Beyond the Blacklists: Detecting Malicious URL Through Machine Learning

preview_player
Показать описание
Many types of modern malware utilize HTTP-based communications. Network-level behavioral signature/modeling in malware detection has some advantages, compared with traditional AV signature, or system-level behavioral models. Here we present a novel malware detection method based on URL behavioral modeling. The method has taken advantage of common practices of code re-use among many types of malware.

by Hao Dong and Jin Shang

Full Abstract & Presentation Materials:
  1. Black Hat
  2. Black Hat
  3. Black Hat Asia
  4. BHASIA
  5. Information Security
  6. BlackHat
Рекомендации по теме
Beyond the Blacklists: 0:50:46

Beyond the Blacklists: Detecting Malicious URL Through Machine Learning

Beyond the Blacklists 0:50:47

Beyond the Blacklists Detecting Malicious URL Through Machine Learning

Machine Learning and 0:21:26

Machine Learning and Cyber Security - Detecting malicious URLs in the haystack

Identifying Suspicious URLs: 0:46:17

Identifying Suspicious URLs: An Application of Large-Scale Online Learning

Malicious URL Detection 0:45:10

Malicious URL Detection Using Machine Learning in Python | NLP

most dangerous Virus 0:00:29

most dangerous Virus in Windows 10

How To Detect 0:08:27

How To Detect Malicious Content With Machine Learning

DeepPhish: Simulating Malicious 0:50:54

DeepPhish: Simulating Malicious AI

He got virus 0:00:33

He got virus on his phone 😱Fix it with a simple trick ✨#shorts #android #samsung #apple #iphone #fy...

#1 Ethical Hacker 0:05:09

#1 Ethical Hacker in The World Explains The Dark Web

Analyzing a Malicious 0:03:36

Analyzing a Malicious URL Using Interactive Analysis in VMRay Analyzer

NEVER buy from 0:00:46

NEVER buy from the Dark Web.. #shorts

BSides DC 2016 0:46:48

BSides DC 2016 - Detecting Malicious websites using Machine Learning

Bot vs. Bot 0:24:30

Bot vs. Bot for Evading Machine Learning Malware Detection

PEIMA: Harnessing Power 0:24:30

PEIMA: Harnessing Power Laws to Detect Malicious Activities

Demystifying Modern Windows 0:31:23

Demystifying Modern Windows Rootkits

PowerShell Script Malware 0:14:24

PowerShell Script Malware Detection

110 Detecting malicious 0:58:36

110 Detecting malicious links with Tim Leland

Deep Neural Networks 0:43:40

Deep Neural Networks for Hackers: Methods, Applications, and Open Source Tools

50 Thousand Needles 0:49:06

50 Thousand Needles in 5 Million Haystacks: Understanding Old Malware Tricks

Paint it Black: 0:31:37

Paint it Black: Evaluating the Effectiveness of Malware Blacklists

Understanding Linux Malware 0:19:27

Understanding Linux Malware

[Flash talk] MUDPIPE 0:05:26

[Flash talk] MUDPIPE - Malicious URL Detection for Phishing Identification and Prevention

Graduate Research 23: 0:05:03

Graduate Research 23: Machine Learning Techniques for Malware Network Traffic Detection