Abstract
In the Internet, the content of digital images is extremely diverse. This is the most important way for people to obtain and spread the news to communicate and communicate. Looking at the structure of image encryption algorithms from an image encryption algorithm structure perspective, broadly categorize the chaotic encryption structure into three types. These include an encryption structure specifically for encryption operations, an encryption structure for diffusion operations, and an encryption structure that combines encryption and chaotic operations. In addition to connecting computers and other disciplines in the form of establishing an English corpus, the content is also more diversified. In summary, the language deviation detection algorithm is of appropriate complexity. After being integrated into the commercial communication system, the computer load will increase to a tolerable limit. Therefore, the detection algorithm can be used in the laboratory or as a commercial detection. Due to the relatively limited research in English linguistics, particularly in the field of English translation and oral English, it is crucial to focus on the structure of the English corpus. Enhancing the English corpus and closely integrating it with English linguistics will strengthen the education and teaching of English.
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References
Boroumand M, Chen M, Fridrich J (2018) Deep residual network for steganalysis of digital images. IEEE Trans Inf Forensics Secur 14(5):1181–1193
Boulton A, Cobb T (2017) Corpus use in language learning: a meta-analysis. Lang Learn 67(2):348–393
Cushing ST (2017) Corpus linguistics in language testing research. Lang Test 34(4):441–449
Gries TS (2015) The most under-used statistical method in corpus linguistics: multi-level (and mixed-effects) models. Corpora 10(1):95–125
Khraisat A, Gondal I, Vamplew P, Kamruzzaman J (2019) Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity 2(1):1–22
Kumari M, Gupta S, Sardana P (2017) A survey of image encryption algorithms. 3D Res 8:1–35
Li C, Lin D, Feng B, Lü J, Hao F (2018) Cryptanalysis of a chaotic image encryption algorithm based on information entropy. IEEE Access 6:75834–75842
Li LP, Milani B, Pruijm M, Kohn O, Sprague S, Hack B, Prasad P (2020) Renal BOLD MRI in patients with chronic kidney disease: comparison of the semi-automated twelve layer concentric objects (TLCO) and manual ROI methods. Magn Reson Mater Phys, Biol Med 33:113–120
Lin J, Yu W, Zhang N, Yang X, Zhang H, Zhao W (2017) A survey on internet of things: architecture, enabling technologies, security and privacy, and applications. IEEE Internet Things J 4(5):1125–1142
Lowie W, Verspoor M (2015) Variability and variation in second language acquisition orders: a dynamic reevaluation. Lang Learn 65(1):63–88
Solan LM (2020) Corpus linguistics as a method of legal interpretation: some progress, some questions. Int J Semiot Law-Revue Int De Sémiot Jurid 33:283–298
Vosiljonov A (2022) Basic theoretical principles of corpus linguistics. Acad Globe 3(02):173–175
Wilhite SJ (2017) The Composition of the Gospel of Thomas: Original Language and Influences, written by Simon Gathercole. Gnos J Gnos Stud 2(2):257–259
Zauche LH, Thul TA, Mahoney AED, Stapel-Wax JL (2016) Influence of language nutrition on children’s language and cognitive development: an integrated review. Early Child Res Q 36:318–333
Zhou X, Zafarani R (2020) A survey of fake news: fundamental theories, detection methods, and opportunities. ACM Comput Surv (CSUR) 53(5):1–40
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This paper is partial fulfillment of the research program English Translation and Publishing of Annals of Apricot Village: Scientific Research Program of Anhui Universities (No.2022AH051825).
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Longran, Z., Sheng, L. & Jiulong, C. Application of image encryption algorithm and abnormal speech quality detection in English corpus teaching system. Int J Syst Assur Eng Manag (2023). https://doi.org/10.1007/s13198-023-02174-x
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DOI: https://doi.org/10.1007/s13198-023-02174-x