Game-based Simulation of Distributed Denial of Service (DDoS) Attack and Defense Mechanisms of Critical Infrastructures

Poisel, Rainer; Rybnicek, Marlies; Tjoa, Simon

doi:10.1109/aina.2013.66

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…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

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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.

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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

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“…Parallel analysis is therefore allowed and computational cost reduces. In [10], anticipation game theory is incorporated with ABM to simulate the impacts of Distributed Denial of Service (DDoS) attacks on CIs in the form of cyber interdependencies. In the model, the major players, defenders and attackers, are represented as agents in the game and they interact based on the rules derived from DDoS graph.…”

Section: A Agent Based Modellingmentioning

confidence: 99%

Critical appraisal of tools and methodologies for studies of cascading failures in coupled critical infrastructure systems

Chen

Milanović

2017

IEEE EUROCON 2017 -17th International Conference on Smart Technologies

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Integration of critical infrastructures contributes to an increasing complexity and heterogeneity of their interdependencies, which results in a more detailed analysis process with emphasis on a certain aspect of the interactions such as cascading effects rather than the overarching system modelling and simulation. When external disturbances like natural disasters and intentional attacks take place, induced cascading failures are more likely to happen in large scale than they used to be. Their propagation paths and time-dependent behaviours are largely unknown to the area researchers and post-disaster consequences are rather difficult to quantify. This paper is presenting critical appraisal of existing methodologies for modelling cascading failures in interconnected systems. General explanations of the most widely used methodologies are firstly illustrated with the emphasis on their advantages and disadvantages and with the aim of choosing appropriate modelling and simulation methods for study of cascading failures in coupled electric power grids and telecommunication systems.

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“…Recent history shows that it is very difficult to authenticate whether an event comprises normal traffic or malicious attempt/attack [4]. In addition, DoS attacks have one special characteristic which distinguishes them from other network attacks [5]: in order to attack there is no need for the intruder to penetrate and exploit the target network.…”

Section: Introductionmentioning

confidence: 99%

Detection of collaborative cyber-attacks through correlation and time dependency analysis

Thoma

Hadjicostis

2016

2016 18th Mediterranean Electrotechnical Conference (MELECON)

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In this paper, we consider the detection of suspiciously high correlation between malicious Internet users that are collaborating in order to cause a Denial of Service (DoS) Attack. The main goal is to recognise cyber incidents (more specifically, collaboration/dependency between different users) in order to ultimately isolate their behavior and avoid the consequenses of the DoS attack. The method relies on the analysis of the data traffic across the concerned network (with both incoming and outgoing traffic) in an effort to identify correlations between different users. The paper models normal and malicious behaviour via hidden Markov models, and analyses the performance of the method using both mathematical reasoning and simulations.

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Game-based Simulation of Distributed Denial of Service (DDoS) Attack and Defense Mechanisms of Critical Infrastructures

Cited by 7 publications

References 15 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

Critical appraisal of tools and methodologies for studies of cascading failures in coupled critical infrastructure systems

Detection of collaborative cyber-attacks through correlation and time dependency analysis

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