Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: MISP: The Design and Implementation of a Collaborative Threat Intelligence Sharing Platform
From Cyber Security Information Sharing to Threat Management
Insider Threat Detection in PRODIGAL
Cybersecurity Information Sharing Governance Structures: An Ecosystem of Diversity, Trust, and Tradeoffs
Experiences Threat Modeling at Microsoft
Management and Education of the Risk of Insider Threat ( MERIT ) : System Dynamics Modeling of Computer System Sabotage
Detecting and Preventing Cyber Insider Threats: A Survey
A problem shared is a problem halved: A survey on the dimensions of collective cyber defense through security information sharing
Applying the Kill Chain and Diamond Models to Microsoft Advanced Threat Analytics
Detecting Insider Threats Using RADISH: A System for Real-Time Anomaly Detection in Heterogeneous Data Streams
Adaptive real-time threat assessment under uncertainty and conflict
Darknet and deepnet mining for proactive cybersecurity threat intelligence
Artificial Intelligence in Cyber Threats Intelligence
Automated Insider Threat Detection System Using User and Role-Based Profile Assessment
Mining Actionable Information from Security Forums: The Case of Malicious IP Addresses
Alert correlation in collaborative intelligent intrusion detection systems-A survey
An Efficient and Trustworthy Resource Sharing Platform for Collaborative Cloud Computing
Insight into Insiders: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures
Security threat Modeling and Analysis: A goal-oriented approach
Knowledge Management in the Intelligence Enterprise
Insider threat detection model for the cloud
Taxonomy Model for Cyber Threat Intelligence Information Exchange Technologies
Embedded system design for real-time interaction with Smart Wheelchair
What a tangled web we weave: lying backfires in location-sharing social media
IEC 61850 as a flexible tool for electrical systems monitoring
End-to-End Learning of Geometry and Context for Deep Stereo Regression