TaLoS | Efficient TLS termination inside Intel SGX | TLS library

by lsds C Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | TaLoS Summary

TaLoS is a C library typically used in Security, TLS applications. TaLoS has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

TaLoS1 is a TLS library that allows existing applications (with an OpenSSL/LibreSSL interface) to securely terminate their TLS connection. For this, TaLoS places security-sensistive code and data of the TLS library inside an Intel SGX enclave, while the rest of the application remains outside. It can then be used as the building block for a wide range of security-critical applications for which the integrity and/or confidentiality of TLS connections must be guaranteed. TaLoS offers the developper a simple interface to process TLS communications securely. For example, this interface can be used to securely send the HTTPS requests and responses to another enclave or to encrypt them before logging them to persistent storage. TaLoS provides good performance by executing enclave transitions asynchronously and leveraging user-level threading inside the enclave. The code is accompanied with a technical report, containing details about the architecture and performance results. In contrast to the SSL add-on for the Intel SGX SDK, TaLoS exposes the OpenSSL/LibreSSL API to untrusted code outside of the enclave. This means that existing applications can use the TaLoS library with no or only minor modifications. The Intel SGX SDK SSL add-on does not expose an outside interface, which means that applications must be modified to use it.

Support

Quality

Security

License

Reuse

Support

TaLoS has a low active ecosystem.

It has 92 star(s) with 16 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 18 have been closed. On average issues are closed in 46 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TaLoS is current.

Quality

TaLoS has 0 bugs and 0 code smells.

Security

TaLoS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TaLoS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TaLoS is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

TaLoS releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 11 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of TaLoS

Get all kandi verified functions for this library.

TaLoS Key Features

No Key Features are available at this moment for TaLoS.

TaLoS Examples and Code Snippets

No Code Snippets are available at this moment for TaLoS.

Community Discussions

Trending Discussions on TaLoS

TensorFlow / Keras splitting training and validation data

Linux partition not showing full size

Keras EarlyStopping callback working inconsistently

Spring Boot + Java : Keyword Based Search from JSON data

How to run a container without a shell in GitLab CI job

tf.data.Dataset: The `batch_size` argument must not be specified for the given input type

Hyperpameter optimization of already trained model

QUESTION

TensorFlow / Keras splitting training and validation data

Asked 2022-Feb-28 at 10:47

I'm learning how to use TensorFlow and have been given a working model, built in the Keras structure. It runs but the results are a bit of mystery to me. I'm attempting to copy this and simplify it to its bare essence and then build it back up again. The part I can not understand at all is how/where it splits the training data input into training and validation sets? I've checked the model code, initial parameters, etc. Is there a built-in function in TensorFlow convolutional neural networks that does this automatically?

The call to Talos looks like this, the first two values are x-training and y-training values nowhere is x_val or y_val passed to the Talos function. Could Talos have an automatic way of producing x_val and y_val?

...

ANSWER

Answered 2022-Feb-28 at 10:21

It is not splitting the training data at all and you are explicitly passing validation data to model.fit via the parameter validation_data:

Source https://stackoverflow.com/questions/71292466

QUESTION

Linux partition not showing full size

Asked 2021-Dec-16 at 22:10

I have a Linux system where the disk space shows as only 29Gb, but when I look at the partition with the parted - print command it shows as a 64Gb partition. I'm not sure if the remaining disk space is unallocated, mounted in other folders, stuck in "tmpfs" or how to add it to the primary partition. This is in Ubuntu 18.04 OS. I would like for the full 64 GB to be available at root. I appreciate any help!

When I run df -h, here are the results:

...

ANSWER

Answered 2021-Dec-16 at 16:44

Depending on the installation, the root partition might only use a part of the logical volume (LV).

Try the commands vgs and lvs to get information about your current setup. I assume that vgs shows about 30G free space. You can enlarge the root volume using lvresize. After this you need to adapt the file system. This depends on the file system type you are using. If you use extX then you might want to run resize2fs.

Edit based on the edited question:

Yes, everything can be done when the disk is mounted and in use.

BUT YOU NEED TO TAKE CARE ABOUT THE COMMANDS YOURSELF!!! A WRONG COMMAND MIGHT DESTROY YOUR SYSTEM.

PLEASE TAKE YOUR TIME TO MAKE YOURSELF COMFORTABLE WITH LVS BEFORE CHANGING THE SYSTEM.

There are many good tutorials which might help you, e.g.:

http://ryandoyle.net/posts/expanding-a-lvm-partition-to-fill-remaining-drive-space/

Source https://stackoverflow.com/questions/70381560

QUESTION

Keras EarlyStopping callback working inconsistently

Asked 2021-Apr-03 at 16:14

For training my neural network model I use Keras' EarlyStopping callback to minimize train time (via talos.utils.early_stopper wrapper):

...

ANSWER

Answered 2021-Apr-03 at 16:14

For some reason, changing monitor from val_loss to val_accuracy (EarlyStopping(monitor="val_accuracy", min_delta=0.01, patience=2, verbose=1, mode='auto') seems to give a more consistent callback.

Source https://stackoverflow.com/questions/66882679

QUESTION

Spring Boot + Java : Keyword Based Search from JSON data

Asked 2020-Jul-21 at 10:45

I have a project in spring boot using java. I am using Spring boot 2.1.4. I implemented third party devices and call their APIs by using REST. I stored response in elastic search. I am using elastic search 7.3.
I have one API which fetch data from elastic search and front end will call this API and render data which is basically JSON data from third party API. Now I want to build one API that can return search result. For example somebody typing ip in search box then I have to find ip from JSON data not from elastic search and return result to front end.
I know that how to search data from elastic but I already fetched data and it rendered. It's another API to search data, I want to search data from rendered data. So it's a basically keyword search from JSON data by using java. I researched a lot but couldn't find anything relatable.

...

ANSWER

Answered 2020-Jun-06 at 08:51

This might be help to you I test this so I think that this will work for you.

Source https://stackoverflow.com/questions/62226765

QUESTION

How to run a container without a shell in GitLab CI job

Asked 2020-Apr-09 at 01:21

I want to run conform as part of my pipeline to check commit messages, but the container image lacks a shell, and has entrypoint /conform and argument enforce. My .gitlab-ci.yml should look like:

...

ANSWER

Answered 2020-Apr-06 at 07:39

You can always install conform as part of your CI:

Source https://stackoverflow.com/questions/61027811

QUESTION

tf.data.Dataset: The `batch_size` argument must not be specified for the given input type

Asked 2020-Apr-06 at 09:37

I'm using Talos and Google colab TPU to run hyperparameter tuning of a Keras model. Note that I'm using Tensorflow 1.15.0 and Keras 2.2.4-tf.

...

ANSWER

Answered 2020-Apr-06 at 09:37

There seems to be an issue on keras distributed code.

If you take a look at

Source https://stackoverflow.com/questions/60999958

QUESTION

Hyperpameter optimization of already trained model

Asked 2020-Jan-16 at 15:44

I've a corpus and I divided it into 3 parts.

Training set 80%
Dev set 10%
Testing set 10%

I've the below CNN model trained on Training set and Evaluated against Dev set

...

ANSWER

Answered 2020-Jan-16 at 15:44

Following your last comment, and from Keras documentation:

(look for "grid", the scikit-learn grid search for hyper-parameters fine tuning. The following code should be fully running as is. You can use the same method with your saved/loaded model, using the datasets you wish)

Source https://stackoverflow.com/questions/59770874

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install TaLoS

Follow these instructions to build the TaLoS library and the sample applications. We assume that the path to the repository is ${PROJECT_ROOT} (eg /home/<username>/talos/).

Support

TaLoS can be used to build other systems that need to process the TLS communication in a secure manner, inside an SGX enclave. The interface consists of a set of private functions, called by LibreSSL, and public functions, used by your TLS processing module to register callbacks. These callbacks are called by the "private" functions. The public interface is the following:. In addition, your TLS processing module must implement the void tls_processing_module_init(void), which is called upon the enclave creation. In this function you can register the callbacks and initialise your code. The callbacks registered for tls_processing_register_ssl_read_processing_cb() and tls_processing_register_ssl_write_processing_cb() can not only read the data buffer but also modify it in place. This can for example be used to ensure that an application calling SSL_read() does not observe sensitive data that goes through the TLS connection. The file logpoint.c is a minimal example of a TLS processing module that uses this interface to log the TLS communications. To enable it, please define the DO_LOGGING macro in logpoint.c. The Makefiles define a variable TLSPROCESSINGMODULE which lists the files that need to be compiled for your module. Note that, because TaLoS cannot load existing shared libraries inside an enclave, a recompilation of TaLoS is necessary to use a different module.

Find more information at: