SQL Injection Command Injection Attacks ‹#› Command Injection Attacks A class of attacks in which … data provided by the user … is passed to an application … which interprets it as commands ‹#› ‹#› $query = “SELECT * FROM users WHERE user_id=” OR 1=1;–‘ AND password=’secret’” $query = “SELECT * FROM users WHERE user_id=’yval’ […]
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6asso COMP9318: Data Warehousing and Data Mining 1 COMP9318: Data Warehousing and Data Mining — L6: Association Rule Mining — COMP9318: Data Warehousing and Data Mining 2 n Problem definition and preliminaries COMP9318: Data Warehousing and Data Mining 3 What Is Association Mining? n Association rule mining: n Finding frequent patterns, associations, correlations, or causal
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Page 1 of 10 Assignment 1 – Spatial Data Management Submission Date: Monday 10th December 2018 at 12:00 midday Submission Method: Digital copy to be submitted via Turnitin via the five links provided o A single PDF or Word document of your report, maps, sketches and essay o Four separate SQL scripts Note that
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1 CS430/630 – Midterm 30 points, 75 minutes, 3 pages For both questions, you are given the following relational schema. Books(bid:integer, bname:string, author:string, year:integer, price:integer) Orders(cid:integer, bid:integer, quantity:integer) Customers(cid:integer, cname:string, age:integer, zipcode:string) The meaning of attributes is as follows: – bid: unique book identifier, – bname: book name, – author: book author, – year: book
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Programming Language Pragmatics Programming Language Pragmatics FOURTH EDITION This page intentionally left blank Programming Language Pragmatics FOURTH EDITION Michael L. Scott Department of Computer Science University of Rochester AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Morgan Kaufmann is
INFO20003 Database Systems INFO20003 Database Systems 1© University of Melbourne 2018 INFO20003 Database Systems Lecture 14 Query Optimization Part II Semester 2 2018, Week 7 Dr Renata Borovica-Gajic INFO20003 Database Systems 2© University of Melbourne 2018 MST • When: Tuesday 11/09/2018 @ 2:45 – 4:00pm –Seated at 2:45pm, the test starts at 3:00pm and runs
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SQL: Queries, Constraints, Triggers SQL Aggregate Queries CS430/630 Lecture 8 Slides based on “Database Management Systems” 3rd ed, Ramakrishnan and Gehrke Aggregate Operators Significant extension of relational algebra COUNT (*) COUNT ( [DISTINCT] A) SUM ( [DISTINCT] A) AVG ( [DISTINCT] A) MAX (A) MIN (A) SELECT COUNT (*) FROM Sailors S A is a
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COMP5338 – Advanced Data Models Ying Zhou School of Information Technologies COMP5338 – Advanced Data Models Week 7: Graph Data and Neo4j Introduction Administrative The group project instruction and data set will be published this week (week 7) Group can have up to 2 students Self-enrolled groups will be set up on
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SQL: Queries, Constraints, Triggers Null Values. SQL Constraints CS430/630 Lecture 10 Slides based on “Database Management Systems” 3rd ed, Ramakrishnan and Gehrke Null Values Field values in a tuple may sometimes be unknown: e.g., a rating has not been assigned, or a new column is added to the table inapplicable: e.g., CEO
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FIT2094 Databases 2018 Semester 1 Assignment 1 – Database Design – Monash Library Services (MonLib) The local Monash Municipality maintains several libraries for its residents across the municipality. For each branch Monash Library Services assigns a branch code (an incremental number for each branch with the first branch using a code of 100). The branch
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