'Linear complexity' presentation slideshows

Stream ciphers 2

Stream ciphers 2. Session 2. Contents. PN generators with LFSRs Statistical testing of PN generator sequences Cryptanalysis of stream ciphers. PN generators with LFSRs.

923 views • 75 slides

Algorithms Complexity and Data Structures Efficiency

Algorithms Complexity and Data Structures Efficiency. Computational Complexity, Choosing Data Structures. Svetlin Nakov. Telerik Corporation. www.telerik.com. Algorithms Complexity and Asymptotic Notation Time and Memory Complexity Mean, Average and Worst Case

614 views • 35 slides

Algorithms Complexity and Data Structures Efficiency

Algorithms Complexity and Data Structures Efficiency. Computational Complexity, Choosing Data Structures. Svetlin Nakov. Telerik Corporation. www.telerik.com. Algorithms Complexity and Asymptotic Notation Time and Memory Complexity Mean, Average and Worst Case

555 views • 35 slides

Stream Ciphers

602 views • 35 slides

Stream Ciphers

751 views • 35 slides

EvoNet Summer School 2001 A Good Presentation

426 views • 33 slides

Stream Cipher

658 views • 33 slides

Stream Cipher

544 views • 33 slides

Stream Cipher

484 views • 33 slides

RC4-Stream Ciphers Blowfish, RC5 Block Ciphers

RC4-Stream Ciphers Blowfish, RC5 Block Ciphers . M. Sakalli, Marmara Univ. Chapter 6 of Cryptography and Network Security by William Stallings Modified from the original slides of Lawrie Brown. K. PRNG. ?. k. E. PT. CT. K. PRNG. ?. k. CT. PT. D. Stream Ciphers.

1.62k views • 30 slides

Linear-Complexity Private Set Intersection Protocols Secure in Malicious Model

ASIACRYPT 2010. December 6, 2010. Linear-Complexity Private Set Intersection Protocols Secure in Malicious Model. Emiliano De Cristofaro 1 , Jihye Kim 2 , and Gene Tsudik 1 1 University of California, Irvine 2 Seoul National University. Outline. Motivation

491 views • 29 slides

Linear-Complexity Private Set Intersection Protocols Secure in Malicious Model

ASIACRYPT 2010. December 6, 2010. Linear-Complexity Private Set Intersection Protocols Secure in Malicious Model. Emiliano De Cristofaro 1 , Jihye Kim 2 , and Gene Tsudik 1 1 University of California, Irvine 2 Seoul National University. Outline. Motivation

349 views • 24 slides

Sequence Form

Sequence Form. Weiran Shi Feb. 6 th , 2014. Outline. Overview Sequence form Computing equilibria Summary. History. Prof. Bernhard von Stengel Introduce sequence form and its application to computing equilibria (1996). Prof. Daphne Koller Similar idea (1992)

302 views • 23 slides

Low Complexity MAC Scheduling Algorithms with Performance Guarantee

Low Complexity MAC Scheduling Algorithms with Performance Guarantee . Soohwan Lee EE, KAIST shlee@lanada.kaist.ac.kr. Hyeon -je Cho Math , KAIST geniijhj@gmail.com. Contents. 1. Introduction 2 . System model 3. RPC (Random Peak and Compare) 4. GMM (Greedy Maximal Matching)

375 views • 22 slides

An Introduction to Stream Ciphers

An Introduction to Stream Ciphers. Zahra Ahmadian Electrical Engineering Department Sahrif University of Technology ahmadian@ee.sharif.ir. Overview . The development of stream ciphers Two types of stream ciphers Synchronizing stream ciphers Self synchronizing stream ciphers

415 views • 20 slides

CMSC 203 / 0201 Fall 2002

308 views • 15 slides

Tutorial on Floorplan Representations

Tutorial on Floorplan Representations. Chung-kuan Cheng Dept. of Computer Science and Engineering, University of California,San Diego La Jolla,CA 92093-0404,USA. Outline. Introduction Types of Floorplans and Representations Twin Binary Trees Relations of Representations Conclusions.

260 views • 13 slides

Solving Complex Problems

Solving Complex Problems. The Towers Of Hanoi. Linear Complexity. Mowing the lawn is a problem that demonstrates linear complexity. If you double the size of the area that you want to mow, it will take twice as long to complete the task. More Complex Problems.

156 views • 6 slides

Homework 5 (Due: 6/27)

Homework 5 (Due: 6/27). Write a Matlab program that can generate the forward and inverse N -point number theoretic transform matrices (modulus M ). [A, B] = NTTm (N, M) % A: forward, B: inverse

129 views • 2 slides