Game-Theoretical Effectiveness Evaluation of DDoS Defense

Shi, Peng; Lian, Yong

doi:10.1109/icn.2008.121

Cited by 7 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…10. In the search for new platforms for developing quick and accurate defense mechanisms, multiple new environments are being surveyed, like incentive-based defense mechanism centered on QoS and budget constraints (Dahiya & Gupta, 2019;Dahiya & Gupta, 2021a;Dahiya & Gupta, 2021b), game-theory (He et al, 2021;Michalas et al, 2011;Poisel et al, 2013;Selvi & Shebin, 2016;Shi & Lian, 2008;Sung & Hsiao, 2019;Wu et al, 2020) and deep learning (Doriguzzi-Corin et al, 2020;Hussain et al, 2020;Li et al, 2018;Roopak et al, 2019;Yuan et al, 2017).…”

Section: Open Challenges and Future Research Directionsmentioning

confidence: 99%

Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms

Singh

Gupta

2022

International Journal on Semantic Web and Information Systems

View full text Add to dashboard Cite

The demand for Internet security has escalated in the last two decades because the rapid proliferation in the number of Internet users has presented attackers with new detrimental opportunities. One of the simple yet powerful attack, lurking around the Internet today, is the Distributed Denial-of-Service (DDoS) attack. The expeditious surge in the collaborative environments, like IoT, cloud computing and SDN, have provided attackers with countless new avenues to benefit from the distributed nature of DDoS attacks. The attackers protect their anonymity by infecting distributed devices and utilizing them to create a bot army to constitute a large-scale attack. Thus, the development of an effective as well as efficient DDoS defense mechanism becomes an immediate goal. In this exposition, we present a DDoS threat analysis along with a few novel ground-breaking defense mechanisms proposed by various researchers for numerous domains. Further, we talk about popular performance metrics that evaluate the defense schemes. In the end, we list prevalent DDoS attack tools and open challenges.

show abstract

Section: Open Challenges and Future Research Directionsmentioning

confidence: 99%

Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms

Singh

Gupta

2022

International Journal on Semantic Web and Information Systems

View full text Add to dashboard Cite

show abstract

“…Based on the assumption that there are only three-level attack rates (i.e., high, medium, and low), a number of optimal constant-rate DDoS attack strategies have been presented [29]- [32]. On the other hand, the effect of continuous attack rates on the attack benefit has been studied through game-theoretic approach [33]- [38].…”

Section: B Ddos Attack Strategymentioning

confidence: 99%

A Low-Cost Distributed Denial-of-Service Attack Architecture

Huang

Yang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

With the advent of Internet-of-Things (IoT) age, IoT-based distributed denial-of-service (DDoS) attacks have become the mainstream of DDoS attacks. This paper is devoted to exploring the possibility of launching an IoT-based DDoS attack at an extremely low cost. First, a new DDoS attack architecture is proposed. Since the proposed architecture enjoys the advantages of zero management cost, good undetectability, and strong robustness, it is especially suited to resource-limited DDoS attackers. In this architecture and based on a novel botnet growth model, the optimal design of attack strategy is reduced to a variational problem, where the objective functional stands for the estimated expected impact of the DDoS attack associated with a DDoS attack strategy. Finally, the variational problem is resolved for three different types of DDoS defense strategies. This work deepens our understanding of IoT-based DDoS attacks. INDEX TERMS Cybersecurity, distributed denial-of-service (DDoS) attack, Internet-of-Things (IoT), DDoS attack architecture, botnet growth model, attack strategy, variational problem.

show abstract

“…The CBR traffic generator is widely used to imitate a flooding attack, which is also applied in [22,23].The other nodes in the network generate packets with the size randomly distributing from 2 to 16 flits. DoS-4Corner: This scenario is similar to the DoS4Center scenario.…”

Section: A Experiments Setupmentioning

confidence: 99%

Robustness Analysis of Mesh-Based Network-on-Chip Architecture under Flooding-Based Denial of Service Attacks

Fang

Han

et al. 2013

2013 IEEE Eighth International Conference on Networking, Architecture and Storage

View full text Add to dashboard Cite

The attacks such as Denial of Service (DoS) violate the security of Network-on-Chip (NoC) which emerges as a promising solution for multi-core system. In this paper, we explore the robustness of mesh-based NoC architecture under various flooding-based DoS attacks. Simulation results reveal that the robustness of NoC architecture can be correlated with parameters such as routing algorithm, the number and positions of attacked nodes. It indicates that deterministic routing algorithm xy will result in less performance degradation than using other four adaptive routing algorithms studied in this paper when the attack traffic rate is lower than 0.65. However, the opposite conclusion can be made if much higher attack traffic rate is used. The performance degradation would escalate with the increasing number of attacked nodes. Moreover, the locations of attacked nodes will have an impact on the degree of performance degradation. Last but not least, some design guidelines for NoC against DoS attacks are proposed.

show abstract

Game-Theoretical Effectiveness Evaluation of DDoS Defense

Cited by 7 publications

References 11 publications

Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms

Distributed Denial-of-Service (DDoS) Attacks and Defense Mechanisms in Various Web-Enabled Computing Platforms

A Low-Cost Distributed Denial-of-Service Attack Architecture

Robustness Analysis of Mesh-Based Network-on-Chip Architecture under Flooding-Based Denial of Service Attacks

Contact Info

Product

Resources

About