In February 2002, the eurodollar exchange rate was 1.20, and in May.pdf

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In a mouse cell, a cytosine within the genome deaminates spontaneously and becomes a uracil. Which DNA repair system is most likely to detect and correct this defect before it can be fixed in the genome as a permanent mutation? Base-excision repair Mismatch repair Homologous recombination Reactivation Nucleotide-excision repair Base-excision repair Mismatch repair Homologous recombination Reactivation Nucleotide-excision repair Solution Base excision repair This is the DNA repair system that can detect and correct the spontaneous deamination Cytosine into Uracil. First, the enzyme, uracil DNA glycosylase abstracts the deaminated cytosine in the DNA. Then the sugar phosphate containing the missing base is cut out by the action of enzyme AP endonuclease. This space is then filled by DNA polymerase and DNA ligase. In this manner the Uracil is reconverted into original cytosine. The AP endonuclease enzyme can identify any site in the DNA helix that contains a deoxyribose sugar with a missing base..

In February 2002, the euro/dollar exchange rate was 1.20, and in May 2002, the euro/dollar
exchange rate was 1.10. What happened to the exchange rate during this period?
Euro appreciated against the dollar.
Euro depreciated against the dollar.
Dollar appreciated against the euro.
Both B and C.
Solution
Both B and C

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1.Review news reports from a specific data breach. Choose a breach for which plausable news reports have identified how the attack occured and have identified the likely attacker. Complete the following reports. a. write a thrat agent profile of the likely attacker b. write an attack scenario for the data breach. c. write an attack case study about the data breack. 2.based on your answer to tha question above, develop an authentication policy for Alice, asuming she faces weak authentication threats at home. 3. Review news reports for cyber attacks. identify a cyber attack that relied on masquerade to succeed. Write an attack case study about that attack. Be sure to explain how the masquerade was supposed to work and whether or not it succeeded. Solution The Attack Surface describes all of the different points where an attacker could get into a system, and where they could get data out. The Attack Surface of an application is: You overlay this model with the different types of users - roles, privilege levels - that can access the system (whether authorized or not). Complexity increases with the number of different types of users. But it is important to focus especially on the two extremes: unauthenticated, anonymous users and highly privileged admin users (e.g. database administrators, system administrators). Group each type of attack point into buckets based on risk (external-facing or internal-facing), purpose, implementation, design and technology. You can then count the number of attack points of each type, then choose some cases for each type, and focus your review/assessment on those cases. With this approach, you don\'t need to understand every endpoint in order to understand the Attack Surface and the potential risk profile of a system. Instead, you can count the different general type of endpoints and the number of points of each type. With this you can budget what it will take to assess risk at scale, and you can tell when the risk profile of an application has significantly changed. Identifying and Mapping the Attack Surface You can start building a baseline description of the Attack Surface in a picture and notes. Spend a few hours reviewing design and architecture documents from an attacker\'s perspective. Read through the source code and identify different points of entry/exit: The total number of different attack points can easily add up into the thousands or more. To make this manageable, break the model into different types based on function, design and technology: You also need to identify the valuable data (e.g. confidential, sensitive, regulated) in the application, by interviewing developers and users of the system, and again by reviewing the source code. You can also build up a picture of the Attack Surface by scanning the application. For web apps you can use a tool like the OWASP_Zed_Attack_Proxy_Project or Arachnior Skipfish or w3af or one of the many commercial dynamic testing and vulnerability scanning tools or servi.

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