Essays about: "attack prediction"
Showing result 1 - 5 of 12 essays containing the words attack prediction.
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1. Analysis of Flow Prolongation Using Graph Neural Network in FIFO Multiplexing System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Network Calculus views a network system as a queuing framework and provides a series of mathematical functions for finding an upper bound of an end-to-end delay. It is crucial for the design of networks and applications with a hard delay guarantee, such as the emerging Time Sensitive Network. READ MORE
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2. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency
University essay from Lunds universitet/Matematisk statistikAbstract : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. READ MORE
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3. The Effect of Zero Trust Model on Organizations
University essay from Lunds universitet/Institutionen för informatikAbstract : The increase in cyber threats has prompted organizations to adopt more robust cybersecurity frameworks, such as the Zero Trust model. This study investigates the effects of implementing the Zero Trust model on organizations. READ MORE
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4. A method of detecting and predicting attack vectors based on genetic programming
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : This Master's thesis presents a novel approach for detecting and predicting attack vectors based on genetic programming. The proposed method utilizes a genetic algorithm to evolve a set of rules that predict attack vectors over the system based on caught indicators of compromise. READ MORE
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5. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE