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 39 for “"Distributed Denial of Service (DDoS)"”.
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Distributing network identity to mitigate denial-of-service attacks
The 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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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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Application-level distributed denial of service prevention in a replicated system
This paper presents the design and implementation of DFQ (Distributed Fair Queueing), a distributed system for defending a replicated set of HTTP servers against application-level distributed denial of service (DDoS) attacks. By using a modification of weighted fair queueing, all clients are …
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Reducing Latency and Increasing Resilience to Cyberattacks on Networks
… constant need for Internet access, the multitude of requests from various user devices for content from multiple sources causes routers to suffer high latency if data transmissions are mismanaged. Furthermore, if an attack, such as Denial of Service (DoS) or Distributed Denial of Service (DDoS), …
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An effective network flow prioritization approach in DDoS scenarios
In the 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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Defense against network attacks using game theory
… attacks have been used to achieve a wide gamut of objectives ranging from overloading a website to accessing classified data. Effective defense against such attacks is a critical research area. In this thesis, we demonstrate how game theory can be used to devise effective defense systems. We …
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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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Investigating coevolutionary algorithms for finding Nash equilibria in cybersecurity problems
Distributed Denial of Service (DDoS) cyberattacks continue to increase and cause disruptions in both industry and politics. As more critical information and services are provided through networks, it becomes more important to keep these networks available. However, since cyber-adversaries …
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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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Monitoring unknown source IP addresses and packet sizes to detect DDoS attacks
This thesis presents three procedures 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 …
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Adaptive Reinforcement Learning-Based Fuzzer for 5G RRC Security Evaluation
This thesis presents the development of an adaptive fuzzing framework leveraging the UER- ANSIM simulator to assess the security and resilience of 5G networks. The proposed approach specifically targets potential vulnerabilities in message exchange sequences, authentication procedures, and resource …
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IP traceback with deterministic packet marking DPM
… overhead on the network equipment. It is capable of tracing thousands of simultaneous attackers during a Distributed Denial of Service (DDoS) attack. Given sufficient deployment on the Internet, DPM is capable of tracing back to the slaves for DDoS attacks which involve reflectors. Most of the …
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Proof-of-Work Based Mitigation of Real Time Video DDoS Attacks
… continues to grow in size 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 …
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A comprehensive study of distributed denial of service attack with the detection techniques
Today, net related net services are indivisible in our life. Therefore, for the success of certain types of organizations, some sustained simplification of services is essential. However, these service area units were usually hindered by the constant threat from numerous kinds of attacks. One such …
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SDN based security using cognitive algorithm against DDOS
… deploying multiple systems to cater for the need of all users. The higher bandwidth utilization and flexibility demanded new networking solutions which paved way for Software Defined Network (SDN). SDN is centralized platform which works with other technologies such as Network Function …
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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
Software Defined Networks (SDN) has created great potential and hope to overcome the need for secure, reliable and well managed next generation networks to drive effective service delivery on the go and meet the demand for high data rate and seamless connectivity expected by users. Thus, it is a …
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Mitigating Network-Based Denial-of-Service Attacks with Client Puzzles
Over the past few years, denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks have become more of a threat than ever. These attacks are aimed at denying or degrading service for a legitimate user by any means necessary. The need to propose and research novel methods to mitigate …
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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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An improved agent-based adaptive protection model for distributed denial of service flooding attack and flash crowd flooding traffic
… disturbance for network security 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 …
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