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 23 for “"Botnets"”.
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Detecting advanced botnets in enterprise networks
… 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 important platform for attacks, such as Distributed Denial-of-Service (DDoS), spamming, …
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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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On modeling and mitigating new breed of dos attacks
… consists of TCP traffic only. Widely used botnets in today's various attacks and newly introduced network feedback control are integral part of the quiet attack model. The quiet attack shows that short-lived TCP flows used as attack flows can be intentionally misused. This dissertation …
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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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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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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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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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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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A comparative analysis of denial of service vulnerabilities in network protocols
… devices has enabled attackers to build massive botnets which have delivered on this threat with floods of unprecedented scale. Most mitigation tactics focus on re-routing this trac or preventing devices from becoming compromised. While valiant, these efforts address only the symptoms of a deeper …
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Deceptive Environments for Cybersecurity Defense on Low-power Devices
The ever-evolving nature of botnets have made constant malware collection an absolute necessity for security researchers in order to analyze and investigate the latest, nefarious means by which bots exploit their targets and operate in concert with each other and their bot master. In that effort of …
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Security techniques for sensor systems and the Internet of Things
… scale of IoT makes the devices good targets for botnets, we design Heimdall, a whitelist-based anomaly detection technique for detecting and protecting against IoT-based denial of service attacks.</p> <p>Once our monitoring tools detect an attack, determining its actual cause is crucial to an …
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A FEDERATED DEEP AUTOENCODER FOR DETECTING IOT CYBER ATTACKS
… Potential threats to IoT devices, such as botnets and malware-based attacks, have always been difficult for traditional detection systems. However, deep learning-based solutions have been utilized in recent years, and many challenges have yet to be addressed. In this thesis, we propose a …
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Enhancing ISP-consumer security notifications
… more prevalent on home networks. For example, botnets of Internet of Things devices engage in denial of service (DoS) attacks and ransomware holds data on personal and commercial systems hostage. Many of these threats are relatively opaque for an end user. An end user may not know that their …
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Fast flux botnet detection based on adaptive dynamic evolving spiking neural network
… and attack orders to each other, respectively. Botnets are also categorised according to their C&C protocols. A Domain Name System (DNS) method known as Fast-Flux Service Network (FFSN) is a special type of botnet that has been engaged by bot herders to cover malicious botnet activities, and …
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Security Enhanced Communications in Cognitive Networks
… 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 security analysis, extensive simulations and testbed evaluations based on real-world …
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Twitter: An opportunity or a curse for South African female journalists?
… technology and the proliferation of bots and botnets (Barojan, 2018), it is becoming even more ubiquitous. The cruelty and frequency of the attacks prompted UN Secretary-General António Guterres to declare in March 2021: “There should be no room for misogyny and violence in journalism. Social …
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