[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1741":3,"related-1741":58},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":9,"secondary_topics":22,"classification":23,"search_phrases":39,"slug":40,"view_count":15,"doi":41,"paper":42,"created_at":57},1741,"An Approach to Encrypt and Decrypt Satellite Images Based on S-box Matrix and RC4","https:\u002F\u002Fdoi.org\u002F10.25195\u002Fijci.v52i2.760","In this work we propose a new advanced scheme of the encryption and decryption of the satellite images using a dynamically generated substitution box (S -box) matrix integrated with the RC4 stream cipher. The satellite images whose data is usually huge and contains strong spatial correlations among adjacent pixels are challenging to conventional encryption techniques that do not, in many cases, provide a high level of security. To reduce such problems, the developed method will use a dynamic S-box based on a secret key, which will increase the nonlinearity and the strength of the system in confusion. To achieve adequate diffusion of the image data, the RC4 algorithm is used to produce a pseudo-random keystream. In the encryption process, pixel values are initially operated on by an XOR operation with the keystream, and then operated on by a nonlinear substitution via the dynamic S -box. These steps are reversed in the decryption process, which uses the inverse S -box, and reusing the key stream, which would guarantee the exact reproduction of the original image, without the loss of information. The security performance of the framework was tested using comprehensive experimental tests in Python in the Google Collaboratory environment. We looked at such metrics as uniformity of histograms, entropy of information, adjacent-pixel correlation coefficients (horizontal, vertical, and diagonal), and indicators of differential attacks (NPCR and UACI). The findings reveal that the encrypted images have a very uniform distribution of histograms, the entropy measures are also near to the theoretical maximum of 8 and the correlation coefficients are virtually near to zero. Moreover, the scheme is highly resistant to the differential cryptanalysis with NPCR values of over 99% and UACI values of nearly 33%. Therefore, the developed method is effective in terms of the ability to unite high security and sensible calculation, making it an secure storage and transmission of satellite imagery during remote sensing processes.","在本研究中，我们提出了一种新颖的高级卫星图像加密与解密方案，该方案采用动态生成的替换盒（S-box）矩阵，并与RC4流密码算法相结合。卫星图像数据通常庞大且相邻像素间存在强烈的空间相关性，这对传统加密技术构成了挑战，而传统方法在许多情况下无法提供高水平的安全性。为缓解这些问题，所开发的方法将利用基于密钥的动态S-box，从而增强系统的非线性及混淆强度。为实现图像数据的充分扩散，采用RC4算法生成伪随机密钥流。在加密过程中，像素值首先与密钥流进行异或（XOR）运算，随后通过动态S-box进行非线性替换。解密过程则逆转这些步骤，使用逆S-box并复用密钥流，从而确保原始图像的无损精确重建。该框架的安全性能通过在Google Collaboratory环境中使用Python进行的全面实验测试得到验证。我们考察了直方图均匀性、信息熵、相邻像素相关系数（水平、垂直及对角线方向）以及差分攻击指标（NPCR和UACI）等度量。结果表明，加密图像具有高度均匀的直方图分布，熵值接近理论最大值8，相关系数几乎趋近于零。此外，该方案对差分密码分析具有高度抵抗力，NPCR值超过99%，UACI值接近33%。因此，所开发方法在结合高安全性与合理计算效率方面表现有效，使其适用于遥感过程中卫星图像的安全存储与传输。",null,"Iraqi Journal for Computers and Informatics","2026-09-03T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题为卫星图像加密技术，与农业信息化无直接关联，不进入精选。",[19],{"name":10,"url":6},[21],"卫星图像加密",[],{"status":24,"locked":14,"version":25,"method":26,"evidence":27},"needs_review","2026-10-22.2","rules",{"candidates":28,"agricultural_evidence":14,"reason":38},[29],{"code":30,"score":31,"supported":32,"title":33,"abstract":34,"tags":37},"I3",6,true,[],[35,36],"遥感","remote sensing",[],"农业相关性需要复核",[],"AnApproachtoEncryptandDecryptSatelliteIm-1741","10.25195\u002Fijci.v52i2.760",{"doi":41,"openalex_id":43,"authors":44,"venue":10,"cited_by_count":15,"oa_url":49,"card":50,"direction":54,"ingested_from":56},"W7207620650",[45,47],{"name":46,"orcid":9},"Saja Jumaa Hammad",{"name":48,"orcid":9},"Ali Mahmood Khalaf","https:\u002F\u002Fijci.uoitc.edu.iq\u002Findex.php\u002Fijci\u002Farticle\u002Fdownload\u002F760\u002F330",{"tldr":51,"method":52,"finding":53,"direction":54,"opportunity":55},"提出一种结合动态S盒与RC4流密码的卫星图像加密解密方案，提高安全性。","动态S盒与RC4流密码结合，XOR与非线性替换，Python测试。","加密图像直方图均匀，熵接近8，相关系数近零，抗差分攻击强。","农业遥感与作物表型","可探索将加密技术应用于农业遥感数据的安全传输，结合轻量级算法适应资源受限的农业物联网设备。","openalex","2026-09-05T23:30:29.117647Z",{"total":15,"page":59,"page_size":59,"items":60},1,[]]