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).

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Can Machine Learning be utilized to identify and track IP Spoofing?

"IP Spoofing" refers to changing source IP addresses so that the attack appears to be coming from someone else. When the victim replies to the address, it goes back to the spoofed address ...
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0answers
37 views

Publicly Available PCAP dumps that associate IP addresses with Operating System? [closed]

I am currently working on a machine learning module to detect Operating Systems based on existing packet traffic in pcap file format. So far, I have generated some traffic of popular Operating Systems ...
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Anonymous (privacy-preserving) random walk

Quoting this paper - SmartWalk (https://dl.acm.org/doi/pdf/10.1145/2976749.2978319): For graph privacy, strong link privacy relies on deep perturbation to the original graph, indicating a large ...
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How Do Online Identiy Verification Companies Ensures Their APIs to Be Not Abused?

I am trying to implement a photo ID verification along with a live-selfie verification on my Android/iOS apps. I figured that I might be able to implement these features using Python machine learning ...
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2answers
57 views

What is the current state of author recognition software and what can be done about it?

I'm curious what the current state of author recognition software is, i.e. software that detects the author of a certain anonymous text based on a certain pool of texts obtained from elsewhere. This ...
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3answers
566 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 ...
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2answers
160 views

What is the term for adding benign code/behavior to malware to evade antiviruses?

Some malware authors add benign code/behavior to their malware just to throw off antiviruses and IDSs which employ machine learning to detect malware. There is a name for this technique (and even a ...
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0answers
96 views

FYP ideas in Applications of Machine Learning in Cyber Security domain [closed]

I am a Computer Science Engineering undergraduate aspiring to pursue a career in the field of cyber security. I have some experience in web application security, memory and network forensics fields. I ...
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1answer
98 views

Is it possible to exploit computer vision to achieve remote code execution?

What kind of vulnerability in the implementation of a vision-based machine learning system (object recognition, for example) would enable an attacker to achieve remote code execution? The only ...
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6answers
20k 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, ...
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4answers
94 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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2answers
131 views

ML approach to malicious attachments using email contents

Based on my understanding of the field, it seems like there is a lot of attention paid to spam filtering based on the contents and metadata of an email, and there is considerable attention paid to ...
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1answer
64 views

How we can PoC our product that needs training data for our machine learning algorithm of the the bank clients?

Recently, we have had a challenge with potential future clients which are the bank. Our product requires to gather static data (e.g. address, loans, last 50 transactions, etc) of banks clients. These ...
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1answer
192 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 ...
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1answer
130 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 ...
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0answers
51 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 ...
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1answer
170 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? ...
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1answer
212 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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1answer
2k 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 ...
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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
770 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
145 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?