By having multiple mined blocks at the same height each referencing each other’s past, the protocol decreases the duration of time where an attacker could get "lucky" against an honest network. Think of an attacker needing to flip 6 coins and get all heads (mine 6 blocks) vs needing to flip 12 coins and get all heads (mine 6 blocks from two related chains). This same intuition applies to Kadena’s multi-chain configuration. Braiding chains together was first proposed for security purposes.
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kindly go to our own page. it may face the problems of over-configuration or insufficient configuration (Shahidinejad, Ghobaei-Arani, & Esmaeili, 2020 ). Shahidinejad, btc Ghobaei-Arani, and Masdari ( 2020 ) used workload analysis to solve the resource provisioning issue in cloud computing. Centralised cloud computing technology has attracted large numbers of users. The scheme realises fine-grained access control and dramatically reduces the communication overhead. ( 2021 ) used edge computing to improve the efficiency of medical data collection. In a cloud storage system, we should not only pay attention to data security but also to the efficiency and crypto resource allocation of the system. In order to improve the service quality of cloud computing, we should not only optimise its resource provisioning but also use edge computing to improve the efficiency of the system. Moreover, when the IoT, edge computing, and blockchain are combined, rules for storing data on the blockchain (Shaikh et al., 2021 ) and the authentication of IoT devices (Shahidinejad et al., 2021 ) are critical. However, the scheme does not consider the security threats of edge nodes, and the data labels are stored in the blockchain, which may affect the system's efficiency. ( 2020 ) designed an edge-IoT encrypted data deduplication scheme that supports dynamic ownership management and privacy protection. ( 2022 ) stored file labels on a blockchain to realise the cross-domain data deduplication of edge nodes.
In the conventional sense, Bitcoin transactions are incredibly secure. Thanks to complex cryptography at every step in the process, which can take quite a lot of time to verify (see below), it’s more or less impossible to fake a transaction from one person or organization to another. Since Bitcoin isn’t regulated or secured in the same way your bank account or credit account is, that money is simply gone. If that information is found, via hacking or social engineering, a digital Bitcoin stash can dispensary without any way to trace the thief. However, it is possible to "steal" bitcoins by discovering someone’s digital wallet and the password that they use to access it.
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In short, Kadena is a blockchain that is faster, more secure, and more scalable. Kadena’s public blockchain platform, originally conceived by Kadena founder Will Martino, is a braided, parallelized proof-of-work consensus mechanism that improves throughput and scalability while maintaining the security and integrity found in Bitcoin.
While the number of people using and "mining" Bitcoin
was low, each user doing the mining would randomly confirm the next block at a higher pace, generating new Bitcoins for his or her account quickly. A few years ago when the Bitcoin system was new, individual users "mined" for new Bitcoins at a rapid pace. Bitcoin
mining software used local processors, and even extra processors like a computer’s graphics card, to calculate hashes for the next block in the blockchain.
By fixing the DAG structure, Kadena limits the worst-case (e.g. All blockchains are technically DAGs. Unlike Bitcoin or Ethereum, Kadena’s DAG structure is fixed and multi-channel. real-world) performance. Arbitrary DAGs have known performance problems under adoption — they initially have many more execution channels, because transactions are largely unrelated, but as adoption picks up and killer apps appear on the platform the overall performance decreases because transactions become increasingly related. Kadena, like Bitcoin or Ethereum, is not an arbitrary DAG, as compared to a structure like that of Hashgraph, for example.
In Section 2, we focus on a survey of related work. The rest of this paper is organised as follows. In Section 6, we analyse the security of the proposed scheme and offer performance evaluations. In Section 4, we describe the system model, threat model, and security goals. In Section 5, we present a secure and efficient data deduplication framework for the IoT based on edge computing and blockchain technologies. In Section 7, we conclude the paper. In Section 3, we introduce the preliminary knowledge.
Personal Equipment (PE) : An IoT device for btc individual users that does not belong to a large organisation. To store data in the CSP, a PE directly interacts with it and needs to cooperate with it for data deduplication.