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Abstract
Exchange of data in networks necessitates provision of security and confidentiality. Most networks compromised by intruders are those where the exchange of data is at high risk. The main objective of this paper is to present a solution for secure exchange of attack signatures between the nodes of a distributed network. Malicious activities are monitored and detected by the Intrusion Detection System (IDS) that operates with nodes connected to a distributed network. The IDS operates in two phases, where the first phase consists of detection of anomaly attacks using an ensemble of classifiers such as Random forest, Convolutional neural network, and XGBoost along with genetic algorithm to improve the performance of IDS. The novel attacks detected in this phase are converted into signatures and exchanged further through the network using the blockchain framework in the second phase. This phase uses the cryptosystem as part of the blockchain to store data and secure it at a higher level. The blockchain is implemented using the Hyperledger Fabric v1.0 and v2.0, to create a prototype for secure signature transfer. It exchanges signatures in a much more secured manner using the blockchain architecture when implemented with version 2.0 of Hyperledger Fabric. The performance of the proposed blockchain system is evaluated on UNSW NB15 dataset. Blockchain performance has been evaluated in terms of execution time, average latency, throughput and transaction processing time. Experimental evidence of the proposed IDS system demonstrates improved performance with accuracy, detection rate and false alarm rate (FAR) as key parameters used. Accuracy and detection rate increase by 2% and 3% respectively whereas FAR reduces by 1.7%.
Highlights
In current times, data exchange and sharing over the Internet is widespread and data security is a major concern
The Intrusion Detection System (IDS) operates in two phases, where the first phase consists of detection of anomaly attacks using an ensemble of classifiers such as Random forest, Convolutional neural network, and XGBoost along with genetic algorithm to improve the performance of IDS
5 Conclusion and Future Works A novel IDS system is presented in this paper as IDS with Blockchain (IDSwBC), which is one of the first Intrusion Detection
Summary
Data exchange and sharing over the Internet is widespread and data security is a major concern. Most private and confidential data being exchanged requires a robust digital infrastructure to protect against attacks by intruders in the network. A secured intrusion detection system (IDS) is useful in. CSSE, 2022, vol., no.1 safeguarding the network from an attack. Individuals, and businesses use IDS for network security. The IDS is a device or software that helps to monitor the network for abnormal activities. If any malicious activity is detected, an alarm is generated for the administrator. IDS identify malicious activities in two different ways: Signature based (SIDS) and Anomaly based detection (AIDS)
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