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The existence of the Internet, networking, and cloud computing support a wide range of new technologies. Blockchain is one of these technologies; this increases the interest of researchers who are concerned with providing a safe environment for the circulation of important information via the Internet. Maintaining solidity and integrity of a blockchain’s transactions is an important issue, which must always be borne in mind. Transactions in blockchain are based on use of public and private keys asymmetric cryptography. This work proposes usage of users’ DNA as a supporting technology for storing and recovering their keys in case those keys are lost — as an effective bio-cryptographic recovery method. The RSA private key is responsible for maintaining the authenticity of the blocks’ wallets throughout any transaction related to any block of the blockchain. This framework can be used for a wide range of applications such as student registration systems at universities: in order to prevent the forging of student graduation certificates. The experimental results demonstrated robustness of the proposed solution, using a number of key sizes. The effectiveness of our approach is compared to that of elliptic curve cryptography keys. Our approach shows that the security and authentication needed for blockchain technology can be accomplished using DNA combined with an RSA private key. On the other hand, the standard EC cryptography shows poor performance against our suggested method as demonstrated in the discussion section.

The aim of this work is to demonstrate how a complex network can be deployed to solve a distributed resource allocations and execution problems. It is highly demanded to provide useful algorithms and methodologies to facilitate the usage of networks. Software engineering techniques can be one of the tools to achieve an accepted solution. In this work, we companied more than one discipline, artificial intelligent entities (agents) with heuristic solutions to achieve such requirements. The organization of agents, in this paper, demonstrates an improvement in the quality of services delivered from a network of agents to solve task allocation and execution issues.

This paper discusses how the performance of a network of agents can be improved using a self-organisation technique. The multi-agent network performance can be improved by organizing the agents in clusters. Furthermore, principles of self-organisation can be used to create agent organisations triggered when some of the agents have high load. Hence, busy agents within the network may decide to create an organisation to receive extra support from other less busy agents in order to execute more tasks. The paper presents a simulation based on Repast Simphony that has been used to develop the proposed model and describes a set of experiments showing the performance of the system with and without the self-organisation technique.