Tracing the Source of Fake News using a Scalable Blockchain Distributed Network

Abstract

In the news industry, as well as in social media, fake news detection and identification of news sources has become a central topic of discussion. In the era of digitization, anyone can easily generate or manipulate digital content and publish them on social media websites. On the one hand, these social networking platforms provide ample ease in modern-day communication but on the other hand, using such platforms has posed new challenges to real-world implementation like viral spreading of false/fake information with malicious intentions. In this paper, a naive blockchain and watermarking based social media framework is proposed to control the fake news propagation. We postulate a new blockchain model to mitigate existing challenges in this field. Moreover, the novel solution can help in reducing the spread of fake news by tracing the root or origin of the fake news on social media. Through our experimental results, we show that our blockchain-based solution is able to immediately stream data through a bloXroute server that can propagate data up to 100 times faster than conventional solutions.

An Attribute-Based Access Control Model for Internet of Things Using Hyperledger Fabric Blockchain

“…Blockchain can be used to overcome the viral spread of false/fake information with malicious intent. In IoT, storing IoT data on the blockchain adds another layer of security to help prevent malicious attacks [25,26]. Anyone who attempts to overwrite existing data records is prevented by blockchain encryption.…”

The Application of Blockchain in Social Media: A Systematic Literature Review

“…Proposed Model [46] Blockchain and keyed watermarking-based framework [47] Architecture of blockchain-based fictitious detection system [48] Architecture to store validation records in the blockchain [49] Rating system to detect the authenticity of news [50] A secure and privacy-preserving method [51] A framework for safely sharing information at the peer level [52] Machine Learning-based model using Blockchain [56] AI with a Proof-of-Stake smart contract algorithm architecture [57] Blockchain with Text Mining (TM) algorithm [58] Social media news-spreading model [61] A blockchain and watermarking-based social media framework [63] TRUSTD, a blockchain and collective signature-based ecosystem [64] A smart contract-based technique to avert fake posts [66] WhistleBlower, a decentralized fake news detection platform [67] Proof of Trustworthiness (PoT) [69] Avoiding false check-ins in Location-Based Social Networks [72] Method using the concept of decentralization [73] A blockchain-based social media notarization method [74] A blockchain consensus called Proof of Credibility (PoC) [75] A public opinion communication model [77] Architecture using data mining as a consensus algorithm [78] A prototype to counter the dissemination of fake news [79] Proof of Truthfulness (PoT) for news verification [85] Provenator, a blockchain-based distributed application…”

“…The system can find the origins of information diffusion nodes with the help of the blockchain. Dwivedi et al [61] introduced a blockchain-based social networking structure by applying a BDN (Blockchain Distributed Network). They deployed this BDN through bloXroute servers to obtain a scalable system.…”

Distributed Blockchain-Based Platform for Unmanned Aerial Vehicles

“…The unchangeable and distributed ledger of the blockchain has drawn the interest of many academics [ 31 ]. However, the blockchain business has faced several difficulties as a result of the widespread use of IoT devices [ 32 ].…”