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Research ArticleOpen accessPhrase in the titleImproving the Attack Detection Rate in Network Intrusion Detection using Adaboost AlgorithmP. Natesan, P. Balasubramanie, G. GowrisonProblem statement: Nowadays, the Internet plays an important role in communication between people. To ensure a secure communication between two parties, we need a security system to detect the attacks very effectively. Network intrusion detection serves as a major system to work with other security system to protect the computer networks. Approach: In this article, an Adaboost algorithm for network … …Journal of Computer Science, Vol. 8, Issue 7 · 16 May 2012 · 7,461 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDETECTION OF FLOOD ATTACKS IN DTN USING RATE LIMITER TECHNIQUEC. Balamurugan, M. Viswanathan, T. Abhishek Kumar, G. S. RajFlood attacks means a network becomes so weighed down with packets, caused by the attackers. It prevents packets being sent/received between the nodes in the network. There are many methods adopted to prevent flood attacks in other networks, but none has been installed successfully for DTN’s. Disruption tolerant network is a network, developed in such a manner that intermittent communication … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 6,980 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWeed Detection over Between-Row of Sugarcane Fields Using Machine Vision with Shadow Robustness Technique for Variable Rate Herbicide ApplicatorA. Muangkasem, S. Thainimit, R. Keinprasit, T. IsshikiProblem statement: Uniformly herbicide rate is used as a conventional practice in Thailand for controlling weeds in sugarcane fields. Since weeds usually grow in certain areas with non-uniformly distribution, uniform herbicide rate approach is not suitable and non-sustainable agricultural technique both in terms of economic an environmental aspect. To address these issues, Variable Herbicide Rate (VHR) was introduced. The VHR … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 8,232 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFUSION OF COLOR AND MODIFIED WEBER’S LAW DESCRIPTOR BASED HUMAN SKIN DETECTIONC. Prema, D. ManimegalaiSkin detection in images or videos plays a vital role in a wide range of image processing applications like face detection, face tracking, gesture analysis, human-computer interaction etc. Due to its high processing speed and invariant against rotation, it has received significant interest in pattern recognition and computer vision. The robustness of skin detection using color information depends on real … …Journal of Computer Science, Vol. 10, Issue 9 · 19 Apr 2014 · 6,397 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Diffusion Coefficient using Reversed-Flow Gas Chromatography-A ReviewKhalisanni Khalid, Rashid Atta Khan, Sharifuddin Mohd. ZainProblem statement: Since the earliest publication on the technique, Reversed-Flow Gas Chromatography (RF-GC) has been used to determine physicochemical properties by measuring the value of one in the presence of another. The method is precise, accurate and simple compared to other conventional techniques. Approach: The experimental setup consists of a small modification of a commercial gas chromatograph, so that it … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 17 May 2011 · 7,223 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalytical Study of Signal-to-Noise Ratio for Visible Light Communication by Using Single SourceMohammad Syuhaimi Ab-Rahman, Nurain Izzati Shuhaimi, Luqman Al-Hakim Azizan, Mazen Radhe HassanProblem statement: In this study, optical wireless communication system using visible light is studied for indoor application. Approach: The process started with the calculation on performance of single source white LED where received power, channel DC gain and quality of data transmission (SNR computation) are identified. Through the simulation results, the SNR performance is directly proportional to angle of incident … …Journal of Computer Science, Vol. 8, Issue 1 · 2 Nov 2011 · 7,479 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntrusion-Resistant Multi-Hop Communication Protocol for Secure Wireless Sensor NetworksRakesh Ranjan, Vaishali Singh, Hitendra SinghModern Internet of Things (IoT) systems are based on Wireless Sensor Networks (WSNs), which can be distributed to various environments to perform a range of sensing and data aggregation. Their intrinsic deficiencies in computation, energy, and bandwidth, however, make them very vulnerable to routing-layer attacks like black hole and selective forwarding as well as Sybil intrusion. The current studies on … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Exogenous Heavy Metal Pesticide Residues in Traditional Chinese Medicine Based on Fluorescent Carbon Quantum DotsYanan He, Shuyin WangThe analysis method based on fluorescent probes has received increasing attention due to its high sensitivity, fast response, and real-time visualization characteristics. Therefore, the application of fluorescent probes for rapid detection of heavy metal pesticide residues in traditional Chinese medicine is of great significance. This study innovatively synthesized B/N co-doped carbon quantum dots using 3-aminophenylboronic acid as the raw material, … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 10 Apr 2026 · 1,610 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite