A Collaborative DDoS Mitigation Solution Based on Ethereum Smart Contract and RNN-LSTM

Essaid, Meryam; Kim, Dae-Yong; Maeng, Soo Hoon; Park, Se Jin; Ju, Hong Taek

doi:10.23919/apnoms.2019.8892947

Cited by 23 publications

(11 citation statements)

References 11 publications

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“…The proposed solutions for DDoS attacks detection mainly identifies the source IP address and use blockchain technology to store the transactions and share the IP address among the stakeholders to block/whitelist the IP address with trust and validation at the network level [71][72] [73] [74] [71] [67] [75] [65]. These solutions assume that the originating malicious IP addresses are not spoofed, and this condition is not always true.…”

Section: Spoofed Ip Ddos Attacks Detectionmentioning

confidence: 99%

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions

Chaganti¹,

Bhushan²,

Sowmya³

2022

Preprint

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With the proliferation of new technologies such as Internet of Things (IOT) and Software-Defined Networking (SDN) in the recent years, the distributed denial of service (DDoS) attack vector has broadened and opened new opportunities for more sophisticated DDoS attacks on the targeted victims. The new attack vector includes unsecured and vulnerable IoT devices connected to the internet, denial of service vulnerabilities like southbound channel saturation in the SDN architecture. Given the high-volume and pervasive nature of these attacks, it is beneficial for stakeholders to collaborate in detecting and mitigating the denial of service attacks in a timely manner. The blockchain technology is considered to improve the security aspects owing to the decentralized design, secured distributed storage and privacy. A thorough exploration and classification of blockchain techniques used for DDoS attack mitigation is not explored in the prior art. This paper reviews and categorizes the existed state-of-the-art DDoS mitigation solutions based on blockchain technology. The DDoS mitigation techniques are classified based on the solution deployment location i.e. network based, near attacker location, near victim location and hybrid solutions in the network architecture with emphasis on the IoT and SDN architectures. Additionally, based on our study, the research challenges and future directions to implement the blockchain based DDoS mitigation solutions are discussed. We believe that this paper could serve as a starting point and reference resource for future researchers working on denial of service attacks detection and mitigation using blockchain technology.

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Section: Spoofed Ip Ddos Attacks Detectionmentioning

confidence: 99%

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions

Chaganti¹,

Bhushan²,

Sowmya³

2022

Preprint

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“…Liang et al 30 identified shortcomings in existing machine learning approaches and proposed an LSTM-based framework for DDoS detection and deep learning details. Essaid et al 31 proposed a blockchain technology to combat DDoS attacks by utilizing autonomous systems (Ass) capable of sharing hardware resources. This method only denies specific traffic that causes the attack using deep learning.…”

Section: Related Workmentioning

confidence: 99%

Intelligent software defined networking: Long short term memory‐graded rated unit enabled block‐attack model to tackle distributed denial of service attacks

Jagtap

Saravanan

2022

Trans Emerging Tel Tech

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Software defined networking (SDN) is the next‐generation network. SDN enhances the programming flexibility, speed and automation to improve the network's performance. In recent times SDN has played a vital role in networking technology. It communicates with underlying hardware infrastructure and directs traffic on a network. The most complicated issue in SDN is the control plane's single point of failure (SPF). The main reason for raising the SPF problem in SDN by distributed denial of service (DDoS) attacks. The network collapses during failures in SDN, and the control plane is considered a management controller. Therefore, a novel intrusion detection and prevention system (IDPS) is proposed in the proposed approach to address SDN's problems mentioned above. In the proposed approach, a long short term memory (LSTM) and graded rated unit (GRU) deep learning model is proposed as the “Block‐Attack” model. The main objective of using LSTM and GRU in the proposed approach is to enhance the rate of accuracy in detecting DDoS attacks in an SDN environment. The CICDDoS2019 dataset is used for experimental result analysis in the proposed approach. Initially, the dataset is fed into the preprocessing stage. Using the K‐medoid technique, raw datasets are preprocessed to reduce the model's sensitivity to low density. In the proposed approach, the support vector machine based machine learning (SVM‐ML) technique is utilized to prevent DDoS attacks in a Mininet‐based emulation. Then, LSTM and GRU deep learning (DL) techniques are used to define the block‐attack model to enhance the detection performance. The experimental results of the proposed approach “Block‐Attack” model attain 98.5% of accuracy to detect and prevent the DDoS attacks and 95.5% of accuracy for SVM based method.

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“…The request is granted based on the access control policy stored inside the blockchain, granting automatic permissions to edge devices for actions over the blockchain network. A similar conceptual model is presented in [20] using SDN, RNN-LSTM and smart contracts.…”

Section: Artificial Intelligencementioning

confidence: 99%

“…Different methods and technologies have been employed in previous years to tackle this severe resource drainer attack, such as machine learning [17][18][19], deep learning [20,21], reinforcement learning [22], SDN [23][24][25][26][27], protocol tuning [28,29], network traffic classifiers [30,31], network function virtualization [32][33][34], fog computing [35] and reputation scoring, among others. In addition to struggling with scalability, high computation and communication overhead, the aforementioned methods do not perform effectively in real world DDoS attacks.…”

Section: Introductionmentioning

confidence: 99%

Distributed Denial of Service (DDoS) Mitigation Using Blockchain—A Comprehensive Insight

et al. 2021

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Distributed Denial of Service (DDoS) attack is a major threat impeding service to legitimate requests on any network. Although the first DDoS attack was reported in 1996, the complexity and sophistication of these attacks has been ever increasing. A 2 TBps attack was reported in mid-August 2020 directed towards critical infrastructure, such as finance, amidst the COVID-19 pandemic. It is estimated that these attacks will double, reaching over 15 million, in the next 2 years. A number of mitigation schemes have been designed and developed since its inception but the increasing complexity demands advanced solutions based on emerging technologies. Blockchain has emerged as a promising and viable technology for DDoS mitigation. The inherent and fundamental characteristics of blockchain such as decentralization, internal and external trustless attitude, immutability, integrity, anonymity and verifiability have proven to be strong candidates, in tackling this deadly cyber threat. This survey discusses different approaches for DDoS mitigation using blockchain in varied domains to date. The paper aims at providing a comprehensive review, highlighting all necessary details, strengths, challenges and limitations of different approaches. It is intended to serve as a single platform to understand the mechanics of current approaches to enhance research and development in the DDoS mitigation domain.

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A Collaborative DDoS Mitigation Solution Based on Ethereum Smart Contract and RNN-LSTM

Cited by 23 publications

References 11 publications

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions

The role of Blockchain in DDoS attacks mitigation: techniques, open challenges and future directions

Intelligent software defined networking: Long short term memory‐graded rated unit enabled block‐attack model to tackle distributed denial of service attacks

Distributed Denial of Service (DDoS) Mitigation Using Blockchain—A Comprehensive Insight

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