cyber crimes

Each of your answers should be written using your own words. Do not copy and paste from your textbook or an Internet source. Simply copying from the book word-for-word does not show me that you understand the concepts.  Ensure you cite your work and add reference(s) at the end of your journal. This assignment is designed to see if you are reading and understanding the material from your textbook and learning modules, so these should be the sources you are citing in your work. You should not need to do research from additional resources unless the question specifically asks you to do so; you should not be Googling the answers for these questions.
Please review the APA module under the “Getting Started” area if you need assistance.  As a criminal justice professional, it is imperative that you learn the finer aspects of writing.  Citing and referencing are part of the gradable criteria for your weekly work.
All questions are worth 20 points:
Identify and describe two or three traditional crimes in which computers are now used as an instrument. How has the nature of these crimes changed as a result of technology?
What is anonymity on the Internet? What are the pros and cons of anonymity?
Find a spam or phishing e-mail in your e-mail account. Analyze the condensed and full e-mail header fields. What did you observe? Which header fields were included in the chosen e-mail that were not covered in this week? What forensic value do they hold, if any?
What is the difference between stand-alone and networked computers? What are the different types of computer networks?
Mobile devices have been the targets of crimes, have been used to commit crimes, and have held evidence of crimes. Conduct an online search for a case (not described this week) where a mobile device (PDA, mobile phone, or smart phone) was involved in a criminal or civil investigation. What were the facts of the case? What was the role of the device in the investigation?

Sample Solution

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

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