Inventor

ANDERSON BLAKE HARRELL

US86 patents

⚠️ This page may combine multiple inventors who share the name “ANDERSON BLAKE HARRELL”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

ANDERSON BLAKE HARRELL

CISCO TECH INC

Analyzing encrypted traffic behavior using contextual traffic data

Passive decryption on encrypted traffic to generate more accurate machine learning training data

Malware classification and attribution through server fingerprinting using server certificate data

Privacy enhancing man-in-the-middle

Automatic retraining of machine learning models to detect DDoS attacks

Identifying and using DNS contextual flows

Machine learning-based traffic classification using compressed network telemetry data

Using a machine learning classifier to assign a data retention priority for network forensics and retrospective detection

Endpoint-assisted inspection of encrypted network traffic

Online generation and updates of IoT mud policies

Network telemetry with byte distribution and cryptographic protocol data elements

Endpoint-assisted inspection of encrypted network traffic

Automatic retraining of machine learning models to detect DDoS attacks

Detecting domain fronting through correlated connections

Network telemetry collection with packet metadata filtering

Analyzing encrypted traffic behavior using contextual traffic data

Encrypted traffic analytics over a multi-path TCP connection

Detecting dataset poisoning attacks independent of a learning algorithm

Utilizing service tagging for encrypted flow classification

OS start event detection, OS fingerprinting, and device tracking using enhanced data features

Adapting classifier parameters for improved network traffic classification using distinct private training data sets

Automatic generation of cluster descriptions

Leveraging point inferences on HTTP transactions for HTTPS malware detection

Utilizing service tagging for encrypted flow classification

OS start event detection, OS fingerprinting, and device tracking using enhanced data features

Automatically generating a fingerprint prevalence database without ground truth

Leveraging endpoint and network environment inferences for malware traffic classification

Correlating endpoint and network views to identify evasive applications

On-box behavior-based traffic classification

Network telemetry with byte distribution and cryptographic protocol data elements

Passive decryption of encrypted traffic to generate more accurate machine learning training data

On-box behavior-based traffic classification

Unstructured data sensitivity inference for file movement tracking in a network

Detecting targeted data exfiltration in encrypted traffic

TLS fingerprinting for process identification

Triggering targeted scanning to detect rats and other malware

Semi-active probing framework to gather threat intelligence for encrypted traffic and learn about devices

Automatic retraining of machine learning models to detect DDoS attacks

Network telemetry collection with packet metadata filtering

Detecting domain fronting through correlated connections

Automatic retraining of machine learning models to detect DDoS attacks

Leveraging point inferences on HTTP transactions for HTTPS malware detection

Utilizing service tagging for encrypted flow classification

Leveraging synthetic traffic data samples for flow classifier training

Privacy enhancing man-in-the-middle

Automatic retraining of machine learning models to detect DDoS attacks

Machine learning-based traffic classification using compressed network telemetry data

Leveraging synthetic traffic data samples for flow classifier training

Malware classification and attribution through server fingerprinting using server certificate data

ANDERSON BLAKE HARRELL

Integrating multiple data sources for malware classification