SYLLABUS WEEKLY SCHEDULE SEMESTER VII DEPARTMENT OF IT IV YEAR COURSE
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1 SYLLABUS WEEKLY SCHEDULE SEMESTER VII DEPARTMENT OF IT IV YEAR COURSE # 60, Avadi-Alamathi Road, Chennai Phone: to@velhightech.com Website:
2 SEMESTER V S.N O WEEK FROM TO 1 WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK
3 UNIT TEST-I S.N SUBJECT SUBJECT NAME DATE O CODE 1 IT6701 Information Management Cryptography and Network 2 CS Security Data Ware Housing and Data 3 IT Mining 4 CS6703 Grid and Cloud Computing IT6004 Software Testing S.N SUBJECT SUBJECT NAME DATE O CODE 1 IT6701 Information Management Cryptography and Network 2 CS Security Data Ware Housing and Data 3 IT Mining 4 CS6703 Grid and Cloud Computing IT6004 Software Testing UNIT TEST-II
4 S.N SUBJECT SUBJECT NAME DATE O CODE 1 IT6701 Information Management Cryptography and Network CS6701 Security Data Ware Housing and Data IT6702 Mining 4 CS6703 Grid and Cloud Computing IT6004 Software Testing PRE-MODEL EXAM S.N SUBJECT SUBJECT NAME DATE O CODE 1 IT6701 Information Management Cryptography and Network CS6701 Security Data Ware Housing and Data IT6702 Mining 4 CS6703 Grid and Cloud Computing IT6004 Software Testing MODEL EXAM
5 4. Show the virtual machine migration based on the certain condition from one node to the other. 5. Find procedure to install storage controller and interact with it. 6. Find procedure to set up the one node Hadoop cluster. 7. Mount the one node Hadoop cluster using FUSE. 8. Write a program to use the API's of Hadoop to interact with it. 9. Write a word count program to demonstrate the use of Map and Reduce tasks. LAB EQUIPMENT FOR A BATCH OF 30 STUDENTS: SOFTWARE: Globus Toolkit or equivalent Eucalyptus or Open Nebula or equivalent to HARDWARE Standalone desktops 30 Nos IT6701 INFORMATION MANAGEMENT
6 WEEK I: UNIT I IT6713 GRID AND CLOUD COMPUTING LABORATORY Database design and modelling - Business Rules and Relationship; Java database Connectivity (JDBC) WEEK II: Database connection Manager, Stored Procedures. Trends in Big Data systems including NoSQL - Hadoop HDFS, MapReduce, Hive, and enhancements. WEEK III: UNIT TEST- I WEEK IV: UNIT II Program Security, Malicious code and controls against threats; OS level protection; Security Firewalls. WEEK V: Network Security Intrusion detection systems. Data Privacy principles. Data Privacy Laws and compliance. WEEK VI: UNIT TEST -II WEEK VII: UNIT III Master Data Management (MDM) Overview, Need for MDM, Privacy, regulatory requirements and compliance. WEEK VIII: Data Governance Synchronization and data quality. WEEK IX: Model Exam LIST OF EXPERIMENTS: GRID COMPUTING LAB: Use Globus Toolkit or equivalent and do the following: 1. Develop a new Web Service for Calculator. 2. Develop new OGSA-compliant Web Service. 3. Using Apache Axis develop a Grid Service. 4. Develop applications using Java or C/C++ Grid APIs 5. Develop secured applications using basic security mechanisms available in Globus Toolkit. 6. Develop a Grid portal, where user can submit a job and get the result. Implement it with and without GRAM concept. CLOUD COMPUTING LAB: Use Eucalyptus or Open Nebula or equivalent to set up the cloud and demonstrate. 1. Find procedure to run the virtual machine of different configuration. Check how many virtual machines can be utilized at particular time. 2. Find procedure to attach virtual block to the virtual machine and check whether it holds the data even after the release of the virtual machine. 3. Install a C compiler in the virtual machine and execute a sample program.
7 4. Demonstrate how to provide secure data storage, secure data transmission and for creating digital signatures (GnuPG). 5. Setup a honey pot and monitor the honeypot on network (KF Sensor) 6. Installation of rootkits and study about the variety of options 7. Perform wireless audit on an access point or a router and decrypt WEP and WPA.( Net Stumbler) 8. Demonstrate intrusion detection system (ids) using any tool (snort or any other s/w) LAB EQUIPMENTS FOR A BATCH OF 30 STUDENTS: SOFTWARE: C / C++ / Java or equivalent compiler GnuPG, KF Sensor or Equivalent, Snort, Net Stumbler or Equivalent HARDWARE: Server supporting 30 terminals or more. WEEK X: UNIT IV Principles of Information architecture and framework, Organizing information WEEK XI: Navigation systems and Labelling systems, Conceptual design, Granularity of Content. WEEK XII: UNIT TEST-IV WEEK XIII: UNIT V Data retention policies; Confidential and Sensitive data handling, lifecycle management costs. Archive data using Hadoop. WEEK XIV: Testing and delivering big data applications for performance and functionality; Challenges with data administration WEEK XV: UNIT TEST V WEEK XVI: REVISION ALL FIVE UNIT WEEK XVII: MODEL EXAM WEEK XVIII & XIX: ICD CLASSES & MODEL PRACTICAL EXAM TEXT BOOK: 1. Alex Berson, Larry Dubov MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E, Tata McGraw Hill, Security in Computing, 4/E, Charles P. Pfleeger, Shari Lawrence Pfleeger, Prentice Hall; 200
8 3. Information Architecture for the World Wide Web; Peter Morville, Louis Rosenfeld ; O'Reilly Media; 1998 REFERENCES: 1. Jeffrey A. Hoffer, Heikki Topi, V Ramesh - MODERN DATABASE MANAGEMENT, 10 Edition, PEARSON, Next Gen databases that are distributed, open source and scalable LAB EQUIPMENT FOR A BATCH OF 30 STUDENTS: SOFTWARE: WEKA, RapidMiner, DB Miner or Equivalent HARDWARE Standalone desktops 30 Nos Four dimensions of big data and other ebooks on Big Data Analytics IT6712 SECURITY LABORATORY 4. Inside Cyber Warfare: Mapping the Cyber Underworld- Jeffrey Carr, O'Reilly Media; Second Edition 2011 CS6701 WEEK I: UNIT I CRYPTOGRAPHY AND NETWORK SECURITY Services, Mechanisms and attacks-the OSI security architecture- Network security model-classical Encryption techniques (Symmetric cipher model, substitution techniques, transposition techniques, steganography). WEEK II: FINITE FIELDS AND NUMBER THEORY: Groups, Rings, Fields-Modular arithmetic-euclid s algorithm-finite fields- Polynomial Arithmetic Prime numbers-fermat s LIST OF EXPERIMENTS 1. Implement the following SUBSTITUTION & TRANSPOSITION TECHNIQUES concepts: a) Caesar Cipher b) Playfair Cipher c) Hill Cipher d) Vigenere Cipher Rail fence row & Column Transformation 2. Implement the following algorithms a) DES b) RSA Algorithm c) Diffiee-Hellman d) MD5 e) SHA-1 3 Implement the SIGNATURE SCHEME - Digital Signature Standard
9 2. Ron Patton, Software Testing, Second Edition, Sams Publishing, Pearson Education, REFERENCES: 1. Ilene Burnstein, Practical Software Testing, Springer International Edition, Edward Kit, Software Testing in the Real World Improving the Process, Pearson Education, Boris Beizer, Software Testing Techniques 2 nd Edition, Van Nostrand Reinhold, New York, Aditya P. Mathur, Foundations of Software Testing _ Fundamental Algorithms and Techniques, Dorling Kindersley (India) Pvt. Ltd., Pearson Education, IT6711 DATA MINING LABORATORY LIST OF EXPERIMENTS: 1. Creation of a Data Warehouse. 2. Apriori Algorithm. 3. FP-Growth Algorithm. 4. K-means clustering. 5. One Hierarchical clustering algorithm. 6. Bayesian Classification. 7. Decision Tree. 8. Support Vector Machines. 9. Applications of classification for web mining. Case Study on Text Mining or any commercial application and Euler s theorem-testing for primality -The Chinese remainder theorem- Discrete logarithms. WEEK III: UNIT TEST- I WEEK IV: UNIT II Data Encryption Standard-Block cipher principles-block cipher modes of operation-advanced Encryption Standard (AES)-Triple DES-Blowfish-RC5 algorithm. WEEK V: Public key cryptography: Principles of public key cryptosystems-the RSA algorithm-key management - Diffie Hellman Key exchange-elliptic curve arithmetic- Elliptic curve cryptography. WEEK VI: UNIT TEST -II WEEK VII: UNIT III Authentication requirement Authentication function MAC Hash function Security of hash function and MAC MD5 - SHA - HMAC CMAC. WEEK VIII: Digital signature and authentication protocols DSS EI Gamal Schnorr. WEEK IX: Model Exam WEEK X: UNIT IV Authentication applications Kerberos X.509 Authentication services - Internet Firewalls for Trusted System: Roles of Firewalls Firewall related terminology- Types of Firewalls - Firewall designs
10 SET for E-Commerce Transactions. Intruder WEEK XI: Intrusion detection system Virus and related threats Countermeasures Firewalls design principles Trusted systems Practical implementation of cryptography and security. WEEK XII: UNIT TEST-IV WEEK XIII: UNIT V Security: Security Services for -attacks possible through - establishing keys privacy-authentication of the source-message Integrity-Non-repudiation-Pretty Good Privacy- S/MIME. IPSecurity: Overview of IPSec - IP and IPv6- Authentication Header-Encapsulation Security Payload (ESP)- Internet Key Exchange (Phases of IKE, ISAKMP/IKE Encoding). WEEK XIV: Web Security: SSL/TLS Basic Protocol-computing the keysclient authentication-pki as deployed by SSLAttacks fixed in v3-exportability-encoding-secure Electronic Transaction (SET). WEEK XV: UNIT TEST V WEEK XVI: REVISION ALL FIVE UNIT WEEK XVII: MODEL EXAM WEEK XVIII & XIX: ICD CLASSES & MODEL PRACTICAL EXAM TEXT BOOKS: 1. William Stallings, Cryptography and Network Security, 6 th Edition, Pearson Education, March (UNIT I,II,III,IV). services Test Planning Test Plan Components Test Plan Attachments Locating Test Items test management test process Reporting Test Results WEEK XI: The role of three groups in Test Planning and Policy Development Introducing the test specialist Skills needed by a test specialist Building a Testing Group. WEEK XII: UNIT TEST-IV WEEK XIII: UNIT V Software Needed for automation-test automation-skills Needed Scope of automation- Design and architecture for automation WEEK XIV: requirements for a test tool challenges in automation Test metrics and measurements project, progress and productivity metrics. WEEK XV: UNIT TEST V WEEK XVI: REVISION ALL FIVE UNIT WEEK XVII: MODEL EXAM WEEK XVIII & XIX: ICD CLASSES & MODEL PRACTICAL EXAM TEXT BOOKS: 1. Srinivasan Desikan and Gopalaswamy Ramesh, Software Testing Principles and Practices, Pearson
11 Education, WEEK V: domain testing Using White Box Approach to Test design Test Adequacy Criteria static testing vs. structural testing code functional testing Coverage and Control Flow Graphs Covering Code Logic Paths code complexity testing Evaluating Test Adequacy Criteria. WEEK VI: UNIT TEST -II The need for Levers of Testing Unit Test Unit Test Planning Designing the Unit Tests The Test Harness Running the Unit tests and Recording results Integration tests Designing Integration Tests Integration Test Planning Scenario testing Defect bash elimination System Testing. WEEK VIII: Acceptance testing Performance testing Regression Testing Internationalization testing Ad-hoc testing Alpha, Beta Tests Testing OO systems Usability and Accessibility testing Configuration testing Compatibility testing Testing the documentation Website testing. WEEK IX: Model Exam WEEK X: UNIT IV People and organizational issues in testing Organization structures for testing teams testing 2. Charlie Kaufman, Radia Perlman and Mike Speciner, Network Security, Prentice Hall of India, (UNIT V). REFERENCES: 1. Behrouz A. Ferouzan, Cryptography & Network Security, Tata Mc Graw Hill, Man Young Rhee, Internet Security: Cryptographic Principles, Algorithms and Protocols, Wiley Publications, Charles Pfleeger, Security in Computing, 4 th Edition, Prentice Hall of India, Ulysess Black, Internet Security Protocols, Pearson Education Asia, Charlie Kaufman and Radia Perlman, Mike Speciner, Network Security, Second Edition, Private Communication in Public World, PHI Bruce Schneier and Neils Ferguson, Practical Cryptography, First Edition, Wiley Dreamtech India Pvt Ltd, Douglas R Simson Cryptography Theory and practice, First Edition, CRC Press, IT6702 WEEK I: UNIT I DATA WAREHOUSING AND DATA MINING Data warehousing Components Building a Data warehouse - Mapping the Data Warehouse to a Multiprocessor Architecture
12 WEEK II: DBMS Schemas for Decision Support Data Extraction, Cleanup, and Transformation Tools Metadata. WEEK III: UNIT TEST- I WEEK IV: UNIT II Reporting and Query tools and Applications Tool Categories The Need for Applications Cognos Impromptu Online Analytical Processing (OLAP) WEEK V: Need Multidimensional Data Model OLAP Guidelines Multidimensional versus Multirelational OLAP Categories of Tools OLAP Tools and the Internet. WEEK VI: UNIT TEST -II WEEK VII: UNIT III 1. Frederic Magoules and Jie Pan, Introduction to Grid Computing CRC Press, Daniel Minoli, A Networking Approach to Grid Computing, John Wiley Publication, Barry Wilkinson, Grid Computing: Techniques and Applications, Chapman and Hall, CRC, Taylor and Francis Group, IT6004 SOFTWARE TESTING WEEK I: UNIT I Testing as an Engineering Activity Testing as a Process Testing axioms Basic definitions Software Testing Principles The Tester s Role in a Software Development Organization Origins of Defects WEEK II: Cost of defects Defect Classes The Defect Repository and Introduction Data Types of Data Data Mining Functionalities Interestingness Test Design Defect of Examples Developer/Tester Support of Patterns Classification of Data Mining Systems Data Mining Task Primitives Integration Developing a Defect Repository Defect Prevention of a Data Mining strategies. WEEK VIII: WEEK III: UNIT TEST- I System with a Data Warehouse Issues Data Preprocessing. WEEK IV: UNIT II WEEK IX: Model Exam Test case Design Strategies Using Black Bod Approach to Test WEEK X: UNIT IV Case Design Random Testing Requirements based testing Mining Frequent Patterns, Associations and Correlations Mining Boundary Value Analysis Equivalence Class Partitioning State-
13 WEEK VII: UNIT III WEEK XII: UNIT TEST-IV WEEK XIII: UNIT V Data retention policies; Confidential and Sensitive data handling, lifecycle management costs. Archive data using Hadoop. WEEK XIV: Testing and delivering big data applications for performance and functionality; Challenges with data administration WEEK XV: UNIT TEST V WEEK XVI: REVISION ALL FIVE UNIT WEEK XVII: MODEL EXAM WEEK XVIII & XIX: ICD CLASSES & MODEL PRACTICAL EXAM TEXT BOOK: 1. Kai Hwang, Geoffery C. Fox and Jack J. Dongarra, Distributed and Cloud Computing: Clusters, Grids, Clouds and the Future of Internet, First Edition, Morgan Kaufman Publisher, an Imprint of Elsevier, REFERENCES: 3. Jason Venner, Pro Hadoop- Build Scalable, Distributed Applications in the Cloud, A Press, Tom White, Hadoop The Definitive Guide, First Edition. O Reilly, Bart Jacob (Editor), Introduction to Grid Computing, IBM Red Books, Vervante, Ian Foster, Carl Kesselman, The Grid: Blueprint for a New Computing Infrastructure, 2 nd Edition, Morgan Kaufmann. Methods Mining various Kinds of Association Rules Correlation Analysis Constraint Based Association Mining Classification and Prediction - Basic Concepts - Decision Tree Induction WEEK XI: Bayesian Classification Rule Based Classification Classification by Back propagation Support Vector Machines Associative Classification Lazy Learners Other Classification Methods Prediction. WEEK XII: UNIT TEST-IV WEEK XIII: UNIT V Cluster Analysis - Types of Data Categorization of Major Clustering Methods K-means Partitioning Methods Hierarchical Methods - Density-Based Methods Grid Based Methods WEEK XIV: Model-Based Clustering Methods Clustering High Dimensional Data - Constraint Based Cluster Analysis Outlier Analysis Data Mining Applications. WEEK XV: UNIT TEST V WEEK XVI: REVISION ALL FIVE UNIT WEEK XVII: MODEL EXAM WEEK XVIII & XIX: ICD CLASSES & MODEL PRACTICAL EXAM TEXT BOOKS: 1. Alex Berson and Stephen J.Smith, Data Warehousing, Data Mining and OLAP, Tata McGraw
14 Hill Edition, Thirteenth Reprint Jiawei Han and Micheline Kamber, Data Mining Concepts and Techniques, Third Edition, Elsevier, REFERENCES: 1. Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining, Person Education, K.P. Soman, Shyam Diwakar and V. Aja, Insight into Data Mining Theory and Practice, Eastern Economy Edition, Prentice Hall of India, G. K. Gupta, Introduction to Data Mining with Case Studies, Eastern Economy Edition, Prentice Hall of India, Daniel T.Larose, Data Mining Methods and Models, Wiley-Interscience, CS6703 WEEK I: UNIT I GRID AND CLOUD COMPUTING Evolution of Distributed computing: Scalable computing over the Internet Technologies for network based systems clusters of cooperative computers - Grid computing Infrastructures WEEK II: cloud computing - service oriented architecture Introduction to Grid Architecture and standards Elements of Grid Overview of Grid Architecture. WEEK III: UNIT TEST- I WEEK IV: UNIT II Introduction to Open Grid Services Architecture (OGSA) Motivation Functionality Requirements WEEK V: Practical & Detailed view of OGSA/OGSI Data intensive grid service models OGSA services. WEEK VI: UNIT TEST -II WEEK VII: UNIT III Cloud deployment models: public, private, hybrid, community Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing WEEK VIII: Implementation levels of virtualization virtualization structure virtualization of CPU, Memory and I/O devices virtual clusters and Resource Management Virtualization for data center automation. WEEK IX: Model Exam WEEK X: UNIT IV Open source grid middleware packages Globus Toolkit (GT4) Architecture, Configuration Usage of Globus Main components and Programming model - Introduction to Hadoop Framework - Mapreduce, Input splitting, map and reduce functions. WEEK XI: specifying input and output parameters, configuring and running a job Design of Hadoop file system, HDFS concepts, command line and java interface, dataflow of
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