With the rapid development of the distributed network and communication, the Internet of Things (IoT) systems have been applied to all walks of life. Blockchain technology is one of the most popular research fields re...
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Recent advancements in large-scale language models, as exemplified by ChatGPT, have undergone rapid and substantial development. Their efficacy in natural language processing (NLP) and related domains has notably surp...
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With the acceleration of population growth and urbanization, enhancing agricultural productivity has become a global *** study investigates the impacts of fieldwork patterns and plot sizes on productivity using agricu...
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The transmission of image data over the internet is inevitable considering its effective use-cases in tele-healthcare, online-banking, remote-education, e-commerce, email exchanges, and many others. However secure com...
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ISBN:
(纸本)9798350370027;9798350370034
The transmission of image data over the internet is inevitable considering its effective use-cases in tele-healthcare, online-banking, remote-education, e-commerce, email exchanges, and many others. However secure communication of the image data is still evolving and not standardized yet, but it is desirable owing to various cyber attacks especially adversarial attack leading to the loss of critical information. One of the primary challenges on adopting secure communication is to balance computational and communication cost for encrypting the data but also attain high security. Applying encryption across all pixelated data is likely to increase the communication overhead and reduce the throughput which otherwise becomes bottleneck for some of real-time applications. The large size of ciphertext makes the system highly inefficient. This research proposes an approach based on one-pixel attack factored selective image encryption scheme (PA-SIE) to reduce the size of the ciphertext while ensuring the security of the image data. The proposed approach identifies the sensitive pixels in the image by using the differential evolution algorithm and encrypts them using a preferred encryption scheme, while leaving the remaining pixels unencrypted. To the best of our knowledge, this is the first study to propose this approach for balancing cost and security in image data transmission. This approach significantly reduces the cost of data transfer while ensuring the secure transmission of sensitive image data. The proposed PA-SIE approach offers maximum communication latency improvement and energy savings of 84.65%, when compared with full Elliptic Curve Cryptography (ECC) applied encrypted image transmission for web traffic over the HTTPS protocol. The proposed approach is a step towards ensuring secure and efficient transmission of image data over the internet from low resource and bandwidth constrained edge-computing systems.
Memetics, as a social media phenomenon, are a self-evident part of the rise and rise of social media through electrifying technologies. They are intricate to classify using traditional forms of technologies because th...
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ISBN:
(纸本)9798331542573
Memetics, as a social media phenomenon, are a self-evident part of the rise and rise of social media through electrifying technologies. They are intricate to classify using traditional forms of technologies because they are mainly based on both visual and textual information and more often than not they are also funny or sarcastic. The work puts forward a deep learning-based solution for meme categorization that can be classified into multiple categories. The include girl, tame, politics, hard. It emphasizes the want for an automated system that can vet memes before they become the cause of controversy or become humorous. This investigation offers the three-step procedure to locate racism and abusive memes. Before the text is labeled as racist or not, it will be extracted from the supplied image first. Once the language has been pinpointed as unacceptable, the third step is to distribute the information to the specific groups: racist and abusive are: unoffensive, nonrelevant. We present a deep learning-based method for classifying memes that can be categorized into different themes. After the graphical theft of personal information for the marketing of products through social media meme posting, society had to confront the issue of these instance being posted on the social media platform. Racist and abusive memes can cause emotional harm to people and even divide communities since they are mainly genocidal or ridiculing. The constraint of the language complexity and the variety of artistic references used in memes leave some of them generally feting and removing racist and vituperative memes. We introduce a deep literacy- attained asseveration to classify wicked memes using CNNs, Roberta, as well as BERT. When we had the inflamed dataset of and thenon-racist and vituperative memes, we machined the models. Our experimental study was carried out through the adoption of several metrics like learning accuracy, precision, recall, and F1-score. Racist and abusive memes ar
Fuzzy c-means (FCM) is the most fundamental fuzzy clustering algorithm for vectorial data, and several variants have been proposed, including the q-divergence based FCM, Yang-type FCM, and extended q-divergence-based ...
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Cloud computing is swiftly developing, delivering a diverse spectrum of computing utilities like databases, storage, and servers. It transfigures the way data storage is done and securely circulated among numerous use...
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The proposed study realizes a novel quantum machine learning (QML) architecture that allows heuristic function evaluation and can actually perform quantum circuits during massive data processing. The Quantum-Circuit f...
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The rapid advancement of quantum computing poses significant challenges to traditional cryptographic methods. Algorithms such as Shor's and Grover's have substantially weakened the security of symmetric and as...
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The rapid development of modern science and technology such as big data technology and informationtechnology is constantly driving changes and progress in the field of education, especially the application of artific...
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