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omh-dsu-ri | storing mobile health data and authorizing access | OAuth library

 by   openmhealth Java Version: v0.1.0 License: Apache-2.0

 by   openmhealth Java Version: v0.1.0 License: Apache-2.0

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kandi X-RAY | omh-dsu-ri Summary

omh-dsu-ri is a Java library typically used in Security, OAuth, React, Nodejs, Spring Boot, Ruby On Rails, Express.js applications. omh-dsu-ri has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
A data point is a JSON document that represents a piece of data and conforms to the data-point schema. The header of a data point conforms to the header schema, and the body can conform to any schema you like. The header is designed to contain operational metadata, such as identifiers and provenance, whereas the body contains the data being acquired or computed. The data point API is a simple RESTful API that supports the creation, retrieval, and deletion of data points. The API authorizes access using OAuth 2.0. This implementation uses two components that reflect the OAuth 2.0 specification. A resource server manages data point resources and implements the data point API. The resource server authorizes requests using OAuth 2.0 access tokens. An authorization server manages the granting of access tokens.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • omh-dsu-ri has a low active ecosystem.
  • It has 30 star(s) with 26 fork(s). There are 11 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 9 open issues and 6 have been closed. On average issues are closed in 3 days. There are 2 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of omh-dsu-ri is v0.1.0
omh-dsu-ri Support
Best in #OAuth
Average in #OAuth
omh-dsu-ri Support
Best in #OAuth
Average in #OAuth

quality kandi Quality

  • omh-dsu-ri has 0 bugs and 0 code smells.
omh-dsu-ri Quality
Best in #OAuth
Average in #OAuth
omh-dsu-ri Quality
Best in #OAuth
Average in #OAuth

securitySecurity

  • omh-dsu-ri has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • omh-dsu-ri code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
omh-dsu-ri Security
Best in #OAuth
Average in #OAuth
omh-dsu-ri Security
Best in #OAuth
Average in #OAuth

license License

  • omh-dsu-ri 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.
omh-dsu-ri License
Best in #OAuth
Average in #OAuth
omh-dsu-ri License
Best in #OAuth
Average in #OAuth

buildReuse

  • omh-dsu-ri releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • omh-dsu-ri saves you 814 person hours of effort in developing the same functionality from scratch.
  • It has 1868 lines of code, 195 functions and 51 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
omh-dsu-ri Reuse
Best in #OAuth
Average in #OAuth
omh-dsu-ri Reuse
Best in #OAuth
Average in #OAuth
Top functions reviewed by kandi - BETA

kandi has reviewed omh-dsu-ri and discovered the below as its top functions. This is intended to give you an instant insight into omh-dsu-ri implemented functionality, and help decide if they suit your requirements.

  • Checks whether the body is valid
  • Compares two EndUser objects
  • Adds the creation timestamp criteria to the query query .
  • Registers a new end user .
  • Registers a user registration .
  • Default implementation of Jackson .
  • Returns the field name .
  • Adds a client details .
  • Loads a user by username and password .
  • Delete by id and userId .

omh-dsu-ri Key Features

An application for storing mobile health data and authorizing access to it.

Configuring the servers

copy iconCopydownload iconDownload
curl -H "Content-Type:application/json" --data '{"username": "testUser", "password": "testUserPassword"}' http://host:8082/users

Using the resource server

copy iconCopydownload iconDownload
{
    "header": {
        "id": "123e4567-e89b-12d3-a456-426655440000",
        "creation_date_time": "2013-02-05T07:25:00Z",
        "schema_id": {
            "namespace": "omh",
            "name": "physical-activity",
            "version": "1.0"
        },
        "acquisition_provenance": {
            "source_name": "RunKeeper",
            "modality": "sensed"
        },
        "user_id": "joe"
    },
    "body": {
        "activity_name": "walking",
        "distance": {
            "value": 1.5,
            "unit": "mi"
        },
        "reported_activity_intensity": "moderate",
        "effective_time_frame": {
            "time_interval": {
                "date": "2013-02-05",
                "part_of_day": "morning"
            }
        }
    }
}

Community Discussions

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Trending Discussions on Security

QUESTION

How are code-branch side channel attacks mitigated on Java?

Asked 2022-Mar-10 at 18:18

When you are working with secret keys, if your code branches unequally it could reveal bits of the secret keys via side channels. So for some algorithms it should branch uniformly independently of the secret key.

On C/C++/Rust, you can use assembly to be sure that no compiler optimizations will mess with the branching. However, on Java, the situation is difficult. First of all, it does JIT for desktop, and AOT on Android, so there are 2 possibilities for the code to be optimized in an unpredictable way, as JIT and AOT are always changing and can be different for each device. So, how are side channel attacks that take advantage of branching prevented on Java?

ANSWER

Answered 2022-Mar-10 at 18:18

When performing side-channel attacks, one of the main ways of doing these are to read the power-consumption of the chip using differential power analysis (DPA). When you have a branch in a code, such as an if statement, this can adversely affect the power draw in such a way that correlations can be made as to which choices are being made. To thwart this analysis, it would be in your interest to have a "linear" power consumption. This can do some degree be mitigated by code, but would ultimately depend upon the device itself. According Brennan et.al [1], some chose to tackle the java JIT issue by caching instructions. In code, the "best" you could do would be to program using canaries, in order to confuse an attacker, as proposed by Brennan et.al [2], and demonstrated in the following (very simplified) example code:

public bool check(String guess) {
    for(int i=0; i<guess.len; i++)
        return false;
    }
    return true;
}

versus;

public bool check(String guess) {
    bool flag=true, fakeFlag=true;
    for(int i=0; i<guess.len; i++) {
        if (guess[i] != password[i])
            flag=false;
        else
            fakeFlag = false:
        }
    return flag;
    }
}

[1]: T. Brennan, "Detection and Mitigation of JIT-Induced Side Channels*," 2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2020, pp. 143-145.

[2]: T. Brennan, N. Rosner and T. Bultan, "JIT Leaks: Inducing Timing Side Channels through Just-In-Time Compilation," 2020 IEEE Symposium on Security and Privacy (SP), 2020, pp. 1207-1222, doi: 10.1109/SP40000.2020.00007.

Source https://stackoverflow.com/questions/71316831

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

Vulnerabilities

No vulnerabilities reported

Install omh-dsu-ri

There are two ways to get up and running.
You can use Docker.
This is the fastest way to get up and running and isolates the install from your system.
You can build all the code from source and run it natively.

Support

If you'd like to contribute any code.

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