Simulation of DDOS Attacks on P2P Networks

Qwasmi, Nidal; Ahmed, Fayyaz; Liscano, Ramiro

doi:10.1109/hpcc.2011.86

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…We tested our proposed mechanism as simulation experiment in OPNET Modeler as per [14], [15], [16]. The experiments are performed in a campus network where DC requesters are grouped in three subnets and each subnet has got 400 workstations.…”

Section: Methodsmentioning

confidence: 99%

Packet Resonance Strategy: A Spoof Attack Detection and Prevention Mechanism in Cloud Computing Environment

Jeyanthi

Iyengar

2022

Int. j. commun. netw. inf. secur.

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Distributed Denial of Service (DDoS) is a major threat to server availability. The attackers hide from view by impersonating their IP addresses as the legitimate users. This Spoofed IP helps the attacker to pass through the authentication phase and to launch the attack. Surviving spoof detection techniques could not resolve different styles of attacks. Packet Resonance Strategy (PRS) armed to detect various types of spoof attacks that destruct the server resources or data theft at Datacenter. PRS ensembles to any Cloud Service Provider (CSP) as they are exclusively responsible for any data leakage and sensitive information hack. PRS uses two-level detection scheme, allows the clients to access Datacenter only when they surpass initial authentication at both levels. PRS provides faster data transmission and time sensitiveness of cloud computing tasks to the authenticated clients. Experimental results proved that the proposed methodology is a better light-weight solution and deployable at server-end.

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Section: Methodsmentioning

confidence: 99%

Packet Resonance Strategy: A Spoof Attack Detection and Prevention Mechanism in Cloud Computing Environment

Jeyanthi

Iyengar

2022

Int. j. commun. netw. inf. secur.

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“…An attack scenario is created that reflects the DDoS attack launched by sophisticated DDoS tools like Low Orbit Ion cannon [23]. [24] [25] explains more about cloud computing support of simulator. The simulator is deployed and assessed for end-to-end response time [25].…”

Section: Methodsmentioning

confidence: 99%

“…[24] [25] explains more about cloud computing support of simulator. The simulator is deployed and assessed for end-to-end response time [25]. Simulator supports DDoS [26] and performance Comparison for QoS (Quality-of-Service) Application in On-Demand Cloud Computing [27] [28].…”

Section: Methodsmentioning

confidence: 99%

An Enhanced Entropy Approach to Detect and Prevent DDoS in Cloud Environment

Jeyanthi

Iyengar²,

Kumar³

et al. 2022

Int. j. commun. netw. inf. secur.

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Distributed Denial of Service (DDoS) attack launched in Cloud computing environment resulted in loss of sensitive information, Data corruption and even rarely lead to service shutdown. Entropy based DDoS mitigation approach analyzes the heuristic data and acts dynamically according to the traffic behavior to effectively segregate the characteristics of incoming traffic. Heuristic data helps in detecting the traffic condition to mitigate the flooding attack. Then, the traffic data is analyzed to distinguish legitimate and attack characteristics. An additional Trust mechanism has been deployed to differentiate legitimate and aggressive legitimate users. Hence, Goodput of Datacenter has been improved by detecting and mitigating the incoming traffic threats at each stage. Simulation results proved that the Enhanced Entropy approach behaves better at DDoS attack prone zones. Profit analysis also proved that the proposed mechanism is deployable at Datacenter for attack mitigation and resource protection which eventually results in beneficial service at slenderized revenue

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“…Since each node also acts as router, the malware spreads faster aiding severe DDoS attacks in a P2P network (Naoumov & Ross, 2006;Yue et al, 2009). A study demonstrating the impact of a DDoS attack on a P2P network by simulating the same using Gia network is available in (Qwasmi et al, 2011).…”

Section: Ddos Attacks In P2p Environmentsmentioning

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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Simulation of DDOS Attacks on P2P Networks

Cited by 7 publications

References 8 publications

Packet Resonance Strategy: A Spoof Attack Detection and Prevention Mechanism in Cloud Computing Environment

Packet Resonance Strategy: A Spoof Attack Detection and Prevention Mechanism in Cloud Computing Environment

An Enhanced Entropy Approach to Detect and Prevent DDoS in Cloud Environment

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

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