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编译好的 openSSL 最新版本 2023年3月份
编译好的 openSSL 最新版本 2023年的
March 14, 2023 - OpenSSL 3.1 is available. Also, Happy Pi Day. Users should currently install a 1.1.1 series + a 3.x series for maximum application compatibility. All application developers should begin migrating their applications to use OpenSSL 3.x series. Note that 3.0.x is a LTS release series while 3.1.x is not.
2023-11-11
图像加密(英文)
To overcome the challenges encountered in chaotic image encryption system, such as dynamic degradation, weak security, and low encryption efficiency, this paper proposes a new image encryption algorithm. In terms of key generation method, a
roulette wheel selection algorithm is designed, which effectively reduces dynamic degradation. In pixel coding, a linear congruence pixel transformation method is proposed, which enhances the security of pixel transform. In the overall layout of the encryption algorithm, the substitution-permutation-substitution structure is adopted.
Under the joint action of various aspects, encryption efficiency is improved while security of our proposed encryption algorithm is guaranteed. Additionally, during design, the motivation of each part of the algorithm is explained. Theoretical analysis and experimental results show our proposed algorithm has a good application prospect
2019-01-03
10 Steps to Earning Awesome Grades 十步赢得好成绩
这本书中,有一些很实用的内容,包括如何高效学习、战胜拖延、有序地生活等等。每个方面的内容对大学生都很有借鉴意义,推荐给学生党。如何有效地阅读课本,记笔记,写好论文,消除干扰。
另外,我们还能了解到国外大学的生活是什么样的。
2017-10-15
Local Shannon entropy measure with statistical tests for image randomness.pdf
In this paper we propose a new image randomness measure using Shannon entropy over local image blocks. The proposed local Shannon entropy measure overcomes several weaknesses
of the conventional global Shannon entropy measure, including unfair randomness
comparisons between images of different sizes, failure to discern image randomness before
and after image shuffling, and possible inaccurate scores for synthesized images. Statistical
tests pertinent to this new measure are also derived. This new measure is therefore both
quantitative and qualitative. The parameters in the local Shannon entropy measure are further
optimized for a better capture of local image randomness. The estimated statistics and
observed distribution from 50,000 experiments match the theoretical ones. Finally, two
examples are given, applying the proposed measure to image randomness among shuffled
images and encrypted images. Both examples show that the proposed method is more
effective and more accurate than the global Shannon entropy measure
2015-06-16
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