ATM Network Performance describes a unified approach to ATM network management. The focus is on satisfying quality-of-service requirements for individual B-ISDN connections. For an ATM network of output-buffer switches, the author describes how the basic network resources (switch buffer memory and link transmission bandwidth) should be allocated to achieve the required quality-of-service connections. The performance of proposed bandwidth scheduling policies is evaluated. Both single node and end-to-end performance results are given. In particular, these results are applied to resource provisioning problems for prerecorded (stored) video and video teleconferencing. The flow control problem for available bit rate traffic is also described. This book is intended for a one-term course in performance of Broadband Integrated-Services Digital Networks (B-ISDNs) based on a type of packet-switched communication network called Asynchronous Transfer Mode (ATM). The level of presentation is at the first year of graduate studies and for professionals working in the field, but it may be accessible to senior undergraduates as well. Some familiarity with ATM standards is assumed as such standards are only briefly outlined. All of the required background in discrete-time queueing theory is supplied. Exercises are given at the end of chapters. Solutions and/or hints to selected exercises are given in an Appendix.

ATM Network Performance, Second Edition, describes approaches to computer and communication network management at the ATM layer of the protocol hierarchy. The focus is on satisfying quality-of-service requirements for individual connections. Results in both areas of bandwidth scheduling and traffic control are explained. Recent results in end-to-end performance, provisioning for video connections and statistical multiplexing are also described. All of the material has been updated where appropriate and new references added and expanded. Timely updates: Entirely new chapter on ATM switches with an emphasis on scalable-to-terabit switching. New material on round-robin scheduling, jitter control, QoS paradigms as well as special treatment of fluid modeling and variable bit rate channel capacity. Expanded coverage of CBR channels, IP over ATM, and guaranteed-rate performance. Substantial increase in end-of-chapter exercises. Solutions for selected exercises in separate appendix. Complete solutions for all exercises also available from author.

This volume presents the refereed proceedings of the 7th International ICST Conference on Security and Privacy in Communication Networks, SecureComm 2011, held in London, UK, in September 2011. The 35 revised papers included in the volume were carefully reviewed and selected from numerous submissions. Topics covered include network intrusion detection; anonymity and privacy; wireless security; system security; DNS and routing security; and key management.

ATM Network Performance describes a unified approach to ATM network management. The focus is on satisfying quality-of-service requirements for individual B-ISDN connections. For an ATM network of output-buffer switches, the author describes how the basic network resources (switch buffer memory and link transmission bandwidth) should be allocated to achieve the required quality-of-service connections. The performance of proposed bandwidth scheduling policies is evaluated. Both single node and end-to-end performance results are given. In particular, these results are applied to resource provisioning problems for prerecorded (stored) video and video teleconferencing. The flow control problem for available bit rate traffic is also described. This book is intended for a one-term course in performance of Broadband Integrated-Services Digital Networks (B-ISDNs) based on a type of packet-switched communication network called Asynchronous Transfer Mode (ATM). The level of presentation is at the first year of graduate studies and for professionals working in the field, but it may be accessible to senior undergraduates as well. Some familiarity with ATM standards is assumed as such standards are only briefly outlined. All of the required background in discrete-time queueing theory is supplied. Exercises are given at the end of chapters. Solutions and/or hints to selected exercises are given in an Appendix.

ATM Network Performance, Second Edition, describes approaches to computer and communication network management at the ATM layer of the protocol hierarchy. The focus is on satisfying quality-of-service requirements for individual connections. Results in both areas of bandwidth scheduling and traffic control are explained. Recent results in end-to-end performance, provisioning for video connections and statistical multiplexing are also described. All of the material has been updated where appropriate and new references added and expanded. Timely updates: * Entirely new chapter on ATM switches with an emphasis on scalable-to-terabit switching. * New material on round-robin scheduling, jitter control, QoS paradigms as well as special treatment of fluid modeling and variable bit rate channel capacity. * Expanded coverage of CBR channels, IP over ATM, and guaranteed-rate performance. * Substantial increase in end-of-chapter exercises. Solutions for selected exercises in separate appendix. Complete solutions for all exercises also available from author.

Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples. Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills. Book chapters conclude with questions that can be used for classroom discussions. In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines. Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges. Online resources include lecture slides and image files for instructors, and software for early course projects for students.