In this paper, DNNs have been utilized to predict the attacks on Network Intrusion Detection System (N-IDS).
Ranked #1 on Network Intrusion Detection on KDD
Timely analysis of cyber-security information necessitates automated information extraction from unstructured text.
Defenders are overwhelmed by the number and scale of attacks against their networks. This problem will only be exacerbated as attackers leverage artificial intelligence to automate their workflows.
In this paper we explore cyber security defence, through the unification of a novel cyber security simulator with models for (causal) decision-making through optimisation.
Built upon DDS as its default communication middleware and used in safety-critical scenarios, adding security to robots and ROS computational graphs is increasingly becoming a concern.
Cryptography and Security Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Robotics Software Engineering
Systems modeling practice lacks security analysis tools that can interface with modeling languages to facilitate security by design.
Cryptography and Security Systems and Control Systems and Control
To construct such a model we produce a taxonomy of attributes; that is, a generalized schema for system attributes.
Cryptography and Security Systems and Control Systems and Control
Today, there is a plethora of software security tools employing visualizations that enable the creation of useful and effective interactive security analyst dashboards.
Human-Computer Interaction Cryptography and Security
In order to assist security analysts in obtaining information pertaining to their network, such as novel vulnerabilities, exploits, or patches, information retrieval methods tailored to the security domain are needed.
Cyber-physical systems (CPSs) in critical infrastructure face a pervasive threat from attackers, motivating research into a variety of countermeasures for securing them.