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Found 13 papers, 0 papers with code
Audio Interval Retrieval using Convolutional Neural Networks
Two tests are conducted to evaluate the performance of the models on two separate problems: audio classification and intervals retrieval based on a natural language query.
A proactive malicious software identification approach for digital forensic examiners
Digital investigators often get involved with cases, which seemingly point the responsibility to the person to which the computer belongs, but after a thorough examination malware is proven to be the cause, causing loss of precious time.
A Novel Online Incremental Learning Intrusion Prevention System
Attack vectors are continuously evolving in order to evade Intrusion Detection systems.
BotSpot: Deep Learning Classification of Bot Accounts within Twitter
In this paper, we introduce a novel bot detection approach using deep learning, with the Multi-layer Perceptron Neural Networks and nine features of a bot account.
Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation
Internet of Things devices have seen a rapid growth and popularity in recent years with many more ordinary devices gaining network capability and becoming part of the ever growing IoT network.
Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks
Insider attacks are one of the most challenging cybersecurity issues for companies, businesses and critical infrastructures.
Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT
Raw traffic is also passed on to the machine learning classifier for examination and identification of potential attacks.
Detection of Insider Threats using Artificial Intelligence and Visualisation
Insider threats are one of the most damaging risk factors for the IT systems and infrastructure of a company or an organization; identification of insider threats has prompted the interest of the world academic research community, with several solutions having been proposed to alleviate their potential impact.
CHAINGE: A Blockchain Solution to Automate Payment Detail Updates to Subscription Services
The rise of the subscription-based business model has led to a corresponding increase in the number of subscriptions where a customer needs to manage their payments.
IoT Malware Network Traffic Classification using Visual Representation and Deep Learning
The detection of malicious network traffic in the proposed approach works at the package level, significantly reducing the time of detection with promising results due to the deep learning technologies used.
Blockchain Solutions for Forensic Evidence Preservation in IoT Environments
The technological evolution brought by the Internet of things (IoT) comes with new forms of cyber-attacks exploiting the complexity and heterogeneity of IoT networks, as well as, the existence of many vulnerabilities in IoT devices.
Cryptography and Security
Detection of LDDoS Attacks Based on TCP Connection Parameters
Low-rate application layer distributed denial of service (LDDoS) attacks are both powerful and stealthy.
Agent-based Vs Agent-less Sandbox for Dynamic Behavioral Analysis
Malicious software is detected and classified by either static analysis or dynamic analysis.
