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347 articles for “security algorithms”
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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Comparison of Performance of Haar Wavelet Transform on 3D-2D Multi-Sensor Face Images Using Simulation Model
Abstract: Human face has its own unique characteristics that are always considered to be the valid biometric feature for automation of security systems. A dedicated system doesn’t only require accurate algorithm but also it is required to be executed with a minimum span of time. In this literature, authors have stated and demonstrated a wavelet based feature space design mechanism from human faces and also analyzed the performance of execution for …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 11–27 Read article
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Face Recognition Using Neural Networking Algorithms
Abstract: Face recognition system has become quite popular nowadays. It has gained a good attention in recent few years. Face recognition is practically everywhere, in security system for criminal activities, places like airports and international borders, it is needed for identification of people. In the paper, we discussed about three Neural Networking Algorithms used for FR such as Gabor Filter, Principle Component Analysis with Back Propagation Neural Network and Wavelet Transform …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 23–27 Read article
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Ethical Consideration in the Use of Artificial Intelligence in Medicine and Healthcare
Abstract: Artificial Intelligence (AI) in medicine and healthcare offers tremendous potential for improving patient care, increasing the precision of diagnoses, and increasing operational efficiency. To ensure responsible application, however, the swift uptake of AI technologies also brings up important ethical concerns that need to be addressed. This article explores various ethical challenges in healthcare AI, including concerns about algorithmic bias, data privacy, informed consent, and accountability. Patients must be aware of …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 23–28 Read article
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MODIFIED KEY GENERATION OF BLOWFISH ALGORITHM FOR TEXTUAL AND IMAGE DATA
Abstract: IoT is a word to today’s technical advancement to the digital world. Thus, not only the data which is marked as crucial, but security of this data is equitably important. This paper attempts to introduce one such way of safeguarding the data with encryption algorithm- Blowfish algorithm. The modification is made to the algorithm base lining the original algorithm and then the results are analyzed to validate the enhancement made. …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 27–30 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Analytical Study on DNA-based Modern Cryptographic Techniques
Abstract: Today, as the amount of information being stored and shared continues to grow rapidly, ensuring the security of that information has become more important than ever.To ensure information security, a variety of techniques are employed, including traditional cryptographic methods such as substitution and transposition techniques, hashing functions, and encryption algorithms like DES, RSA, AES, IDEA, and ECC. DNA cryptography is also new emerging technique for providing security to data and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Analysis and Development of Data Hiding Technique for Multimedia Content
Abstract: In this techno savvy world, due to high speed of the Internet today’s communication becomes digital. Due to this advancement, anyone can access the digital data within the entire globe without the owner’s permission. The digital data can be replaced and modified with great ease which has led to a need for effective data hiding tools. As a solution one of the most familiar data hiding techniques, possibly the most …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 3, 2018 · pp. 15–19 Read article
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Enhancing LAN Security Using Machine Learning
Abstract: The modern Local Area Network (LAN) is a critical component of any organization's infrastructure, facilitating communication, resource sharing, and access to the wider internet. However, this connectivity also brings inherent security risks. Traditional security measures, relying on signature-based detection and rule-based systems, are increasingly struggling to keep pace with the evolving sophistication of cyberattacks. This is where Machine Learning (ML) offers a powerful alternative, enabling proactive threat detection and enhanced …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 07–16 Read article
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Significant role of artificial intelligence in agriculture
Abstract: Using AI in agriculture has long been seen as one of the best ways to alleviate the shortage of food and adjust to the demands of an expanding population. An overview of AI's use in agronomic fields and its advancements in lab research are given in this paper. The review initially identifies two areas—soil management and weed management—where AI may be particularly useful. , and after that, the Internet of …
Published in Research & Reviews : Journal of Botany · Vol. 12, Issue 2, 2023 · pp. 1–6 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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A Comprehensive Review of AI-Driven Strategies for Tailored Wellness and Dietary Recommendations
Abstract: In today’s fast-paced world, health and fitness have become top priorities for many individuals. As a result, people increasingly turn to mobile apps and digital tools to track their wellness goals, follow diet plans, and stay fit. However, most of these apps provide the same set of recommendations for all users, ignoring the fact that everyone has different needs. This one-size-fits-all approach often fails to keep users engaged and motivated, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 16–20 Read article
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Offloading Computation to the Cloud
Abstract: Mobile devices are increasingly relied upon for complex and resource-intensive applications such as real-time video processing, augmented reality, and machine learning. However, their limited computational power, storage capacity, and battery life pose significant challenges. Computation offloading to the cloud has emerged as a promising solution to overcome these limitations by transferring demanding tasks from mobile devices to remote cloud servers. This approach enables improved performance, reduced energy consumption, and enhanced …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 27–37 Read article
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Convolution Neural Network Model for Intrusion Detection in Network
Abstract: The evolution of the internet has made protecting information a necessity. Network intrusion and prevention plays an integral role in network-based security. The Intrusion technologies primarily used in today’s world deploy various machine learning algorithms and train models based on them resulting in effectively low detection rates. A technical advancement from machine learning, Deep Learning employs complex mechanisms to extract features from samples. As observed that conventional intrusion detection systems …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 1, 2021 · pp. 7–13 Read article
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Skin Tone Detection Applies to User Secure Authentication Using Advanced Encryption Standard and Steganography
Abstract: Filtering of image content, compressing the content aware image and video applications of color balancing can advantage from automatic skin detection in the images. Biometric characteristics are used for usage of skin tone images region steganography. Here, significant information is implanted within the skin image region which will provide an outstanding data hiding secure location. For this, detection of skin tone is required to be performed. Various information hiding steps …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 21–32 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Securing CFA Images through the Simultaneous Hybrid Encryption-Watermarking Method Using Quaternions
Abstract: In order to protect digital data against unauthorized copying, falsification and redistribution over the internet, we proposed a new hybrid method of simultaneous encryption-watermarking of CFA (Color Filter Array) images. The CFA images are important for image analysis because these raw images have not undergone any process (interpolation, demosaicking, etc.) that might alter their reliability. This article presents a study of a new technique for the secure transfer of CFA …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 17–28 Read article
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Key Generation Algorithms Using Difference Equations with Multi-Precision Arithmetic: A Review
Abstract: Modern cryptographic systems rely on robust key generation to secure data and communication. This review explores the integration of difference equations and multi-precision arithmetic for cryptographic key generation, addressing limitations in traditional methods like pseudorandom number generators and chaotic systems. Difference equations produce deterministic yet chaotic sequences ideal for cryptography due to their sensitivity to initial conditions and nonlinearity. However, finite precision arithmetic can lead to periodicity and loss of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 23–36 Read article
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The Contribution of Mathematics to Make Developed India
Abstract: This research paper explores the significant contributions of mathematics to the development of India, tracing its influence from ancient innovations to modern applications across diverse sectors. India has a long-standing mathematical tradition, with foundational achievements such as the invention of zero, the decimal system, and advancements in algebra, trigonometry, and geometry, which profoundly shaped global knowledge systems. These early contributions established India as a pioneering hub of mathematical thought and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 08–15 Read article
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Genetic Algorithm Based Tree Formation in Wireless Sensor Networks
Abstract: A typical task in wireless sensor networks is to collect data through nodes of sensor network towards sink. wireless sensor network has various data gathering techniques based on tree, data gathering based on chain and data gathering based on hierarchy etc. This paper shows a tree formation technique used in the data gathering. The data is collected from different sensors forward and towards the sink node for this purpose. The …
Published in Journal Of Network security · Vol. 3, Issue 3, 2015 · pp. 22–32 Read article