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 71 for “"DDoS"”.
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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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Polymorphic Adversarial DDoS attack on IDS using GAN
… original data. I proposed a model to generate DDoS attacks using a WGAN. I used several techniques to update the attack feature profile and generate polymorphic data. This data will change the feature profile in every cycle to test if the IDS can detect the new version attack data. Simulation …
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SDN based security using cognitive algorithm against DDOS
… risks such as Distributed Denial of Service (DDOS) are of grave concern. This encourages towards reliable and rapid response solutions such as Cognitive Algorithms (CA) which can adapt to a threat in real time environment. This dissertation proposes the use of CA to deploy security and …
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DDoS defence for service availability in cloud computing
… challenge. Distributed Denial of Service (DDoS) attacks are not a new threat but they remain a major security challenge in achieving a secure and guaranteed service and resources in cloud computing. Mitigating DDoS attack in cloud computing presents a new dimension to the solutions …
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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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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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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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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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Defending Against DDoS and Unauthorized Access Attacks in Information Centric Networking
… routes to cause Distributed Denial of Service (DDoS) and cache pollution.Hence, we propose a solution for Defending Against DDoS in ICN routing and caching (DADI). DADI limits malicious requests, selects top-ranked contents and publishers, marks malicious routes, and caches the most popular …
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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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Demilitarized Zone: An Exceptional Layer of Network Security to Mitigate DDoS Attack
… whether the network with DMZ can sustain the DDoS attack generated using the python script better than the network without DMZ or not. The network is emulated using GNS3 to keep the host system isolated from the attacking vectors. Kali Linux virtual machine is used to resemble the attacker. …
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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
… high rate distributed denial of service attacks (DDoS). A per flow approach coupled with the Deterministic Packet Marking scheme is used to detect and block attack flows autonomously. The solution provides a rapid detection and recovery procedure during an attack.
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Detection of DoS and DDoS attacks on 5G network slices using deep learning approach
… (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 of slices. The primary objective of this thesis is to examine the impact 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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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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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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On mitigating distributed denial of service attacks
… (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 mitigate these …
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