Privacy Preserving Public Auditing for Cloud Storage Using Elliptic Curve Digital Signature

Internet of things (IOT) possess cultural, commercial and social effect in life in the future. The nodes which are participating in IOT network are basically attracted by the cyber-attack targets. Attack and identification of anomalies in IoT infrastructure is a growing problem in the IoT domain. Machine Learning Based Ensemble Intrusion Detection (MLEID) method is applied in order to resolve the drawback by minimizing malicious actions in related botnet attacks on Message Queue Telemetry Transport (MQTT) and Hyper-Text Transfer Protocol (HTTP) protocols. The proposed work has two significant contributions which are a selection of features and detection of attacks. New features are chosen from Improved Ant Colony Optimization (IACO) in the feature selection, and then the detection of attacks is carried out based on a combination of their possible properties. The IACO approach is focused on defining the attacker's important features against HTTP and MQTT. In the IACO algorithm, the constant factor is calculated against HTTP and MQTT based on the mean function for each element. Attack detection, the performance of several machine learning models are Distance Decision Tree (DDT), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Mahalanobis Distance Support Vector Machine (MDSVM) were compared with predicting accurate attacks on the IoT network. The outcomes of these classifiers are combined into the ensemble model. The proposed MLEID strategy has effectively established malicious incidents. The UNSW-NB15 dataset is used to test the MLEID technique using data from simulated IoT sensors. Besides, the proposed MLEID technique has a greater detection rate and an inferior rate of false-positive compared to other conventional techniques.

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“…The Bro-IDS tool [8] is used to capture core flows and basic protocol information. Bro comes from the Orwellian origins of "Big Brother."…”

Section: Introductionmentioning

confidence: 99%

Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model

Vanitha¹,

Balasubramanie²

2023

Intelligent Automation &Amp; Soft Computing

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Privacy Preserving Public Auditing for Cloud Storage Using Elliptic Curve Digital Signature

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Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model

Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model

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