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 21 for “"Distributed Denial of Service (DDoS) Attacks"”.
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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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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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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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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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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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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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Detection of DoS and DDoS attacks on 5G network slices using deep learning approach
A new degree of connectedness and interaction has been introduced by the development of 5G networks. By dividing a physical network into several logical networks, 5G network slicing is a special feature that gives network operators the ability to allocate specific resources and services to various …
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Evaluation of Moving Target IPv6 Defense and Distributed Denial of Service Defenses
A Denial-of-Service (DoS) attack is a network attack from a single machine that attempts to prevent the victim, the targeted machine, from communicating to other devices on the network or perform its normal tasks. The extension of these attacks to include many malicious machines became known as …
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DDoS defence for service availability in cloud computing
Cloud computing presents a convenient way of accessing services, resources and applications over the Internet by shifting the focus of industries and organizations from the deployment and day-to-day running of their IT facilities, to provide an on-demand, self-service, and pay-as-you-go business …
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Enhancing network robustness using software-defined networking
… networks are less robust towards failures and attacks. For example, computer networks and power networks are interdependent. Computer networks provide smart control for power networks, while power networks provide power supply. Localized network failures and attacks are amplified and …
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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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Network optimization in adversarial environments
… tractability. However, an increasing number of real-world networked systems exhibit complex behaviors that cannot be captured by the simple stochastic models, such as networks under malicious attacks and networks with uncontrollable nodes. In this thesis, we study efficient network control …
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Achieving Data Privacy and Security in Cloud
The growing concerns in term of the privacy of data stored in public cloud have restrained the widespread adoption of cloud computing. The traditional method to protect the data privacy is to encrypt data before they are sent to public cloud, but heavy computation is always introduced by this …
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