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Solomon Sonya Malware continues to increase in prevalence and sophistication. VirusTotal reported a daily submission of 2M+ ...

Defeating Machine Learning: Systemic Deficiencies for Detecting Malware - Wes Connell, Ryan Peters Ground Truth BSidesLV ...

Recorded at AppSecUSA 2014 in Denver http://2014.appsecusa.org/ Friday, September 19 • 2:00pm - 2:45pm Catch me if you ...

Decided to do something somewhat different and play around with machine learning using KNIME and focusing on how one goes ...

A webinar on “Application of Deep Learning in Malware Detection and Classification” by Samaneh Mahdavifar, a Ph.D. student at ...

Authors: Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen.

Cyentia Institute and Kenna Security teamed up to analyze several years of vulnerability data using machine learning to create a ...

Much of next-gen AV relies on machine learning to generalize to never-before-seen malware. Less well appreciated, however, ...

Keywords ### #Malwaredetection #machinelearningalgorithms #stateoftheart #RTCLTV #shorts ### Article Attribution ### Title: ...

Title: FeatureSmith: Automatically Engineering Features for Malware Detection by Mining the Security Literature Authors: Ziyun ...

Managed by the OWASP® Foundation https://owasp.org/

Domain generation algorithm (DGA) malware makes callouts to unique web addresses to avoid detection by static rules engines.

Stapellauf data appliance ist kein top level domains mit eigenen apps wie filter bis machine learning. Warum dies in level ...

Malware continues to increase in prevalence and sophistication. VirusTotal reported a daily submission of 2M+ malware samples.

As Defenders it is easy to view attacker behavior through a Technique lens, but this perspective often causes us to forget about ...

Quantum computation has recently become an important area for security research, with its applications to factoring large ...

Many tasks in computer security revolve around the manual analysis of data, such as the inspection of log files or network traffic.

Machine Learning for network HTTPS analysis With the increasing amount of malware HTTPS traffic, it is a challenge to discover ...

BSides Belfast 2016.

What can machine learning do for security? A number of things. One major challenge is determining what's normal and what's ...