PPT-Part 3: Advanced Dynamic Analysis

Chapter 8 Debugging Chapter 9 OllyDbg Chapter 8 Debugging Debugger Hardware or software used to examine execution of another program Disassembler static snapshot of what code looks like before execution. eb pages can made more liv ely dynamic or in teractiv DHTML tec hniques With DHTML ou can prescrib actions triggered bro wser ev en ts to mak the page more liv ely and resp onsiv e Suc actions ma alter the con ten and app earance of an parts of the Daniel Trugman. , July . 2013. 2D Rough-Fault Dynamic Simulations. Homogenous background stress + complex fault geometry . . heterogeneity in tractions. Eliminates important source of uncertainty: fault geometry is a direct observable. Chris . Karlof. , J.D. . Tygar. , David Wagner, . Umesh. Shankar. Overview. Motivation. Background Information. Attacks and Vulnerabilities. Details. Accomplishments. Conclusion/Summary. Phishing. Pharming. systems. STREAM-Engineering Doctorate project. By: Biniam . Biruk. Ashagre. Academic Supervisors: Dr Guangtao Fu. Prof David Butler. Industrial Supervisor: Ms Kerry Davidson. Safe and Sure project weekly meeting: 29/08/2013 . Dafny. K. Rustan M. Leino. RiSE. , Microsoft Research. 17 July 2009. JML seminar. Dagstuhl. , Germany. Dafny. experimental language. sequential, object based (no . subclassing. ). specifications in the style of . Aaron Erickson. Lead Consultant, ThoughtWorks. Author, The Nomadic . Developer. Co-Author, Professional F# (coming soon!). Microsoft MVP – C#. Crazy Shit We Can Do With the Dynamic Keyword. *. *. Not all of this is a good idea (remember, use and . ADVANCED MANUFACTURING OFFICE ADVANCED MANUFACTURING OFFICE ADVANCED MANUFACTURING OFFICE David Devecsery,. Peter M. Chen, Satish Narayanasamy, Jason Flinn. University of Michigan. Motivation – Problem . Dynamic analysis is essential. Memory errors. Buffer overflow, use-after-free, double free, memory leak…. Zurek. . Scaling of . the Quantum . Ising. . Chain. Michael Kolodrubetz. Boston University. In collaboration with: . B.K. Clark, D. . Huse. (Princeton). A. . Polkovnikov. , A. Katz (BU). Outline. Part . Ian Kash. 1. Ariel Procaccia. 2. Nisarg. Shah. 2. (Speaker). 1. MSR Cambridge. 2. Carnegie Mellon University. Allocation of Multiple Resources Without Money. Allocating computational resources (CPU, RAM etc.). effect. Based on . Eugene . Nida’s Theory. Introduction. In . Toward a Science of Translating . Eugene . Nida. discards using terms such as “literal”, “free” and “faithful” in . favor . Dynamic Programming. Dynamic programming is a useful mathematical technique for making a sequence of interrelated decisions. It provides a systematic procedure for determining the optimal combination of decisions.. Originally the “Tabular Method”. Key idea:. Problem solution has one or more . subproblems. that can be solved recursively. The . subproblems. are overlapping. The same . subproblem. will get solved multiple times. Dynamic Apex. Enables you to create more flexible applications by providing you the ability to access . sObject. and field metadata descriptions.. Allows you to write dynamic SOQL and SOSL queries and dynamic DML..