Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Bot Detection"”.
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EXPLORATORY GRAPH BASED BOT DETECTION APPLICATION ON REDDIT SUBNETWORKS
Methods for detecting bots have traditionally focused on implementing machine learning systems to classify abnormal behavior. We focus on abnormal term usage as a markerof bot behavior around politically charged language regarding the Covid-19 pandemic on Reddit. We look at multiplex networks …
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Karma Chameleons: Data Collection Techniques and Account Characterization for Bot Detection on Reddit
Malicious bots on social media platforms present an ever-evolving threat to the integrity of online communication. As platforms like Twitter/X, Meta, and Reddit continue to grow in popularity, so do opportunities for malicious actors to create bot accounts. These bots, which are often designed to …
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Detecting Bots using Stream-based System with Data Synthesis
… in building security applications including bot detection. However, many machine learning models are difficult to deploy since model training requires the continuous supply of representative labeled data, which are expensive and time-consuming to obtain in practice. In this thesis, we build a …
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Machine Learning Based Detection and Evasion Techniques for Advanced Web Bots.
Web bots are programs that can be used to browse the web and perform different types of automated actions, both benign and malicious. Such web bots vary in sophistication based on their purpose, ranging from simple automated scripts to advanced web bots that have a browser fingerprint and exhibit a …
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IoT network Malicious Behaviour Profiling Based on Explainable AI Using LSTM and SHAP
… networks to new cyber threats, particularly from botnets. Detecting and identifying malicious data is critical for early threat detection, understanding botnet attack patterns, and deploying countermeasures. This research proposes an IoT Bot detection and identification profiling model using XAI. …
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Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction
… on analyzing networks using hypergraphs for detection, classification, and prediction methods in social media-related problems. In particular, we study four specific applications with four proposed novel methods: detecting topic-specific influential users and tweets via hypergraphs; detecting …
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Clustering Web Users by Mouse Movement to Detect Bots and Botnet Attacks
… and accurately detect the presence of web bots has shown to be a challenging problem. As the sophistication of modern web bots increases, specifically their ability to more closely mimic the behavior of humans, web bot detection schemes are more quickly becoming obsolete by failing to …
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Identifying and assessing coordinated influence campaigns on social networks
… opinions using artificial accounts, or bots. It is suspected that the 2016 U.S. presidential election was the victim of such social network interference, potentially by foreign actors. Foreign influence bots are also suspected of having attacked European elections. The bots main action …
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Robustifying Machine Learning based Security Applications
… retraining. The second application is bot detection. We show that the performance of existing machine learning models is not effective if we only have the limit attackers' data. We develop a data synthesis method to address this problem. The key novelty is that our method is …
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Detecting advanced botnets in enterprise networks
A botnet is a network composed of compromised computers that are controlled by a botmaster through command and control (C&C) channel. Botnets are more destructive compared to common virus and malware, because they control the resources from many compromised computers. Botnets provide a very …
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Understanding Persuasive Communication: The Role of Heuristic Thinking, Context, and Debiasing in the Evaluation of Online Political Information
… accessibility and data sharing, by increasing both the amount of information freely available for consultation and the speed at which it is possible to access and exchange it. Social Networking Platforms (SNPs) – such as Facebook, Twitter, and YouTube – are of particular interest in this sense, …
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Understanding the behaviour and influence of automated social agents
… presence of automated social agents, or social bots. Social bots are the new computing viral, that are surreptitious and clever. What facilitates the creation of social agents is the massive human user-base and business-supportive operating model of social networks. These automated agents are …