Towards a deep learning-driven intrusion detection approach for Internet of Things

Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-IoT dataset

(2019) Nickolaos Koroniotis et al.   Future Generation Computer Systems-The International Journal of eScience

Deep Radial Intelligence with Cumulative Incarnation approach for detecting Denial of Service attacks

(2019) Bhuvaneswari Amma N.G. et al.   NEUROCOMPUTING

Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things

(2019) Geethapriya Thamilarasu et al.   SENSORS

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

(2019) Veit Sandfort et al.   Scientific Reports

Averaged dependence estimators for DoS attack detection in IoT networks

(2019) Zubair A. Baig et al.   Future Generation Computer Systems-The International Journal of eScience

Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

(2018) Abebe Abeshu et al.   IEEE COMMUNICATIONS MAGAZINE

Security, privacy and trust in Internet of Things: The road ahead

(2015) S. Sicari et al.   Computer Networks

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

On the features and challenges of security and privacy in distributed internet of things

(2013) Rodrigo Roman et al.   Computer Networks

Internet of Things (IoT): A vision, architectural elements, and future directions

(2013) Jayavardhana Gubbi et al.   Future Generation Computer Systems-The International Journal of eScience

Distributed denial of service attack detection using an ensemble of neural classifier

(2011) P. Arun Raj Kumar et al.   COMPUTER COMMUNICATIONS