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 20 of 38 for “"botnet"”.
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Correlation-based Botnet Detection in Enterprise Networks
… are carried out by malware. In particular, botnets, as state-of-the-art malware, are now considered as the largest threat to Internet security. In this thesis, we focus on addressing the botnet detection problem in an enterprise-like network environment. We present a comprehensive …
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Robust Botnet Detection Techniques for Mobile and Network Environments
… methods and at different scales. The use of botnets is one of the most common successful cybercrime methods. A botnet is a group of devices that are used together to carry out malicious attacks (they are connected via a network). With the widespread usage of handheld devices such as …
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Fast flux botnet detection based on adaptive dynamic evolving spiking neural network
A botnet, a set of compromised machines controlled distantly by an attacker, is the basis of numerous security threats around the world. Command and Control (C&C) servers are the backbone of botnet communications, where the bots and botmaster send reports and attack orders to each other, …
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Clustering Web Users by Mouse Movement to Detect Bots and Botnet Attacks
<p>The need for website administrators to efficiently 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 …
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Benchmark-Based Reference Model for Evaluating Botnet Detection Tools Driven by Traffic-Flow Analytics
Botnets are some of the most recurrent cyber-threats, which take advantage of the wide heterogeneity of endpoint devices at the Edge of the emerging communication environments for enabling the malicious enforcement of fraud and other adversarial tactics, including malware, data leaks or denial of …
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A self-healing framework to combat cyber attacks. Analysis and development of a self-healing mitigation framework against controlled malware attacks for enterprise networks.
… activities in the world. Controlled malware (Botnet) is one of the most prominent tools used by cybercriminals to infect, compromise computer networks and steal important information. Infecting a computer is relatively easy nowadays with malware that propagates through social networking in …
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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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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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Categorizing Blog Spam
… of spam, spam campaigns, and the behavior of the botnets that drive the majority of spam traffic.</p> <p>This thesis focuses on characterizing spam, particularly the spam that appears in forums, where the spam is delivered by bots posing as legitimate users. Forum spam is used primarily to push …
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A botnetek lehetséges felhasználása a malwarek detektálásában
… mi esetünkben ez az eszköz egy malware detektáló botnet. Mely a beleépített yara scanner segítségével képes arra hogy felismerje a rendszerünkben található lehetséges fenyegetéseket. Illetve továbbítsa , megjelenítse azt egy webes felületen.
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Security Enhanced Communications in Cognitive Networks
… we focus on protecting the core network from botnet threats by applying cognitive technologies to detect network-wide Peer-to-Peer (P2P) botnets, which leads to the design of a data-driven botnet detection system, called emph{PeerClean}. In all the four research thrusts, we present thorough …
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EXPLORATORY GRAPH BASED BOT DETECTION APPLICATION ON REDDIT SUBNETWORKS
… this graph-based technique to potentially detect botnet structures on social media.
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An effective network flow prioritization approach in DDoS scenarios
… An attacker may send a flood of requests with a botnet to the victim system, so that the system will waste all resources processing the huge number of unnecessary requests generated by an attacker and will not be available to any normal user. To mitigate DDoS attacks, it is crucial for a defense …
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Evaluating the Proliferation and Pervasiveness of Leaking Sensitive Data in the Secure Shell Protocol and in Internet Protocol Camera Frameworks
… devices and the threat posed by the pervasive botnets that have been forming over the last several years. We look at two specific cases in this work. One being the practical application of a botnet system actively executing a Man in the Middle Attack against SSH, and the other leveraging the …
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