Peer to Peer for Privacy and Decentralization in the Internet of Things

Conoscenti, Marco; Vetrò, Antonio; Martin, Juan Carlos De

doi:10.1109/icse-c.2017.60

Cited by 73 publications

(39 citation statements)

References 3 publications

(3 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Meanwhile, edge computing service providers cannot decrypt transactions which maintains security at the edge computing sub layer. Encryption using symmetric keys as employed in Conoscenti et al; Dorri et al; Zyskind and Nathan [18,44,49] does not guarantee effective data confidentiality, since keys are transmitted together with sensor data. An eavesdropper who listens to traffic between communicating parties can successfully capture encryption keys hence decrypt data meant for either party.…”

Section: Resultsmentioning

confidence: 99%

“…The authors concluded that encryption and hashing operations performed by the miner on all transactions are non-trivial processes compared to the encryption operation done by individual devices. The work in Conoscenti et al [49] uses blockchain technology in place of a centralized server for sensor data storage. Like cryptocurrencies, sensor data in the proposed system are managed by users via a distributed database.…”

Section: A Blockchain-based Security and Privacy Preservation Schemementioning

confidence: 99%

“…The cluster head in this case has resources enough to carry out data processing and encryption. Proposed works in Conoscenti et al [49], Dorri et al [18], and Zyskind and Nathan [44] all focused on the use of symmetric encryption where shared keys are transmitted with encrypted www.ijacsa.thesai.org data to participants. Unfortunately, an eavesdropper can decrypt encrypted data using the captured keys when such encryption schemes are employed.…”

Section: A Blockchain-based Security and Privacy Preservation Schemementioning

confidence: 99%

“…Motivated by this, we propose a framework that secures sensor data transmitted between mobile and edge nodes during sensing activities. Different from the approach used in Conoscenti et al, Dorri et al, Zyskind and Nathan [18,44,49] where symmetric keys are transmitted with the encrypted data which makes sensor data susceptible to attack, we employ public key cryptography for key establishment between blockchain nodes.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

Owoh¹,

Mahinderjit²

2019

ijacsa

View full text Add to dashboard Cite

Mobile blockchain has achieved huge success with the integration of edge computing services. This concept, when applied in mobile crowd sensing, enables transfer of sensor data from blockchain clients to edge nodes. Edge nodes perform proof-of-work on sensor data from blockchain clients and append validated data to the chain. With this approach, blockchain can be performed pervasively. However, securing sensitive sensor data in a mobile blockchain (client/edge node architecture) becomes imperative. To this end, this paper proposes an integrated framework for mobile blockchain which ensures key agreement between clients and edge nodes using Elliptic Curve Diffie-Hellman algorithm. Also, the framework provides efficient encryption of sensor data using the Advanced Encryption Standard algorithm. Finally, key agreement processes in the framework were analyzed and results show that key pairing between the blockchain client and the edge node is a non-trivial process.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: A Blockchain-based Security and Privacy Preservation Schemementioning

confidence: 99%

Section: A Blockchain-based Security and Privacy Preservation Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

Owoh¹,

Mahinderjit²

2019

ijacsa

View full text Add to dashboard Cite

show abstract

“…Therefore, there is need for investigating when both technologies can be applied appropriately. In that sense, the literature [9,37,[39][40][41][42][43] has been addressing the following: (i) A cost-effective Blockchain that fits low-capability devices (ii) Micropayments between sensors for paying for data (iii) Computation and knowledge extraction from sensitive data (iv) Integration on smart homes, smart cities, or enabling shared economy All of the above discussion is about applicability and solutions for connecting Blockchain and IoT. In this way, it becomes necessary to know the main weaknesses to which Blockchain is exposed and to keep it in mind when developing new applications.…”

Section: Cases Of Use For Providing Security and Privacy At Iot Usingmentioning

confidence: 99%

A Survey of How to Use Blockchain to Secure Internet of Things and the Stalker Attack

Jesus

Chicarino

Albuquerque

et al. 2018

Security and Communication Networks

185

View full text Add to dashboard Cite

The Internet of Things (IoT) is increasingly a reality today. Nevertheless, some key challenges still need to be given particular attention so that IoT solutions further support the growing demand for connected devices and the services offered. Due to the potential relevance and sensitivity of services, IoT solutions should address the security and privacy concerns surrounding these devices and the data they collect, generate, and process. Recently, the Blockchain technology has gained much attention in IoT solutions. Its primary usage scenarios are in the financial domain, where Blockchain creates a promising applications world and can be leveraged to solve security and privacy issues. However, this emerging technology has a great potential in the most diverse technological areas and can significantly help achieve the Internet of Things view in different aspects, increasing the capacity of decentralization, facilitating interactions, enabling new transaction models, and allowing autonomous coordination of the devices. The paper goal is to provide the concepts about the structure and operation of Blockchain and, mainly, analyze how the use of this technology can be used to provide security and privacy in IoT. Finally, we present the stalker, which is a selfish miner variant that has the objective of preventing a node to publish its blocks on the main chain.

show abstract

Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region

Baralla

Pinna

Tonelli

et al. 2020

Concurrency and Computation

View full text Add to dashboard Cite

Summary This article proposes a blockchain oriented platform to guarantee the origin and provenance of food items in a Smart Tourism Region context. Local food and beverage, in fact, can become a good combination to attract tourist and to promote the area provided that their provenance is clearly certified. We designed and developed a blockchain‐based system to manage an agri‐food supply chain for tracking food items. By using smart contracts the platform guarantees transparency, efficiency and trustworthiness. Our system is particularly suitable to manage cold chain since the system interfaces with IoT network devices providing detailed information about data monitoring food such as storage temperature, environment humidity, and GPS data. All involved actors can share data and information in a more efficient, transparent, and tamper proof way than traditional systems. The final consumer can access with transparency to all the agri‐food chain of the purchased product and verify provenance by retrieving all detailed information registered in the blockchain public ledger. The proposed system has been designed according to the ABCDE method, an agile development process recently conceived, to obtain a higher software quality to design a general blockchain system by means software engineering practices. A real case study applied to local products from Sardinia, Italy, is proposed at the end of the article.

show abstract

Peer to Peer for Privacy and Decentralization in the Internet of Things

Cited by 73 publications

References 3 publications

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

A Survey of How to Use Blockchain to Secure Internet of Things and the Stalker Attack

Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region

Contact Info

Product

Resources

About