi: 10.1007/s11277-019-06285-2. [15] Bangotra, Deep Kumar, et al. "An intelligent opportunistic routing algorithm for wireless sensor networks and its application towards e-healthcare." Sensors 20.14 (2020): 3887.
- I. Kaushik and N. Sharma, Black Hole Attack and Its Security Measure in Wireless Sensors Networks, vol. 1132. 2020. doi: 10.1007/978-3-030-40305-8_20.
- P. Gangwani, A. Perez-Pons, T. Bhardwaj, H. Upadhyay, S. Joshi, and L. Lagos, “Securing environmental IoT data using masked authentication messaging protocol in a DAG-based blockchain: IOTA tangle,” Futur. Internet, vol. 13, no. 12, 2021, doi: 10.3390/fi13120312.
- P. Vijayakumar, M. S. Obaidat, M. Azees, S. H. Islam, and N. Kumar, “Efficient and Secure Anonymous Authentication with Location Privacy for IoT-Based WBANs,” IEEE Trans. Ind. Informatics, vol. 16, no. 4, pp. 2603–2611, 2020, doi: 10.1109/TII.2019.2925071.
- M. Wazid, A. K. Das, J. J. P. C. Rodrigues, S. Shetty, and Y. Park, “IoMT Malware Detection Approaches: Analysis and Research Challenges,” IEEE Access, vol. 7, pp. 182459–182476, 2019, doi: 10.1109/ACCESS.2019.2960412.
- A. M. Joshi, P. Jain, S. P. Mohanty, and N. Agrawal, “IGLU 2.0: A New Wearable for Accurate Non-Invasive Continuous Serum Glucose Measurement in IoMT Framework,” IEEE Trans. Consum. Electron., vol. 66, no. 4, pp. 327–335, 2020, doi: 10.1109/TCE.2020.3011966.
- S. Manimurugan et al., “Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence,” Sensors, vol. 22, no. 2, 2022, doi: 10.3390/s22020476.
- Shilan S. Hameed et al., “A Hybrid Lightweight System for Early Attack Detection in the IoMT Fog," Sensors 2021, 21(24), 8289; https://doi.org/10.3390/s21248289
- S. Razdan and S. Sharma, “Internet of Medical Things (IoMT): Overview, Emerging Technologies, and Case Studies,” IETE Tech. Rev. (Institution Electron. Telecommun. Eng. India), 2021, doi: 10.1080/02564602.2021.1927863.
- J. Zhou, Z. Cao, X. Dong, N. Xiong, and A. V. Vasilakos, “4S: A secure and privacy-preserving key management scheme for cloud-assisted wireless body area network in m-healthcare social networks,” Inf. Sci. (Ny)., vol. 314, no. September, pp. 255–276, 2015, doi: 10.1016/j.ins.2014.09.003.
- A. H. Abdullah, R. A. Butt, M. W. Ashraf, K. N. Qureshi, and F. Ullah, “Securing Data Communication in Wireless Body Area Networks Using Digital Signatures,” Tech. J., vol. 23, no. 02, pp. 50–55, 2018.
- M. Shuai, B. Liu, N. Yu, L. Xiong, and C. Wang, “Efficient and privacy-preserving authentication scheme for wireless body area networks,” J. Inf. Secur. Appl., vol. 52, p. 102499, 2020, doi: 10.1016/j.jisa.2020.102499.
- K. S. Raja and U. Kiruthika, “An Energy Efficient Method for Secure and Reliable Data Transmission in Wireless Body Area Networks Using RelAODV,” Wirel. Pers. Commun., vol. 83, no. 4, pp. 2975–2997, 2015, doi: 10.1007/s11277-015-2577-x.
- A. H. Sodhro, Y. Li, and M. A. Shah, “Energy-efficient adaptive transmission power control for wireless body area networks,” IET Commun., vol. 10, no. 1, pp. 81–90, 2016, doi: 10.1049/iet-com.2015.0368.
- Y. Vineetha, Y. Misra, and K. Krishna Kishore, “A real time IoT based patient health monitoring system using machine learning algorithms,” Eur. J. Mol. Clin. Med., vol. 7, no. 4, pp. 2912–2925, 2020.
- R. Kadel, N. Islam, K. Ahmed, and S. J. Halder, “Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey,” J. Sens. Actuator Networks, vol. 8, no. 1, p. 1, 2018, doi: 10.3390/jsan8010001.
- G. Marquez, H. Astudillo, and C. Taramasco, “Exploring security issues in telehealth systems,” Proc. - 2019 IEEE/ACM 1st Int. Work. Softw. Eng. Heal. SEH 2019, no. March, pp. 65–72, 2019, doi: 10.1109/SEH.2019.00019.
- R. Latha and P. Vetrivelan, “Decision making patient assistive strategies in wireless body area networks for remote healthcare system,” Int. J. Recent Technol. Eng., vol. 8, no. 1, pp. 2199–2203, 2019.
- B. Latré, B. Braem, I. Moerman, C. Blondia, and P. Demeester, “A survey on wireless body area networks,” Wirel. Networks, vol. 17, no. 1, pp. 1–18, 2011, doi: 10.1007/s11276-010-0252-4.
- H. Ur Rahman, G. Wang, M. Z. A. Bhuiyan, and J. Chen, “In-network generalized trustworthy data collection for event detection in cyber-physical systems,” PeerJ Comput. Sci., vol. 7, no. May, pp. 1–25, 2021, doi: 10.7717/PEERJ-CS.504.
- M. Anand Kumar and C. Vidya Raj, “On designing lightweight QoS routing protocol for delay-sensitive wireless body area networks,” 2017 Int. Conf. Adv. Comput. Commun. Informatics, ICACCI 2017, vol. 2017-Janua, pp. 740–744, 2017, doi: 10.1109/ICACCI.2017.8125930.
- M. Ghamari, B. Janko, R. S. Sherratt, W. Harwin, R. Piechockic, and C. Soltanpur, “A survey on wireless body area networks for ehealthcare systems in residential environments,” Sensors (Switzerland), vol. 16, no. 6, pp. 1–33, 2016, doi: 10.3390/s16060831.
- R. Negra, I. Jemili, and A. Belghith, “Wireless Body Area Networks: Applications and Technologies,” Procedia Comput. Sci., vol. 83, pp. 1274–1281, 2016, doi: 10.1016/j.procs.2016.04.266.
- M. Shuai, B. Liu, N. Yu, L. Xiong, and C. Wang, “Efficient and privacy-preserving authentication scheme for wireless body area networks,” J. Inf. Secur. Appl., vol. 52, p. 102499, 2020, doi: 10.1016/j.jisa.2020.102499.
- A. Muthulakshmi and K. Shyamala, “Efficient Patient Care Through Wireless Body Area Networks—Enhanced Technique for Handling Emergency Situations with Better Quality of Service,” Wirel. Pers. Commun., vol. 95, no. 4, pp. 3755–3769, 2017, doi: 10.1007/s11277-017-4024-7.
- M. S. Arshad Malik, M. Ahmed, T. Abdullah, N. Kousar, M. N. Shumaila, and M. Awais, “Wireless body area network security and privacy issue in E-healthcare,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 4, pp. 209–215, 2018, doi: 10.14569/IJACSA.2018.090433.
- M. Azees, P. Vijayakumar, M. Karuppiah, and A. Nayyar, “An efficient anonymous authentication and confidentiality preservation schemes for secure communications in wireless body area networks,” Wirel. Networks, vol. 27, no. 3, pp. 2119–2130, 2021, doi: 10.1007/s11276-021-02560-y.
- F. Akhtar and M. H. Rehmani, “Energy Harvesting for Self-Sustainable Wireless Body Area Networks,” IT Prof., vol. 19, no. 2, pp. 32–40, 2017, doi: 10.1109/MITP.2017.34.
- J. Zhu, G. Zhang, Z. Zhu, and K. Yang, “Joint Time Switching and Transmission Scheduling for Wireless-Powered Body Area Networks,” Mob. Inf. Syst., vol. 2019, 2019, doi: 10.1155/2019/9620153.
- N. Mekki, M. Hamdi, T. Aguili, and T. H. Kim, “A Privacy-Preserving Scheme Using Chaos Theory for Wireless Body Area Network,” 2018 14th Int. Wirel. Commun. Mob. Comput. Conf. IWCMC 2018, pp. 774–779, 2018, doi: 10.1109/IWCMC.2018.8450293.
- B. Narwal and A. K. Mohapatra, “SAMAKA: Secure and Anonymous Mutual Authentication and Key Agreement Scheme for Wireless Body Area Networks,” Arab. J. Sci. Eng., vol. 46, no. 9, pp. 9197–9219, 2021, doi: 10.1007/s13369-021-05707-3.
- F. ; Khan et al., “Development of a Model for Spoofing Attacks in Internet of Things,” Math. 2022, Vol. 10, Page 3686, vol. 10, no. 19, p. 3686, Oct. 2022, doi: 10.3390/MATH10193686.
- A. A. Al-Atawi, F. Khan, and C. G. Kim, “Application and Challenges of IoT Healthcare System in COVID-19,” Sensors 2022, Vol. 22, Page 7304, vol. 22, no. 19, p. 7304, Sep. 2022, doi: 10.3390/S22197304.
- M. H. da Fonseca, F. Kovaleski, C. T. Picinin, B. Pedroso, and P. Rubbo, “E-Health Practices and Technologies: A Systematic Review from 2014 to 2019,” Healthc. (Basel, Switzerland), vol. 9, no. 9, Sep. 2021, doi: 10.3390/HEALTHCARE9091192.
- X. Wu, J. Xu, W. Liang, and W. Jian, “Research on Authentication and Key Agreement Protocol of Smart Medical Systems Based on Blockchain Technology,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 13156 LNCS, pp. 439–452, 2022, doi: 10.1007/978-3-030-95388-1_29.
- L. Ma, Y. Ge, and Y. Zhu, “TinyZKP: A lightweight authentication scheme based on zero-knowledge proof for wireless body area networks,” Wirel. Pers. Commun., vol. 77, no. 2, pp. 1077–1090, 2014, doi: 10.1007/s11277-013-1555-4.
- S. Saleem, S. Ullah, and K. S. Kwak, “A study of IEEE 802.15.4 security framework for wireless body area networks,” Sensors, vol. 11, no. 2, pp. 1383–1395, 2011, doi: 10.3390/s110201383. How to cite this article:
- S. J. Hussain, M. Irfan, N. Z. Jhanjhi, K. Hussain, and M. Humayun, “Performance Enhancement in Wireless Body Area Networks with Secure Communication,” Wirel. Pers. Commun., vol. 116, no. 1, pp. 1–22, 2021, doi: 10.1007/s11277-020-07702-7.
- P. T. Sharavanan, D. Sridharan, and R. Kumar, “A Privacy Preservation Secure Cross Layer Protocol Design for IoT Based Wireless Body Area Networks Using ECDSA Framework,” J. Med. Syst., vol. 42, no. 10, 2018, doi: 10.1007/s10916-018-1050-2.
- A Hybrid Cryptographic Cipher Solution for Secure Communication in Smart Cities
Abstract Views :81 |
PDF Views:1
Authors
Affiliations
1 Information Technology Department, Faculty of Computers and Information Technology, University of Tabuk, SA
1 Information Technology Department, Faculty of Computers and Information Technology, University of Tabuk, SA
Source
International Journal of Computer Networks and Applications, Vol 10, No 5 (2023), Pagination: 776-791Abstract
The proliferation of sensor networks and other Internet of Things devices has prompted growing privacy and safety concerns. These devices have very little memory, computing power, and storage space. Security for low-powered IoT devices, such as RFID tags, nodes in wireless sensor networks (WSNs), etc., has become increasingly difficult. So, enough security for these devices was achieved by the development of lightweight cryptographic algorithms. In recent years, "smart cities" have emerged to improve contemporary lifestyles and further social development. These are enabled by developments in ICT and may open up new avenues for social and economic development. However, not everything is as secure and private as we hope it will be. The effects of the Internet of Things on IoT-based data transmission networks have been the subject of extensive study over the past few decades. Due to this flaw in the authentication process, verifying the identification of such people safely is extremely difficult. The study's goal is to provide a safe authentication technique for IoT that makes use of Hybrid and Adaptive Cryptography (HAC). In this study, we focus on authentication as a potential security risk in IoT data transmission networks. The study proposes a hybrid and adaptive cryptography (HAC) approach to authentication for the Internet of Things as a means of resolving this issue. The proposed technique of cryptographic protection makes use of the exclusive-or (Ex-or) operation, a hashing function, and a hybrid encryption strategy based on the Rivest Shamir Adleman (RSA) and the Advanced Encryption Standard (AES) algorithms. The proposed solution is simple to implement while effectively overcoming the cryptographic system's constraints via a hybrid encryption mechanism. Using the Diffie-Hellman key exchange protocol, the RSA algorithm for privacy, and the SHA-1 algorithm for authenticity, this study aims to provide a unified security architecture for modern networks.Keywords
Smart City, Authentication, IoT, RSA, AES, Cryptography, SHA, HAC, WSN, GPS, RFID.Full Text
References
- Kundu, A., Das, J. C., De, D., & Debnath, B. (2022). Reversible Vigenere Cryptographic Cipher in Quantum-Dot Cellular Automata. In 2022 IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON).
- Dorobantu, O. G., Apostol, A. G., & Datcu, O. (2022). The poly-alphabetic substitution ciphers - a viable solution for IoT applications? In 2022 International Symposium on Electronics and Telecommunications (ISETC).
- Jassim, S. A., & Farhan, A. K. (2021). A Survey on Stream Ciphers for Constrained Environments. In 2021 1st Babylon International Conference on Information Technology and Science (BICITS).
- Iqbal, M., Velasco, L., Costa, N., Napoli, A., Pedro, J., & Ruiz, M. (2022). LPsec: a fast and secure cryptographic system for optical connections. Journal of Optical Communications and Networking, 14(4).
- Vignesh, R. S., Chinnammal, V., Gururaj.D, Kishore Kumar, A. T. A., & Karthikeyan, K. V. (2023). Secured Data Access and Control Abilities Management over Cloud Environment using Novel Cryptographic Principles. In 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI).
- Windarta, S., Suryadi, S., Ramli, K., Lestari, A. A., Wildan, W., Pranggono, B., & Wardhani, R. W. (2023). Two New Lightweight Cryptographic Hash Functions Based on Saturnin and Beetle for the Internet of Things. IEEE Access, 11.
- Hariss, K., & Noura, H. (2022). ACiS: Lightweight and Robust Homomorphic Block Cipher Additive Scheme. In 2022 International Wireless Communications and Mobile Computing (IWCMC).
- Datta, B. P. R. V., & Sreehari, K. N. (2023). FPGA Implementation of Different Layers of Present Cipher. In 2023 3rd International Conference on Intelligent Technologies (CONIT).
- Baksi, A., Kumar, S., & Sarkar, S. (2022). A New Approach for Side Channel Analysis on Stream Ciphers and Related Constructions. IEEE Transactions on Computers, 71(10).
- Liu, Y., He, J., Ma, H., Qu, T., & Dai, Z. (2022). A Comprehensive Evaluation of Integrated Circuits Side-Channel Resilience Utilizing Three-Independent-Gate Silicon Nanowire Field Effect TransistorsBased Current Mode Logic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(10).
- Hussain, S., & Mohideen, P. M. S. (2023). Advanced Machine Learning Approach for Suspicious Coded Message Detection using Enigma Cipher. In 2023 Second International Conference on Electronics and Renewable Systems (ICEARS).
- Irodah, R. M., & Adriansyah, A. (2022). Analysis and Design of Self-service Local Water Company (LWC) using Vernam Cipher Cryptography Algorithm. In 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS).
- Velasco, L., Iqbal, M., & Ruiz, M. (2023). Secure Optical Communications Based on Fast Cryptography. In 2023 23rd International Conference on Transparent Optical Networks (ICTON).
- Parida, D., & Bhanja, U. (2023). Smart Meters: Cyber Security Issues and Their Solutions. In 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN).
- Upadhyaya, D., Gay, M., & Polian, I. (2023). LEDA: Locking Enabled Differential Analysis of Cryptographic Circuits. In 2023 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).
- Iqbal, M., Ari Laksmono, A. M., Prihatno, A. T., Pratama, D., Jeong, B., & Kim, H. (2023). Enhancing IoT Security: Integrating MQTT with ARIA Cipher 256 Algorithm Cryptography and mbedTLS. In 2023 International Conference on Platform Technology and Service (PlatCon).
- Garcia, D., & Liu, H. (2021). A Study of Post Quantum Cipher Suites for Key Exchange. In 2021 IEEE International Symposium on Technologies for Homeland Security (HST).
- Salman, R. S., Farhan, A. K., & Shakir, A. (2022). Lightweight Modifications in the Advanced Encryption Standard (AES) for IoT Applications: A Comparative Survey. In 2022 International Conference on Computer Science and Software Engineering (CSASE).
- Segala, A. (2022). Essential Cryptography for JavaScript Developers: A practical guide to leveraging common cryptographic operations in Node.js and the browser. Packt Publishing.
- Rajashree, S., Vineetha, B., Mehta, A. B., & Honnavalli, P. B. (2022). Homomorphic Encryption Approach for String Concatenation. In 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA).
- Unger, W., Babinkostova, L., Borowczak, M., & Erbes, R. (2021). Side-channel Leakage Assessment Metrics: A Case Study of GIFT Block Ciphers. In 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
- Jassim, S. A., Farhan, A. K., & Radie, A. H. (2021). Using a Hybrid Pseudorandom Number Generator for Cryptography in the Internet of Things. In 2021 4th International Iraqi Conference on Engineering Technology and Their Applications (IICETA).
- Dar, M. A., Askar, A., & Bhat, S. A. (2022). Blockchain based Secure Data Exchange between Cloud Networks and Smart Hand-held Devices for use in Smart Cities. In 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
- Biesmans, J., Regazzoni, F., & Mentens, N. (2023). Application-specific FPGAs: cryptographic agility through customized reconfigurable architectures. In 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
- Umamaheswari, S., Vishal, N. R., Pragadesh, N. R., & Lavanya, S. (2023). Secure Data Transmission using Hybrid Crypto Processor based on AES and HMAC Algorithms. In 2023 2nd International Conference on Advancements in Electrical, Electronics, Communication and Automation (ICAECA).