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gpstocks | Using Genetic Programming for Securities Analysis | Security library

 by   sighmin Java Version: Current License: No License

 by   sighmin Java Version: Current License: No License

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kandi X-RAY | gpstocks Summary

gpstocks is a Java library typically used in Security applications. gpstocks has no bugs, it has no vulnerabilities and it has low support. However gpstocks build file is not available. You can download it from GitHub.
Using Genetic Programming for Securities Analysis
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • gpstocks has a low active ecosystem.
  • It has 39 star(s) with 23 fork(s). There are 11 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 0 have been closed. On average issues are closed in 1250 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of gpstocks is current.
gpstocks Support
Best in #Security
Average in #Security
gpstocks Support
Best in #Security
Average in #Security

quality kandi Quality

  • gpstocks has 0 bugs and 0 code smells.
gpstocks Quality
Best in #Security
Average in #Security
gpstocks Quality
Best in #Security
Average in #Security

securitySecurity

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

license License

  • gpstocks does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
gpstocks License
Best in #Security
Average in #Security
gpstocks License
Best in #Security
Average in #Security

buildReuse

  • gpstocks releases are not available. You will need to build from source code and install.
  • gpstocks has no build file. You will be need to create the build yourself to build the component from source.
  • gpstocks saves you 2458 person hours of effort in developing the same functionality from scratch.
  • It has 5353 lines of code, 208 functions and 47 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
gpstocks Reuse
Best in #Security
Average in #Security
gpstocks Reuse
Best in #Security
Average in #Security
Top functions reviewed by kandi - BETA

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

  • Calculate the technical indicators .
    • Extracts the ranges .
      • Run the help .
        • Updates the list of individuals in the subset .
          • Random a random list of individuals from the pool
            • Writes the indicator data to a file .
              • Returns the most occuring indicator .
                • Extract data from the folder
                  • Performs the crossover .
                    • Populates the return data .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      gpstocks Key Features

                      Using Genetic Programming for Securities Analysis

                      Community Discussions

                      Trending Discussions on Security
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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 gpstocks

                      You can download it from GitHub.
                      You can use gpstocks like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the gpstocks component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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