A Survey of Network-based Intrusion Detection Data Sets

TL;DR: This survey examines the challenges and datasets for modern Intrusion Detection Systems (IDS) amidst rising cyberattacks, highlighting the need for effective network traffic analysis to identify suspicious activities and prevent data breaches.

TL;DR: Smart environments offer significant improvements in urban surroundings and human quality of life, but raise concerns about security and privacy. The article explores the main applications of smart cities, discusses privacy and security issues, and analyzes potential attacks on IoT networks. Intrusion detection and the impact of communication technologies on security and privacy are also covered.

TL;DR: This work hypothesise that cooperation between different network operators can improve the detection of botnet traffic, as a larger amount of traffic can be examined, and presents a privacy-preserving architecture for collaborative botnet detection.

TL;DR: The evaluation of classification algorithms on the UNSW-NB15 dataset for network intrusion detection reveals that complex models like Neural Networks and SVMs outperform simpler models. The Neural Network model achieved the highest accuracy of 92%, while simpler models like Logistic Regression and k-NN achieved accuracies of 88% and 85%, respectively.

TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.

TL;DR: This whitepaper proposes OpenFlow: a way for researchers to run experimental protocols in the networks they use every day, based on an Ethernet switch, with an internal flow-table, and a standardized interface to add and remove flow entries.

TL;DR: A critical review of the nature of the problem, the state-of-the-art technologies, and the current assessment metrics used to evaluate learning performance under the imbalanced learning scenario is provided.

TL;DR: A new data set is proposed, NSL-KDD, which consists of selected records of the complete KDD data set and does not suffer from any of mentioned shortcomings.