[PDF][PDF] An Automated Intrusion Detection and Prevention Model for Enhanced Network Security and Threat Assessment
K Prabu, P Sudhakar - Int. J. Comput. Netw. Appl, 2023 - mail.ijcna.org
Amid the soaring cyber threats and security breaches, we introduce an automated intrusion
detection and prevention model to bolster threat assessment and security data solutions …
detection and prevention model to bolster threat assessment and security data solutions …
Consolidating Packet-Level Features for Effective Network Intrusion Detection: A Novel Session-Level Approach
Network Intrusion Detection Systems (NIDSs) are crucial tools for ensuring cyber security.
Recently, machine learning-based NIDSs have gained popularity due to their ability to adapt …
Recently, machine learning-based NIDSs have gained popularity due to their ability to adapt …
Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware
K Nakao, K Yoshioka, T Sasaki, R Tanabe… - … on Information and …, 2023 - search.ieice.org
In this paper, we developed the latest IoT honeypots to capture IoT malware currently on the
loose, analyzed IoT malware with new features such as persistent infection, developed …
loose, analyzed IoT malware with new features such as persistent infection, developed …
Packet-Level Intrusion Detection Using LSTM Focusing on Personal Information and Payloads
S Kawanaka, Y Kashiwabara… - 2023 18th Asia Joint …, 2023 - ieeexplore.ieee.org
In recent years, network-based intrusion detection systems (NIDS) based on advanced
neural network (NN) technologies have emerged. In the previous study (Hwang et al. 2019) …
neural network (NN) technologies have emerged. In the previous study (Hwang et al. 2019) …
Raw Packet Data Ingestion with Transformers for Malicious Activity Classifications
N Sharan, T Quig, E Goodman, YR Choe… - 2023 International …, 2023 - ieeexplore.ieee.org
Traffic diversity, novel attacks, and sheer volume of network traffic creates a significant
challenge in detecting and identifying malicious actions against a network. Due to these …
challenge in detecting and identifying malicious actions against a network. Due to these …