The Domain Name System's (DNS) primary function is to translate hostnames into numerical Internet Protocol (IP) addresses. The DNS is a growing, and more vulnerable target for emerging attacks since traffic via it...
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The Domain Name System's (DNS) primary function is to translate hostnames into numerical Internet Protocol (IP) addresses. The DNS is a growing, and more vulnerable target for emerging attacks since traffic via it is frequently not monitored. Even on high-speed networks, software-based mitigation strategies and specialized, advanced firewalls may become bottlenecks and are vulnerable to saturation assaults. Many techniques for reducing network security threats may be quickly and easily implemented using the P4-programmable data plane without slowing down or interfering with regular traffic Using the stateful processing capabilities of programmable switches, in the course of this research, we develop a system that is able to monitor DNS traffic in the data plane and then apply the security rules that have been established by the administrator to certain domains. Deep Packet Inspection (DPI) is used in particular to apply filtering criteria (such as preventing harmful environments) and retrieve the domain name from a collection of labels. The evaluation findings reveal that the suggested method outperforms the state-of-the-art P4-based methods in terms of the number of domain labels it can parse. Further, throughput, latency, and packet loss achieve considerable performance gains compared to a conventional software firewall-pfsense-. However, due to the low resource consumption of the implemented P4 software, it may include additional security features.
The current research conducts a comprehensive analysis of citation networks focusing on publications by authors affiliated with Egyptian institutions. Leveraging the Semantic Scholar platform and its API, a citation n...
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Cloud services have become an essential infrastructure for enterprises and individuals. Access to these cloud services is typically governed by Identity and Access Management systems, where user authentication often r...
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Software accuracy and dependability become very important issues now-a-days. It is more difficult to identify software program errors due to the growing size and complexity of programs. Traditional fault localization ...
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An extensive knowledge of cognitive development from early infancy to late adolescence is required to investigate brain neural pathways. The success in recognizing diverse stimuli is one of the remarkable frameworks t...
An extensive knowledge of cognitive development from early infancy to late adolescence is required to investigate brain neural pathways. The success in recognizing diverse stimuli is one of the remarkable frameworks that used to examine the essential variations in cognitive processes. Recognizing the intended stimuli has been proven to be influenced by several factors such as participants ‘gender and handedness. In this study, we investigated whether these cognitive variations regarding handedness take place at age nine-year. 33-EEG channels were recorded while seven right-handed and seven left-handed participants completed the Eriksen Flanker task-experimental paradigm with a variety of stimuli for evaluating attention and cognition. In each handedness group, the imaginary coherence was computed to evaluate the functional connectivity of each child. It was observed that left and right-handers activate distinct cortical regions, particularly in the alpha and beta bands. Additionally, the findings showed that brain connectivity at the incongruent Flanker stimuli can be utilized to differentiate the two targeted group.
Traffic jams on the motorways due to accidents or other emergencies have proven difficult to resolve. The time it takes for the cars to line up and move out of the jam on their own accord is usually rather long. This ...
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Traffic jams on the motorways due to accidents or other emergencies have proven difficult to resolve. The time it takes for the cars to line up and move out of the jam on their own accord is usually rather long. This article presents a system named ETMRTCM, which effectively centralized traffic coordination as a solution for overcoming transitory bottlenecks on multi-lane motorways. At initially, warning alerts regarding the traffic congestion happened depending on Vehicle to Vehicle communications. Then, automobiles start negotiating with their neighbors to figure out the best structure (platoon leader, distance gap, speed, and the number of vehicles) for formulating platoons. As a result, cars can move through the congestion more efficiently. After that, the platoon leaders give orders to the troops to switch lanes if there is an open space in the road adjacent to the one in which they are. The trial findings show that our method may shorten the wait time for the last few cars passing through the congested region by up to 22%. The suggested process also efficiently shortens wait times for vehicles entering the crowded zone while keeping things even for those leaving it.
This paper presents a novel design of wideband 3D transmitting pattern manipulation structure (3D-TPMS) elements based on stepped-impedance slotline resonators (SISRs). The 3DTPMS element can be divided into three par...
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ISBN:
(数字)9798331520717
ISBN:
(纸本)9798331520724
This paper presents a novel design of wideband 3D transmitting pattern manipulation structure (3D-TPMS) elements based on stepped-impedance slotline resonators (SISRs). The 3DTPMS element can be divided into three parts, the receiving part, the phase-delay part, and the transmitting part. Taking advantage of the SOL calibration method, the discontinuities at the interface of the spatial wave and guided wave with incident angle (steering angle) is studied. The calculated results show that the incident angle (steering angle) mainly influences the turns ratio of the transformer and the value of serries inductor. To overcome the influence of the incident angle (scan angle), the discontinuities are considered in the element design by the equivalent circuit model (ECM). In this way, best transmission coefficient can be obtained. To enhance the bandwidth, the receiving part and the transmitting part are designed with Chebyshev response. The bandwidth of the 3D-TPMS element is over $\mathbf{8 0 \%}$. The simulated results indicate that the proposed 3D-TPMS is a promising candidate for 6 G network.
This paper presents an advanced system that integrates Google's Speech Recognition API with the Gemini-l.5-flash model to improve audio processing and response generation, particularly in the context of healthcare...
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This study scrutinizes five years of Sarajevo’s Air Quality Index (AQI) data using diverse machine learning models — Fourier autoregressive integrated moving average (Fourier ARIMA), Prophet, and Long short-term mem...
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ISBN:
(数字)9798350382501
ISBN:
(纸本)9798350382518
This study scrutinizes five years of Sarajevo’s Air Quality Index (AQI) data using diverse machine learning models — Fourier autoregressive integrated moving average (Fourier ARIMA), Prophet, and Long short-term memory (LSTM)—to forecast AQI levels. Focusing on various prediction frames, we evaluate model performances and identify optimal strategies for different temporal granularities. Our research unveils subtle insights into each model’s efficacy, shedding light on their strengths and limitations in predicting AQI across varied timeframes. This research presents a robust framework for automatic optimization of AQI predictions, emphasizing the influence of temporal granularity on prediction accuracy, automatically selecting the most efficient models and parameters. These insights hold significant implications for data-driven decision-making in urban air quality control, paving the way for proactive and targeted interventions to improve air quality in Sarajevo and similar urban environments.
Artificial Intelligence made possible novel opportunities used for assessment creation in businesses, industries, communities, as well as society. Researches have shown that technology is essential within several aspe...
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