BHH | Browser History Histogram -- module for the Autopsy | Cybersecurity library

 by   labcif Java Version: 1.0.3 License: GPL-3.0

kandi X-RAY | BHH Summary

kandi X-RAY | BHH Summary

BHH is a Java library typically used in Security, Cybersecurity applications. BHH has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However BHH build file is not available. You can download it from GitHub.

Browser History Histogram -- module for the Autopsy Forensic Browser
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            kandi-support Support

              BHH has a low active ecosystem.
              It has 6 star(s) with 2 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              BHH has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of BHH is 1.0.3

            kandi-Quality Quality

              BHH has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              BHH is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              BHH releases are available to install and integrate.
              BHH has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed BHH and discovered the below as its top functions. This is intended to give you an instant insight into BHH implemented functionality, and help decide if they suit your requirements.
            • Initialize the components
            • User pressed the import query button
            • Called when the user clicks on the website
            • Entry point for exporting website
            • Generate the report
            • Retrieves a list of Websites from the database
            • Generates a PDF for the plot
            • Write the report
            • ProcessIngest module
            • Finishes theIngest module
            • The main entry point
            • Initialize database
            • Gets the full path to the browser installation in the current directory
            • Return the full path to the browser installation in the current machine
            • Transform all tables
            • Converts the given object to a byte array
            • Deletes all extracted tables
            • Delete all Chrome Maps
            • Initialize the modules
            • Delete clean tables
            • Fill the queries table
            • Retrieves a map of operating system names to their names
            • Fill the website
            • Customize the label components
            • Runs the module
            • Convert a byte array to an object
            Get all kandi verified functions for this library.

            BHH Key Features

            No Key Features are available at this moment for BHH.

            BHH Examples and Code Snippets

            No Code Snippets are available at this moment for BHH.

            Community Discussions

            QUESTION

            Merging to dataframes based on their latitudes
            Asked 2020-May-02 at 19:15

            I am simply trying to merge/join to dataframes based on their latitudes. Whenever I run the below code it will only return a dataframe in which some of the latitudes have matched up. I have tried converting the "Lat" column from number to character and that did not have any effect. I have also tried using the join function in plyr without any luck. I am not sure where to go from here. Thank you.

            ...

            ANSWER

            Answered 2020-May-02 at 15:40

            If you merge by latitude and longitude after rounding the numbers to 5 digits, you'll obtain a complete set of matches for df1.

            Source https://stackoverflow.com/questions/61561819

            QUESTION

            Calculating Intake energy with loops
            Asked 2020-Apr-23 at 15:37

            I am trying to run through an old coworkers script and I am hoping someone can help inform me of what exactly he did during this code segment. Earlier in the script we calculated the intake rate for several prey species and now it appears that we are grouping them based on unique locations. The section of code after this requires that there be 41 rows ( 1 row for each unique location in the complete dataset). I believe that the code subsets the data based on latitude and then adds an 'alpha' column. The main issue that I am having is what is this line calculating: x= x + d$Intakerate_kjday[j]*d$alpha[j]. For locations that had several prey items (profit.fall.38.4.959) is this code summing up "intakerate_kjday" and "alpha" and then multiplying them together? When the code is performed I receive the error Error in

            ...

            ANSWER

            Answered 2020-Apr-23 at 15:37

            The code in question apparently computes (very inefficiently and inaccurately)

            Source https://stackoverflow.com/questions/61388545

            QUESTION

            Selecting unique values from a column and look for respective associated data from other dataframes
            Asked 2018-Mar-23 at 09:10

            This is for anyone if they are looking for a solution of such kind of a problem. I will try to explain the problem here and put the answer after that.

            Question

            I have two csv files (file1.csv and file2.csv): in which cookieid column is common in both. When I load it in dataframe it looks like this for ex:

            ...

            ANSWER

            Answered 2018-Mar-23 at 09:10
            import pandas as pd
            import numpy as np
            import string
            
            
            DATA_FILE1 = 'file1.csv'
            ## encodings vary from file to file
            df1 = pd.read_csv(DATA_FILE1,sep=',',encoding='ISO-8859-1')
            DATA_FILE2 = 'file2.csv'
            df2 = pd.read_csv(DATA_FILE2,sep=',',encoding='ISO-8859-1')
            
            #creating a list of unique cookieids from both the files
            cookielist =[]
            
            uniqcookie1 = df1["CookieID"].unique()
            uniqcookie2 = df2["CookieID"].unique()
            
            for i in uniqcookie1:
                cookielist.append(i)
            for j in uniqcookie2:
                cookielist.append(j)
            
            for i in cookielist:
                dfout1 = df1.loc[df1['CookieID'] == i]
                dfout2 = df2.loc[df2['CookieID'] == i]
                bigdata = pd.concat([dfout1, dfout2], axis=1)
                k = bigdata.loc[:, bigdata.columns != 'CookieID']
                k.to_csv(str(i)+".txt",header=None, index=None, sep=' ', mode='a')
            

            Source https://stackoverflow.com/questions/49349215

            QUESTION

            Replace unique values in specific columns in a dataframe
            Asked 2018-Mar-13 at 11:56

            My dataframe looks like this:

            ...

            ANSWER

            Answered 2018-Mar-10 at 19:06

            QUESTION

            Pandas dataframe replace unique values in a column
            Asked 2018-Mar-08 at 14:53

            My dataframe looks like this:

            ...

            ANSWER

            Answered 2018-Mar-08 at 13:45

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

            Vulnerabilities

            No vulnerabilities reported

            Install BHH

            You can download it from GitHub.
            You can use BHH 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 BHH 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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