fingerprinting

问题 I am developing a dashboard, which receives all Alertmanager readings and processes them. I looked for a unique field in the request payload to create a unique external alert id in my database. The request payload looks something like this: { "status": "firing", "labels": { "alertname": "", "app": "", "cluster": "", "deployed_location": "", "instance": "", "job": "", "kubernetes_namespace": "", "kubernetes_pod_name": "", "pod_template_hash": "", "release": "", "replica": "", "severity": "" },

问题 By doing tests I am faced with JavaScript fingerprinting such like: audio context fingerprinting opengl fingerprinting canvas fingerprinting installed fonts fingerprinting installed plugins fingerprinting webrtc I want to replace the results of the fingerprinting with simulated results. How do fingerprints work and how can I simulate/fake the fingerprinting results? 回答1: To change the outcome of these fingerprints, you have to understand how they work. Let's look at an example: The Canvas

问题 I've been busy with understanding the MusicBrainz database in the past few hours and as I noticed there's no command line application to tag or fingerprint audio files. Are there any CLI implementations on Musicbrainz's fingerprinting? And how can I create those fingerprints? I found some development tools on their website (python-musicbrainz2, libdiscid and the XML webs service) but I couldn't find a simple tool or app which creates those fingerprints (the developments tools only seem to be

问题 I've been busy with understanding the MusicBrainz database in the past few hours and as I noticed there's no command line application to tag or fingerprint audio files. Are there any CLI implementations on Musicbrainz's fingerprinting? And how can I create those fingerprints? I found some development tools on their website (python-musicbrainz2, libdiscid and the XML webs service) but I couldn't find a simple tool or app which creates those fingerprints (the developments tools only seem to be

问题 I'm looking for ways to find image duplicates by fingerprinting. I understand that this is done by applying hash functions on images, and each image would have a unique hash value. I am fairly new to image processing and don't know much about hashing. How exactly am I supposed to apply hash functions and generate hash values? Thanks in advance 回答1: You need to be careful with hashing, some image formats, such as JPEG and PNG, store dates/times and other information within images and that will

问题 I have generated my SHA1 code from my keystore but when I try to create an OAuth client 2.0, Google game console is giving me the error: "Certificate fingerprint is invalid". Anyone knows why this happens? How do I fix this? 回答1: I've contacted Google Play Developer Support about this issue (I've got a same problem). Here is their answer : Please ensure the key is set to 2048 bit and is valid for at least 25 years. I've tried it, but sadly my debug.keystore is still not getting accepted,

问题 Background When experimenting with machine learning, I often reuse models trained previously, by means of pickling/unpickling. However, when working on the feature-extraction part, it's a challenge not to confuse different models. Therefore, I want to add a check that ensures that the model was trained using exactly the same feature-extraction procedure as the test data. Problem My idea was the following: Along with the model, I'd include in the pickle dump a hash value which fingerprints the

问题 How to identify different types of MIFARE Ultralight tags? In document AN10834 Ultralight and Ultralight C differ by the answer from "Auth". What is this "Auth"? There is no description of this function in the datasheets to the chips. I noticed that Ultralight C and EV1 support GET_VERSION (60h), I sent this request to EV1 card, it does not return anything to me. 回答1: In order to distinguish MIFARE Ultralight, Ultralight C, Ultralight EV1, and NTAG tags, you would first send a GET_VERSION

问题 I am going to have code running on a site in an iframe which may or may not be cross-domain, and may be duplicated in multiple iframes. I may have code running in the top window, I may not. I want my JS to generate a unique identifier which will be the same if it is generated by my code in any iframe on that page, in multiple iframes, iframes nested in iframes, or in the top window, for the life of that load of the main page only. It should generate the same identifier when run in any window

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 3 years ago . Are there any datasets of digitized data from fingerprints (not-images)? Basically, we're planning an application that works on fingerprint data and wondering if the output by fingerprint readers are standardized and if so, are there some reference sets / data sheets we can look at 回答1: Here's the United States