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Questions tagged [machine-learning]

How to use machine learning for security (e.g. for filtering or analytics) as well as security of machine learning systems (e.g. attempts to "fool" them).

2
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1answer
83 views

What features would you use to detect a backdoor or a bot installation?

I was reading a document about logging and analysis. The document talks about statistical analysis and machine learning techniques to detect some attack scenarios. For instance, If you want to detect ...
2
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1answer
54 views

Can IP address considered as a useful feature for intrusion detection?

I am trying to build a machine learning model which classifies attacks. My data has a bunch of IP addresses, and I don't know if I should use the IP address as a feature to detect attacks. I found ...
2
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3answers
55 views

Web Application Firewall with based on an external decision to detect anomaly

I have a theoretical knowledge about WAF but I do not have knowledge of the tools in the market. I wonder if there are any WAFs that base their decision making through a response from an external ...
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0answers
45 views

Detecting network attacks by processing individual or multiple network packets?

I am trying to create a tool that identifies network attacks using machine learning, something like a small intrusion detection system. I have collected benign traffic from the network and then ...
0
votes
1answer
50 views

How likely is it to see a commercial IDS/IPS that uses machine learning in the near future that performs better than a normal IDS/IPS? [closed]

I have to choose a field to study on and I want to know does it worth studying in this field and will the future IDS/IPS systems be using machine-learning/deep-learning or at least how likely is it? ...
1
vote
3answers
166 views

Extracting features from PE files. Machine learning and malware

Are the features which can be extracted from a PE file (some information from headers, section names, strings, import, export sections etc) enough to use them to train particular machine learning ...
1
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1answer
173 views

The role of Machine Learning In Cybersecurity Defense [closed]

Hackers and malware are one step ahead of cybersecurity experts, and every time technology is released to the market, vulnerabilities will be quickly discovered and exploited. How effective can ...
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0answers
76 views

Machine Learning based application vulnerability scoring

This question is related to an earlier questions: 1 & 2 about the limitations in web application vulnerability scoring/automated vulnerability scoring. Indeed, scoring vulnerabilities detected in ...
8
votes
1answer
840 views

Can CAPTCHA-solving patterns be used to track/identify a person?

Captchas are everywhere. Suppose you're a big company offering Captchas on many sites and you can easily track a user across the web simply by setting a cookie everytime some site loads your captcha ...
0
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1answer
1k views

What are some interesting project ideas that use machine learning to solve issues in IOT security? [closed]

I am interesting in IOT security and machine learning/deep learning. I am looking for good project ideas to work on. example: http://projectabstracts.com/20138/a-malicious-pattern-detection-engine-...
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2answers
729 views

What do you call an antivirus that detects suspicious activity?

A traditional antivirus scans data at rest and data in transit for known virus signatures. (Where "virus" includes trojans, rootkits, et al.) This does not help when defending against zero-days and ...
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2answers
110 views

Are there any real instances of threats to machine learning systems?

I recently read a paper on The security of Machine Learning. Are there any instances of attacks against machine learning systems besides spam filters?
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6answers
14k views

Can a neural network crack hashing algorithms?

I've been reading a bit about neural networks, and their ability to approximate many complex functions. Wouldn't a neural network be capable of cracking a hashing algorithm like SHA256? For example, ...