13th

Thesis statement
Start out the paper with a strong thesis statement related to your film.

        For example: Minority neighborhoods are strongly tied to higher instances of racial profiling.

Discuss (briefly in one 8 sentence paragraph) how you saw this thesis statement in the film you watched.

****transition sentence******

Then begin with your review of the articles and what you found.  You can copy and paste the text from your literature review assignment here.
*****transition sentence****

What theory about race best describes what you found in both the film and articles?  (Intesectionality, Race Relations, Model Minority)

Define the theory first and then talk about how it relates to the film and articles.

In the next section please answer the following questions

What was the overall theme of the movie?
Who were the main characters and cite 3 major events that relate to the overall theme of the film.
What are your thoughts about the stratification in the neighborhood or setting?
How is racism and racialization visible in the film (cite 3 examples)?
Did you notice any gender references or inequalities?
Conclusion
Sum up your main points.
What do the film and articles teach us about race?  Where do we go from there? How can this issue be resolved?
Remember to cite APA style.

Please include a reference section including the film and three articles cited in APA (this is page 6)

Total Paper 5 full length pages

1 page reference (this is page 6)

Double-spaced, 12pt Times New Roman Font

3005

Reflect on your current or prior practice setting.

·  Paragraph One: Briefly describe the type(s) of nursing health assessments you commonly perform. 

o  Explain how your nursing health assessments are focused or comprehensive.

o  Provide examples of key subjective and objective data collected by nurses in this setting.

·  Paragraph Two: Describe the typical patient population in your practice setting.

o  What are some special considerations that you have used for obtaining an accurate health history and physical assessment in this patient population?

§  Examples may include age, lifestyle, financial status, health status, culture, religion, or spiritual practices.

 

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Dictionary Attacks

Write a Python script to perform a dictionary attack on a Linux password file.
Copy /etc/shadow file to your local directory. Study the format of this file.
Add the following 3 lines to the /etc/shadow file. For speed purposes remove all other lines.
tommy:$6$HFQQdE2g$g0eyz6UN.c4Pg1tiQgdPPPXdQ1fEOwttCwzSah/Jo4RE9Eac4H7pgksaNLI/WSIyN8tNtCX4NaAq6Uwz.o.4W1:17400:0:99999:7:::

mathis:$6$niptplk1$.mMMVx4T375WhFkDN5RWEaD93HcmDCx3aBQrn2ZalbiRpl4FB2Rww/BeCPEfSYbegjPvoHM2llQmk/VBbSxWj.:17400:0:99999:7:::

tristan:$6$MWwusFJx$KCoO1wiWKtE.7j/7UiwD.1jXmOckMb5X4GGt1DotLS0laXdFga5n3wGfu43FC/Opxki7mY6Yf9XT.cBGN.pkp0:17400:0:99999:7:::

Use the “crypt” library crypt function to create your hash.
Use the “hmac” library compare hash function to compare hashes from the /etc/shadow file to the hashes produced from your guesses.
Use the string split() function to separate the separate the password lines from the shadow file by the ‘:’ delimiter to isolate the userid and the hash from an entry in the shadow file.
Calculate the appropriate hash (using the method specified for the entry from the shadow file) for each word in this wordlist (http://www.openwall.com/passwords/wordlists/password-2011.lst (Links to an external site.)), compare the hash, and stop comparing when you find a match.
Attempt the dictionary attack for each entry in the shadow file.
Remember you need to provide the word from the dictionary, the method, and the salt to the crypt() function.
Print the userid and password when a match is found:
“Match found for userid [userid]. Password = [password]”
Print the “No match was found for [userid]” when there no match in the dictionary.

Sample Solution

The post Dictionary Attacks appeared first on nursing writers.

The post Dictionary Attacks appeared first on nursing writers.

Dictionary Attacks

Write a Python script to perform a dictionary attack on a Linux password file.
Copy /etc/shadow file to your local directory. Study the format of this file.
Add the following 3 lines to the /etc/shadow file. For speed purposes remove all other lines.
tommy:$6$HFQQdE2g$g0eyz6UN.c4Pg1tiQgdPPPXdQ1fEOwttCwzSah/Jo4RE9Eac4H7pgksaNLI/WSIyN8tNtCX4NaAq6Uwz.o.4W1:17400:0:99999:7:::

mathis:$6$niptplk1$.mMMVx4T375WhFkDN5RWEaD93HcmDCx3aBQrn2ZalbiRpl4FB2Rww/BeCPEfSYbegjPvoHM2llQmk/VBbSxWj.:17400:0:99999:7:::

tristan:$6$MWwusFJx$KCoO1wiWKtE.7j/7UiwD.1jXmOckMb5X4GGt1DotLS0laXdFga5n3wGfu43FC/Opxki7mY6Yf9XT.cBGN.pkp0:17400:0:99999:7:::

Use the “crypt” library crypt function to create your hash.
Use the “hmac” library compare hash function to compare hashes from the /etc/shadow file to the hashes produced from your guesses.
Use the string split() function to separate the separate the password lines from the shadow file by the ‘:’ delimiter to isolate the userid and the hash from an entry in the shadow file.
Calculate the appropriate hash (using the method specified for the entry from the shadow file) for each word in this wordlist (http://www.openwall.com/passwords/wordlists/password-2011.lst (Links to an external site.)), compare the hash, and stop comparing when you find a match.
Attempt the dictionary attack for each entry in the shadow file.
Remember you need to provide the word from the dictionary, the method, and the salt to the crypt() function.
Print the userid and password when a match is found:
“Match found for userid [userid]. Password = [password]”
Print the “No match was found for [userid]” when there no match in the dictionary.

Sample Solution

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