7CCSMBDT – Big Data Technologies Week 9 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) Spring 2016/2017 1 Today More algorithms for streams: (1) Filtering a data stream: Bloom filters Select elements with property x from stream (2) Counting distinct elements: Flajolet-Martin Number of distinct elements in the last k elements of the stream […]
7CCSMASE Tutorial 7 (Week 8) Consider the following program (Euclid¡¯s algorithm): public int gcd(int x, int y) { int tmp; while(y!=0){ tmp = x % y; x = y; y = tmp; } if(y!=0){ print(¡°Error in computation.¡±); exit(1); (b) Is it possible to achieve 100% statement coverage for this program? Explain your answer. If some
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Designing and Building Secure Software Slide deck courtesy of Prof. Michael Hicks, University of Maryland, College Park (UMD) Making secure software • Making secure software Flawed approach: Design and build software, and ignore security at first Add security once the functional requirements are • satisfied • Making secure software Flawed approach: Design and build software,
Dependence and Data Flow Models (c) 2007 Mauro Pezzè & Michal Young Ch 6, slide 1 Why Data Flow Models? • Models from Chapter 5 emphasized control • Control flow graph, call graph, finite state machines • We also need to reason about dependence • Where does this value of x come from? • What
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7CCSMSEN: Security Engineering Introduction Lorenzo Cavallaro http://s2lab.kcl.ac.uk Systems Security Research Lab – Cybersecurity Research Group Department of Informatics, King’s College London Lorenzo Cavallaro (S2 Lab) 7CCSMSEN 1 / 41 “Security Engineering is about building systems to remain dependable in the face of malice, error, or mischance.” Security Engineering (2nd ed). Ross Anderson Should we care?
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King’s College London This paper is part of an examination of the College counting towards the award of a degree. Examinations are governed by the College Regulations under the authority of the Academic Board. Examination Period Module Code Module Title Format of Examination: Start time: Time Allowed Instructions: Rubric Summer (Period 2) 2020 7CCSMBDT Big
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7CCSMBDT – Big Data Technologies Week 8 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) Spring 2017/2018 1 Objectives Data streams What are they? What are their properties? How do we manage them? Common queries (problems) on streams Sampling Window queries Reading Chapter 4 Leskovec’s book Tutorial: mining massive
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Authentication and Authorization Slide credits: Dr Daniele Sgandurra (Royal Holloway, University of London, UK) Dec 3rd, 2018 2 Authentication Dec 3rd, 2018 3 Objectives • Introduce need for user authentication (and distinguish from identification). • Cover three main classes of user authentication methods, based on either: • something known; • something possessed; • personal characteristics
Static Analysis Static Analysis Slide deck courtesy of Prof. Michael Hicks, University of Maryland, College Park (UMD) Static Analysis for Secure Development • • Static Analysis for Secure Development Introduction Static analysis: What, and why? • • • • Static Analysis for Secure Development Introduction Static analysis: What, and why? Basic analysis Example: Flow analysis
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7CCSMBDT – Big Data Technologies Week 1 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) Spring 2017/2018 1 Today Logistics Brief overview of the module Introduction to the topic Big Data Technologies Data analytics & Big data 2 Logistics Practicals (from Week 2 onwards): Monday, 9-11, Bush House (S) 7.01/2/3