Search
347 articles for “security algorithms”
-
Flying Faces: An Automated Recognition System using Raspberry Pi and Drone
Abstract: Facial recognition technology has gained populari- ty in recent years and is used in various applications, such as security and surveillance. However, traditional facial recogni- tion systems are limited in their ability to capture images from different angles and perspectives. In this paper, facial recogni- tion system is presented that utilizes drone technology to cap- ture images from multiple angles for better accuracy. The sys- tem consists of a Raspberry …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
-
An Algorithm for License Plate Detection using Wavelet Transform
Abstract: As the importance of public transportation system increases, an Automatic License Plate Recognition (ALPR) has turned out to be an important research issue. It is becoming difficult to keep track of each vehicle for purpose of law enforcement and traffic management. ALPR equipped in many intelligent surveillance systems like, road traffic management, security management, automatic toll collection system etc. The basic steps in ALPR were accurate localization of number plate, …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 6–13 Read article
-
Literature Survey of On-chip Architectures and Arbitration Algorithms
Abstract: Today micro-electronic products are influencing the ways of communication, learning and entertainment. The key driving force for the developments during decades is the System-on-Chip (SoC) technologies, where complex applications are integrated onto single ULSI chips. Not only functionally enriched, these products such as mobile phones, notebooks and personal handheld sets are becoming faster, smaller-in-size, larger-in-capacity, lighter-in-weight, lower-in-power-consumption and cheaper. In this survey, communication architectures of SoC are discussed whose design …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 17–23 Read article
-
Data Hiding Techniques Using Steganography Algorithms
Abstract: Steganography is the method of hiding information or data in a very peculiar manner using cover objects and various techniques. In the last two decades, the adaptability of the digital communication and information sharing arouses the need for data susceptibility and thus steganography comes into play. Derived from Greek word “steganos” meaning hidden, comes steganography or “concealed writing”. It focuses on creating a safe and secure communication link between the …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 1, 2020 · pp. 12–14 Read article
-
Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm
Abstract: AbstractAs cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 8–12 Read article
-
Information Privacy and Security in Data Mining
Abstract: AbstractThe improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 30–44 Read article
-
IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
-
A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
-
OCL Fault Injection-Based Detection & Prevention of LDAP Query Injection Vulnerabilities
Abstract: Security for web application is a prime concern today. Lightweight Directory Access Protocol (LDAP) is used in web applications for enforcing authentication. It may suffer from LDAP injection vulnerabilities and that leads to some security breaches such as login bypass and privilege escalation. This is because of poor implementation of LDAP applications. Here we propose a technique, OCL fault injection-based detection and prevention of LDAP injection vulnerabilities. Here the design …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 5–8 Read article
-
Enhancing Cybercrime Detection Through Big Data Analytics: A Conceptual Framework
Abstract: The growing complexity of cybercrime reduction and prevention difficulties necessitates a different approach to dealing with the massive amounts of data involved. The issues of reducing and preventing cybercrime are becoming more complex as cybercrime becomes ingrained in our daily lives. When it comes to showcasing the original division of criminal activities, traditional police operations typically fall short, which means they contribute less to the right deployment of police resources. …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 1–11 Read article
-
IoT-based Indoor Safety Monitoring System for COVID-19
Abstract: This paper presents an IoT-based solution that helps enterprises, institutions and organizations comply with COVID-19 safety standards and recommendations to reduce their spread. We focused on the most popular measures for people as body temperature, wearing a mask and a social distance of at least 1.5-2 m. This project is an IoT based interior security surveillance system with following aspects: 1) Non-contact temperature measurement with a IR thermal sensor 2) …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 3, 2021 · pp. 17–21 Read article
-
Data Compression for Backbone Network
Abstract: This article involves the application of data compression techniques to improve the efficiency and performance of the core infrastructure of modern digital networks. This approach focuses on reducing the size of transmitted data without compromising its quality, aiming to enhance network throughput, reduce latency, and minimize energy consumption. The study also considers practical implementation challenges and trade-offs to optimize resource utilization in backbone networks. We delve into various compression methods, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 30–40 Read article
-
Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
-
Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
-
Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
-
A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
-
Multi Face Detection and Gender Classification Based Attendance System
Abstract: Time management is critical in today's hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article
-
Utilizing Image Processing Methods for Infrared (IR) Intensity Measurement across Spatial and Temporal Domains
Abstract: The research outlined in this investigation centres on employing image processing techniques to measure infrared (IR) intensity in spatial and temporal domains. The primary objective is to ascertain intensity levels at various spatial points over time, utilizing thermal imaging technology. To record the burning flare and produce radiometric data, the experimental setup makes use of a thermal camera. Additionally, a spectroradiometer is utilized to gauge intensity. To provide a particular …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 1–1O Read article
-
Study and Research Survey of Machine Learning on Different Field for Next Research Directions
Abstract: Machine learning (ML) is a part of artificial intelligence (AI). ML is a brain of AI, which works to same to same as human creature. ML used to several learning algorithms is a part of related learning techniques as supervised, unsupervised, reinforcement, deep and deep-reinforcement learning techniques. ML used on various research fields as, cyber security, big data, IOT, big code naturalness, flood prediction, ultra sound computer-aided diagnostic system, medicine …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 46–55 Read article
-
An Innovative Methodology to Detect and Prevent Black Hole Attacks in Wireless Sensor Networks
Abstract: Due to the particular characteristics, wireless sensor network (WSN) is severely unsafe and are receptive malicious attacks. One amongst the foremost malicious threats to WSN is within the sort of part attack that focuses on the routing protocols. This genre of attacks will have an awfully serious impact on ranked routing protocols. A range of security solutions is place forth to safeguard WSNs from part attacks. However, a majority of …
Published in Journal Of Network security · Vol. 4, Issue 3, 2016 · pp. 23–27 Read article