Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services
Authors: Ahmed Omara, Burak Kantarci | Published: 2022-08-09
機械学習手法
Online Malware Classification with System-Wide System Calls in Cloud IaaS
Authors: Phillip Brown, Austin Brown, Maanak Gupta, Mahmoud Abdelsalam | Published: 2022-08-09
Robust Machine Learning for Malware Detection over Time
Authors: Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio | Published: 2022-08-09
LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles
Authors: Li Yang, Abdallah Shami, Gary Stevens, Stephen De Rusett | Published: 2022-08-05 | Updated: 2022-09-01
Lethal Dose Conjecture on Data Poisoning
Authors: Wenxiao Wang, Alexander Levine, Soheil Feizi | Published: 2022-08-05 | Updated: 2022-10-18
On False Data Injection Attack against Building Automation Systems
Authors: Michael Cash, Christopher Morales-Gonzalez, Shan Wang, Xipeng Jin, Alex Parlato, Jason Zhu, Qun Zhou Sun, Xinwen Fu | Published: 2022-08-04 | Updated: 2022-09-25
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption
Authors: Syed Imtiaz Ahamed, Vadlamani Ravi | Published: 2022-08-04
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Authors: Steven Jorgensen, John Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah DeMoes, Andrés Alejos, Allan Wollaber | Published: 2022-05-11 | Updated: 2023-10-06
A Hybrid Approach: Utilising Kmeans Clustering and Naive Bayes for IoT Anomaly Detection
Authors: Lincoln Best, Ernest Foo, Hui Tian | Published: 2022-05-09
Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication
Authors: Sara Kokal, Laura Pryor, Rushit Dave | Published: 2022-04-19