Abstract
When analyzing the quality of the power meter software, traditional software safety detection tools have limitations such as difficulty in obtaining source code, low test efficiency, and blindness in the test process . Therefore, the binary dynamic instrumentation technology for embedded software is studied, the fast execution path storage and analysis algorithm is designed, the embedded software quality evaluation model is proposed, and a complete solution to the safety detection problem of the electric energy meter is given. Compared with the traditional solution, this paper implements fuzz testing without the need of source code, calculates test coverage, thus improves the reliability of the test, and can scientifically evaluate the software security quality.
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References
Van Doorn, P.M., Lightbody, S.H., Ki, C.S.S.: Power meter for determining parameters of muliphase power lines (1998)
James, W.: Electric power measurement system and hall effect based electric power meter for use therein (1987)
Software engineering . Computer 8(2), 72–72
Jay, J.: Poorly-secured smart energy meters could place millions at risk from hackers, warns GCHQ[EB/OL] (2018). https://www.teiss.co.uk/smart-energy-meters-security-gchq
Makonin, S., Popowich, F., Gill, B.: The cognitive power meter: looking beyond the smart meter (2013)
Waheib, B.M., et al.: Design of smart power meter for local electrical power generators in Baghdad city. IOP Conf. Ser. Mater. Sci. Eng. 881, 012105 (2020)
Son, M.H.: Power-consumption control apparatus and method for smart meter (2011)
Zhang, S.L., Zhou, N., Wu, J.X.: The fuzzy integrated evaluation of embedded system security. In: International Conference on Embedded Software & Systems. IEEE Computer Society (2008)
Fujiwara, K., Matoba, O.: Detection and evaluation of security features embedded in paper using spectral-domain optical coherence tomography. Opt. Rev. 18(1), 171–175 (2011)
Tah, J.H.M., Carr, V.: A proposal for construction project risk assessment using fuzzy logic. Constr. Manag. Econ. 18(4), 491–500 (2000)
Dongmei, Z., Changguang, W., Jianfeng, M.: A risk assessment method of the wireless network security. J. Electron. 24(3), 428–432 (2007). https://doi.org/10.1007/s11767-006-0247-6
Liu, Y.-L., Jin, Z.-G.: SAEW: a security assessment and enhancement system of Wireless Local Area Networks (WLANs). Wireless Pers. Commun. 82(1), 1–19 (2014). https://doi.org/10.1007/s11277-014-2188-y
Kim, D.R., Moon, J.S.: A study for protecting the virtual memory of applications. IEMEK J. Embed. Syst. Appl. 11(6), 335–341 (2016)
De Barros, M., et al.: Adaptive fuzzing system for web services. US 2013
Householder, A.D., Foote, J.M.: Probability-based parameter selection for black-box fuzz testing (2012)
Chen, Q.S., Chen, X.W.: Intelligent electric power monitor and meter reading system based on power line communication and OFDM. In: 2008 Congress on Image and Signal Processing, vol. 4, pp. 59–63. IEEE (2008)
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This work is supported by Science and Technology Project of SGCC. (No.5600-201955458A-0–0-00).
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Feng, Z., Lingda, K., Yongjin, X., Xin, Y. (2022). Power Meter Software Quality Analysis Based on Dynamic Binary Instrumentation. In: Barolli, L., Yim, K., Chen, HC. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2021. Lecture Notes in Networks and Systems, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-79728-7_24
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DOI: https://doi.org/10.1007/978-3-030-79728-7_24
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