Mitigating loT Device based DDoS Attacks using Blockchain

Javaid, Uzair; Siang, Ang Kiang; Aman, Muhammad Naveed; Sikdar, Biplab

doi:10.1145/3211933.3211946

Cited by 77 publications

(38 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It mainly uses white and black lists of IPs as a security mechanism against DDoS attacks. Another similar approach [27] introduces blockchain as a defense mechanism against DDoS attacks launched by rogue physical devices. Authors propose the integration of communication between IoT devices and servers with an Ethereum blockchain instance and they suggest that such attacks can be prevented by utilizing the gas limit feature of Ethereum.…”

Section: Blockchain and Ddos Detectionmentioning

confidence: 99%

See 1 more Smart Citation

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

et al. 2019

View full text Add to dashboard Cite

Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and software. Existing security models, approaches and solutions are not able to sufficiently protect such systems. In this paper we propose the use of lightweight agents installed at multiple internet of things (IoT) installations (e.g., smart-homes), in order to collaboratively detect distributed denial of service (DDoS) attacks conducted by the use of IoT devices botnets. Specifically, agents exchange outbound traffic information in order to identify possible victims of DDoS attacks. This information exchange is governed by a blockchain smart contract, that ensures the integrity of both the procedure and the information. A simulation of the operation of the proposed methodology has been conducted in order to evaluate both its detection efficiency and its resilience against malicious agents that aim to falsify results.

show abstract

Section: Blockchain and Ddos Detectionmentioning

confidence: 99%

“…Rodrigues et al [28] Javaid et al [27] Rodrigues et al [26] François et al [35] Chen et al [36] Chin et al [37] Patil et al [38] Sagirlar et al [39] Our approach…”

Section: Responsiveness Scalabilitymentioning

confidence: 99%

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This information may include the IP addresses of the attackers that performed DDoS, the IP addresses of the victims of these attacks, as well as whitelisted IP addresses. In addition to those, [27] proposes making the IoT devices and the server with which they communicate members of an Ethereum network in order to prevent DDoS. For a device to send data to the server, it must generate a transaction containing these data and submit it to the blockchain.…”

Section: Related Workmentioning

confidence: 99%

“…This is done to protect the server from DDoS attacks in case the devices become bots. However, [27] does not consider using delays the mining process causes as an additional way to mitigate DDoS attacks, something we do to mitigate CDoS attacks.…”

Section: Related Workmentioning

confidence: 99%

BARRETT BlockchAin Regulated REmote aTTestation

Bampatsikos

Ntantogian

Xenakis

et al. 2019

IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume

View full text Add to dashboard Cite

Today, an increasing number of Internet of Things (IoT) healthcare devices, crucial to a person's wellbeing and life, connects to the internet and consequently is exposed to a variety of threats. These devices possess low computational resources, and as a result they cannot use security tools such as antivirus or firewalls. Consequently, they become easy targets for cyber-attacks and malware infection, thus putting a person's life at risk. One way to protect these devices from malware infection is Remote Attestation (RA), a process by which a device with low computational power (prover) verifies its internal state to a party with higher computational resources (verifier) upon the latter's request. However, in case the verifier is malicious, it may constantly send numerous requests for RA to a prover to prevent it from performing the functions it was designed for. Thus, keeping it busy and rendering it unusable to its legit users as well as services. In short, the verifier performs a Computational Denial of Service (CDoS) attack against the prover. This paper proposes the BARRETT architecture which uses a Public Ethereum Network (PEN) in conjunction with an RA protocol to protect the prover from CDoS attacks. In particular, the PEN in BARRETT deters CDoS by forcing the verifier to pay a fee in Ether cryptocurrency every time they wish to send an Attestation Request (AR) to a prover. The verifier pays the fee since in BARRETT it can send the AR only via Ethereum transactions. Consequently, any attempt to perform a CDoS becomes prohibitively expensive. CCS CONCEPTS• Social and professional topics~Health information exchanges

show abstract

“…This enables several applications, ranging from the exchange of cryptocurrencies, to financial applications, storing and management of tokens and digital assets, notary systems, identity management, voting systems, and up to those application that require the traceability of resources and assets . Several works find many application domains in healthcare, supply chain, Internet of Things, etc …”

Section: Introductionmentioning

confidence: 99%

On the Ethereum blockchain structure: A complex networks theory perspective

Ferretti

D’Angelo

2019

Concurrency and Computation

101

View full text Add to dashboard Cite

In this paper, we analyze the Ethereum blockchain using the complex networks modeling framework. Accounts acting on the blockchain are represented as nodes, while the interactions among these accounts, recorded on the blockchain, are treated as links in the network. Using this representation, it is possible to derive interesting mathematical characteristics that improve the understanding of the actual interactions happening in the blockchain. Not only, by looking at the history of the blockchain, it is possible to verify if radical changes in the blockchain evolution happened.

show abstract

Mitigating loT Device based DDoS Attacks using Blockchain

Cited by 77 publications

References 10 publications

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

BARRETT BlockchAin Regulated REmote aTTestation

On the Ethereum blockchain structure: A complex networks theory perspective

Contact Info

Product

Resources

About