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 45 for “"DDoS attacks"”.
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FlowPolice: enforcing congestion accountability to defend against DDoS attacks
The student, Zhuotao Liu, submitted this Thesis for approval on 2015-03-10 at 15:01.
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Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks
To view the abstract, please see the full text of the document.
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Adaptive systems for DDoS attacks detection and mitigation in IoT networks
… networks to cybersecurity threats, particularly DDoS attacks, which compromise network stability. Traditional detection methods struggle to address the constraints of resource-limited environments, scalability, and the need for lightweight, optimized, and reliable systems. This thesis addresses …
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Proof-of-Work Based Mitigation of Real Time Video DDoS Attacks
… and complexity, Distributed Denial of Service (DDoS) attacks grow in size and complexity alongside it. One particularly common form of DDoS attack is the TCP SYN flood, which exploits the TCP handshake process to exhaust server resources. This thesis investigates the use of a novel proof-of-work …
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Monitoring unknown source IP addresses and packet sizes to detect DDoS attacks
… to detect Distributed Denial of Service (DDoS) attacks. DDoS attacks are known as one of the most expensive and destructive Internet threats. Assuming network tra c is a marked Poisson process, two parametric detection models are developed. The arrival of packet ows is modeled as Poisson …
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An autonomous router-based solution to detect and defend low rate DDoS attacks
… This thesis focuses on countering flood-type attacks that result in denial of service to end users. A new classification of this denial of service attacks, known as the low rate denial of service, will be the crux of our discussion. The average rate of this attack is so low that most routers …
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Detection of DoS and DDoS attacks on 5G network slices using deep learning approach
… 5G network slicing is susceptible to cyberattacks, particularly Denial-of-Service (DoS) or Distributed Denial-of-Service (DDoS) attacks, just like any other network. Such attacks can have a significant negative effect on network performance, degrading services and reducing the availability …
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Design and Analysis of Anomaly Detection and Mitigation Schemes for Distributed Denial of Service Attacks in Software Defined Network. An Investigation into the Security Vulnerabilities of Software Defined Network and the Design of Efficient Detection and Mitigation Techniques for DDoS Attack using Machine Learning Techniques
… of SDN is Distributed Denial of Service (DDoS) attacks. Even though DDoS attack strategy is known, the number of successful DDoS attacks launched has seen an increment at an alarming rate over the last decade. Existing detection mechanisms depend on signatures of known attacks which has …
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Packet filter performance monitor (anti-DDOS algorithm for hybrid topologies)
<p>DDoS attacks are increasingly becoming a major problem. According to Arbor Networks, the largest DDoS attack reported by a respondent in 2015 was 500 Gbps. Hacker News stated that the largest DDoS attack as of March 2016 was over 600 Gbps, and the attack targeted the entire BBC website.</p> …
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On mitigating distributed denial of service attacks
Denial of service (DoS) attacks and distributed denial of service (DDoS) attacks are probably the most ferocious threats in the Internet, resulting in tremendous economic and social implications/impacts on our daily lives that are increasingly depending on the wellbeing of the Internet. How to …
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Flow-oriented anomaly-based detection of denial of service attacks with flow-control-assisted mitigation
Flooding-based distributed denial-of-service (DDoS) attacks present a serious and major threat to the targeted enterprises and hosts. Current protection technologies are still largely inadequate in mitigating such attacks, especially if they are large-scale. In this doctoral dissertation, the …
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Distributed Denial of Service Attack Detection
<p>Distributed Denial of Service (DDoS) attacks on web applications has been a persistent threat. Successful attacks can lead to inaccessible service to legitimate users in time and loss of business reputation. Most research effort on DDoS focused on network layer attacks. Existing approaches on …
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Distributing network identity to mitigate denial-of-service attacks
… CONTRA. Camouflage of Network Traffic to Resist Attacks, project was carried out by Draper Laboratory to provide a defense mechanism against distributed denial of service (DDoS) attacks to both prevent DDoS attacks and mitigate their effects. This Masters project looks at the CONTRA system and …
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Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses
… perform its normal tasks. The extension of these attacks to include many malicious machines became known as Distributed Denial-of-Service (DDoS) attacks. DDoS attacks cause an immense amount of strain on both the victim and the devices used to reach the victim. In reaction to these attacks, …
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An improved agent-based adaptive protection model for distributed denial of service flooding attack and flash crowd flooding traffic
… could be a Distributed Denial of Service (DDoS) attack. The advent of technological era has also brought along the threat of DDoS attacks for a variety of services and applications that use the Internet. Firms can incur huge financial losses even if there is a disruption in services for a …
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Using network management systems to detect Distributed Denial of Service Attacks
Distributed Denial of Service (DDoS) Attacks have been increasingly found to be affecting the normal functioning of organizations causing billions of dollars of losses. Organizations are trying their best to minimize their losses from these systems. However, most of the organizations widely use the …
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Deep learning for DDoS attack detection in mobile edge computing
… the Distributed Denial of Service attack (DDoS) which has become common in recent years. Compared to cloud environments, MEC networks have their own constraints, including limited resources and computational power. These constraints necessitate a careful consideration of how available ML …
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An effective network flow prioritization approach in DDoS scenarios
… modern Internet, Distributed Denial-of-Service (DDoS) has been a constant threat to all web services. 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 …
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Stateful anycast for distributed DDoS mitigation
Distributed denial-of-service (DDoS) attacks can easily cripple victim hosts or networks, yet effective defenses remain elusive. Normal anycast can be used to force the diffusion of attack traffic over a group of several hosts to increase the difficulty of saturating resources at or near any one of …
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An intrusion detection system for DDoS flooding attacks on IPv6 networks using deep learning techniques
The news about distributed denial of service (DDoS) attacks is rapidly increased around the world. Many services of companies and/or governments are victims of the attack. The main purpose of DDoS attacks is to overload the service for a long time, rather than to steal money or data from the …
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