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15 articles for “SYN flooding”
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Impact of Ping Flood Attack and its Mitigation Technique: A Performance Evaluation
Abstract: Security has become the need of the hour as no organization is immune to data breach. A recent survey reports that 16% of attack on network is due to denial of service attack, which prevents legitimate users from accessing services or information. This paper focuses on ping flood attack, ping of death, SYN flooding and defense mechanism to defend the nodes being attacked in real time. Ping flood attack is …
Published in Journal Of Network security · Vol. 5, Issue 1, 2017 · pp. 11–21 Read article
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Status of Surfactant-Polymer Flooding
Abstract: Abstract Surfactant-polymer (SP) flooding emerged from the principle that good sweep efficiency and displacement efficiency result in good oil recovery. Its research and development was shifted to alkaline-surfactant-polymer (ASP) because higher oil recovery can be achieved from the latter. Apparently, some research-development focus is coming back to SP, because ASP has problems in practical applications, e.g., scaling and emulsion. This paper provides the status of surfactant-polymer flooding technology. It covers …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 1, 2016 · pp. 13–24 Read article
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Estimation of Peak Flood Discharge for the Ungauged Catchments in the Tributaries of River Sutlej using Synthetic Unit Hydrograph Approach
Abstract: Estimation of peak flood discharge (PFD) for a given return period is of utmost importance for planning and design of hydraulic structures, river protection works, and development of integrated water resources management projects which can be computed by applying various approaches viz., flood frequency analysis, rational formula, envelope curve and synthetic unit hydrograph (SUH). In this paper, SUH approach is adopted for estimation of PFD for the ungauged catchments viz. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 29–41 Read article
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Measurement to Management: Study of Remote Sensing Techniques for Flood Disaster Management
Abstract: Natural disasters are unavoidable. Of late, even the disasters induced by human activities are categorized as natural disasters. In the last few years, the damages due to these disasters have notched up a level higher because there is increase in population as well as rise in environmental degradation. Improper planning and mismanagement of resources has led humans to a high state of risk. Floods are the most complex and most …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 1, 2019 · pp. 40–57 Read article
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Feasibility of Temporal Monitoring of Flood Inundated Areas and Crop Damage Assessment using Multi- polarised Temporal SAR Data without any Ground Truth Campaign
Abstract: Floods are catastrophic events and lead to huge loss of lives and property. Quick assessment and mapping of area affected by the flood water and monitoring of flood event is very important for proper planning and timely rescue operations. Remote sensing technique plays a very important role to achieve these goals as remote sensing image (data) covers large area and the data can be analyzed quickly to provide timely assessment …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 35–44 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Synthesis and Characterization of Triethanolamine Derivative of Sodium Dodecy l Sulphate and its Use in Enhanced Oil Recovery
Abstract: The paper deals with the synthesis and characterization of a new surfactant and its use in Alkali-Surfactant- Polymer (ASP) flooding in enhanced oil recovery (EOR). The material has been synthesized from sodium dodecyl sulphate and triethanolamine. The synthesized surfactant has been characterized by measuring the surface tension of its aqueous solution and it has been found that the surface tension of derivative surfactant is much lower than that of pure …
Published in Journal of Petroleum Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 37–45 Read article
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Extraction and Characterization of an Eco-Friendly Surfactant for Its Use in Enhanced Oil Recovery
Abstract: Experimental studies have been performed to explore the suitability of an eco-friendly surfactant in enhanced oil recovery. In this respect, herbal surfactant has been isolated from soap nut and characterized by its morphology and physico-chemical properties. The extracted surfactant reduces the interfacial tension significantly over a wide range of concentrations. A series of flooding experiments have been carried out using the extracted surfactant and substantial incremental recoveries have been observed …
Published in Journal of Petroleum Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 20–29 Read article
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Utilizing Artificial Intelligence and Remote Sensing to Predict Flooding in Real-Time and Address Climate Resilience Policy in South Asia
Abstract: South Asia, a region characterized by hydro-climatic instability, faces an intensifying risk from devastating flooding, aggravated by human-induced climate change and intricate river basin interactions. Traditional flood prediction systems, based on limited in-situ data and resource-intensive physical models, have serious delays and resolution problems that make it harder to reduce disaster risk. The combined applications of Artificial Intelligence (AI) and high-resolution remote sensing (RS) constitute a paradigm shift in real-time …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 45–61 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Protein Metabolism in Plants during Abiotic Stress (Drought, Flood, Heat and Cold): An Overview
Abstract: Plants are frequently subjected to several abiotic environmental stresses under natural conditions causing profound impacts on agricultural yield and quality. Tolerance and acclimation of plants are always related with significant changes in protein, cellular localization, post transcription and post-translational modifications. Protein response pathways as well as pathways unique to a given stress condition shared by plants under different stressed environment are discussed. In a nutshell, this paper provide an overview …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 10, Issue 3, 2020 · pp. 21–45 Read article
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Climate Change and the Hydrologic Cycle: Emerging Patterns, Process Alterations, and Implications for Sustainable Water Resources Management
Abstract: Climate change is profoundly altering the global hydrologic cycle, affecting the movement, storage, and quality of water across atmospheric, terrestrial, and aquatic systems. Rising global temperatures, changing precipitation patterns, increasing atmospheric evaporative demand, and intensifying hydroclimatic extremes are reshaping key hydrological processes, including evapotranspiration, soil moisture dynamics, runoff generation, streamflow regimes, groundwater recharge, and water quality. This review synthesizes recent advances in understanding the impacts of climate change on the …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 34–54 Read article
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Review of Construction's Impacts on Marine Areas
Abstract: In order to manage flooding, generate electricity, facilitate shipping, support agriculture, and advance industry, dams have greatly benefited human society. The development of dams, however, seems to have a significant impact on neighbouring coastal areas and the natural ecosystems downstream. This review utilises contemporary studies to thoroughly examine how dam construction has impacted river hydrology, geomorphology, and ecology of lower stream reaches globally in order to synthesise these impacts. The …
Published in Journal of Water Pollution & Purification Research · Vol. 9, Issue 2, 2022 · pp. 19–22 Read article
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A Study on the Ichthyofaunal Status of an Oxbow Lake of Eastern Himalayan River of Assam, India
Abstract: The status of fish fauna of Kalpani beel in the Chirang district of Assam was studied from June to December, 2016. It is an ecologically important oxbow lake. The beel is fed by flood of Manas River originating from Bhutan and an important tributary of the river Brahmaputra. A total of 55 fish species belonging to 38 genera and 21 families (under 7 order) has been recorded during the study …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 1, 2018 · pp. 35–42 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article