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International Journal of System of Systems Engineering最新文献

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Multimedia data-concealing method on characteristic pictures using convolutional neural network 基于卷积神经网络的多媒体特征图像数据隐藏方法
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.134432
R. Regin, S. Suman Rajest, Karthikeyan Chinnusamy, Bhopendra Singh, T. Shynu, R. Steffi
Images are now classified using picture steganography. A compelling image's attributes can change when it is sent across an unreliable open system. Information disguise incorporates the important message into everyday mediums, including images, audio, video, and text. Primary media relay the main message. The media approach should not undermine the main message. We retrieve the sent key message. Use perplexing surfaces to confirm message obscurity. Safe hashing verifies ROI's cryptographic hash output (SHA). The discrete wavelet transform will add hash esteem (H) to RONI. Automated guidelines pick complex surface placements. The hash value increment demonstrates the validity of the image. The hash capacity would not match if altered. A changed natural image is pumped into a conventional-looking image using spatial bidirectional steganography. Convolutional neural network (CNN) technology was used for the secret message concealment during this transmission. Complex texture areas aid object detection rules. Steganography recovered the block's message. The algorithm improves accuracy in experiments. The exploratory study found the technique promotes vigour, lust, and security.
现在使用图像隐写术对图像进行分类。当通过不可靠的开放系统发送引人注目的图像时,其属性可能会发生变化。信息伪装将重要信息整合到日常媒介中,包括图像、音频、视频和文本。主要媒体传递主要信息。媒体手段不应破坏主要信息。我们检索发送的密钥消息。使用令人费解的表面来确认消息的晦涩性。安全哈希验证ROI的加密哈希输出(SHA)。离散小波变换将哈希值(H)添加到RONI。自动指南选择复杂的表面位置。哈希值的增量证明了图像的有效性。如果更改,散列容量将不匹配。使用空间双向隐写术,将改变后的自然图像注入到常规图像中。在此传输过程中,使用卷积神经网络(CNN)技术对秘密信息进行隐藏。复杂的纹理区域有助于目标检测规则。隐写术恢复了数据块的信息。该算法在实验中提高了精度。探索性研究发现,这种技术能促进活力、欲望和安全感。
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引用次数: 0
An efficient ciphertext-policy attribute-based encryption with attribute and user revocation scheme in cloud environment 基于属性和用户撤销方案的云环境下有效的密文策略属性加密
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.134428
P. Prathap Nayudu, Krovi Raja Sekhar
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引用次数: 0
DCF-MLSTM- A Deep security Content-Based Filtering Scheme Using Multiplicative BiLSTM for Movie Recommendation System 基于乘法BiLSTM的电影推荐系统深度安全内容过滤方案DCF-MLSTM
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10053520
R. Rajkumar, A. N
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引用次数: 0
AIOps Research Innovations, Performance Impact and Challenges Faced AIOps研究创新、性能影响和面临的挑战
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10054431
Vivek Basavegowda Ramu, Ajay Reddy Yeruva
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引用次数: 1
Deep Learning Technologies for Assessment of Air Pollution Levels Systems in Smart Cities 智能城市空气污染水平系统评估的深度学习技术
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10054974
A. Jayanthiladevi, S. Priscila
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引用次数: 0
Parallelization of Machine Learning Models for Credit Card Fraud Detection 信用卡欺诈检测的并行化机器学习模型
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10055597
Polinpapilinho F. Katina, Kishore Sanapala, V. M., Sumaiya Thaseen, S. Banu
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引用次数: 0
Ten years of research mined for security and privacy concerns of health information system adoption and acceptance: coherent taxonomy, motivations and open challenges 10年的研究挖掘卫生信息系统采用和接受的安全和隐私问题:连贯的分类、动机和公开的挑战
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.131224
O. Enaizan, A. Saleh, Bilal Eneizan, M. Almaaitah
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引用次数: 0
An efficient human action recognition framework based on hybrid features and enhanced long short term memory 基于混合特征和增强长短期记忆的高效人体动作识别框架
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10054704
Viswanadha Raju S, S. B
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引用次数: 0
Random Forest and Genetic Algorithm united with hyperparameter for Diabetes Prediction by using WBSMOTE, Wrapper Approach 随机森林、遗传算法与超参数相结合,采用WBSMOTE、Wrapper方法进行糖尿病预测
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10053108
K. Dharmarajan, U. A
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引用次数: 0
Multimedia Data-Concealing Method on Characteristic Pictures using Convolutional Neural Network 基于卷积神经网络的特征图像多媒体数据隐藏方法
Q4 Computer Science Pub Date : 2023-01-01 DOI: 10.1504/ijsse.2023.10054921
Shynu T, Bhopendra Singh, K. Chinnusamy, Suman Rajest George, R. Regin, S. R
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引用次数: 0
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International Journal of System of Systems Engineering
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