Nitzan Niv

MULTI-BASELINE UNSUPERVISED SECURITY-INCIDENT AND NETWORK BEHAVIORAL ANOMALY DETECTION IN CLOUD-BASED COMPUTE ENVIRONMENTS

CYBERATTACK DETECTION USING PROBABILISTIC GRAPHICAL MODELS

Cyberattack detection using probabilistic graphical models

Multi-baseline unsupervised security-incident and network behavioral anomaly detection in cloud-based compute environments

Cyberattack detection using probabilistic graphical models

Unsupervised detection of security incidents in a cloud environment

Multi-baseline unsupervised security-incident and network behavioral anomaly detection in cloud-based compute environments

Multi-baseline unsupervised security-incident and network behavioral anomaly detection in cloud-based compute environments

Privacy-preserving learning of web traffic

TECHNIQUES FOR TARGETED BOTNET PROTECTION

Multi-baseline unsupervised security-incident and network behavioral anomaly detection in cloud-based compute environments

Automatic generation of attribute values for rules of a web application layer attack detector

TECHNIQUES FOR TARGETED BOTNET PROTECTION USING COLLECTIVE BOTNET ANALYSIS

Techniques for targeted botnet protection

Techniques for botnet detection and member identification

Automatic generation of attribute values for rules of a web application layer attack detector

Automatic generation of different attribute values for detecting a same type of web application layer attack

Community-based defense through automatic generation of attribute values for rules of web application layer attack detectors

Iterative automatic generation of attribute values for rules of a web application layer attack detector

Automatic generation of attribute values for rules of a web application layer attack detector