Machine Learning Techniques In Masquerader Detection
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Machine Learning: Theory and Applications
| Author | : |
| Publisher | : Newnes |
| Total Pages | : 551 |
| Release | : 2013-05-16 |
| Genre | : Computers |
| ISBN | : 0444538666 |
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques
Artificial Intelligence and Machine Learning Techniques for Civil Engineering
| Author | : Plevris, Vagelis |
| Publisher | : IGI Global |
| Total Pages | : 404 |
| Release | : 2023-06-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1668456443 |
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.
Guide to Vulnerability Analysis for Computer Networks and Systems
| Author | : Simon Parkinson |
| Publisher | : Springer |
| Total Pages | : 381 |
| Release | : 2018-09-04 |
| Genre | : Computers |
| ISBN | : 3319926241 |
This professional guide and reference examines the challenges of assessing security vulnerabilities in computing infrastructure. Various aspects of vulnerability assessment are covered in detail, including recent advancements in reducing the requirement for expert knowledge through novel applications of artificial intelligence. The work also offers a series of case studies on how to develop and perform vulnerability assessment techniques using start-of-the-art intelligent mechanisms. Topics and features: provides tutorial activities and thought-provoking questions in each chapter, together with numerous case studies; introduces the fundamentals of vulnerability assessment, and reviews the state of the art of research in this area; discusses vulnerability assessment frameworks, including frameworks for industrial control and cloud systems; examines a range of applications that make use of artificial intelligence to enhance the vulnerability assessment processes; presents visualisation techniques that can be used to assist the vulnerability assessment process. In addition to serving the needs of security practitioners and researchers, this accessible volume is also ideal for students and instructors seeking a primer on artificial intelligence for vulnerability assessment, or a supplementary text for courses on computer security, networking, and artificial intelligence.
Advances in Computing and Communications, Part II
| Author | : Ajith Abraham |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 744 |
| Release | : 2011-07-08 |
| Genre | : Computers |
| ISBN | : 3642227139 |
This volume is the second part of a four-volume set (CCIS 190, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed proceedings of the First International Conference on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 72 revised full papers presented in this volume were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on database and information systems; distributed software development; human computer interaction and interface; ICT; internet and Web computing; mobile computing; multi agent systems; multimedia and video systems; parallel and distributed algorithms; security, trust and privacy.
Enhancing Computer Security with Smart Technology
| Author | : V. Rao Vemuri |
| Publisher | : CRC Press |
| Total Pages | : 288 |
| Release | : 2005-11-21 |
| Genre | : Computers |
| ISBN | : 1420031228 |
Divided into two major parts, Enhancing Computer Security with Smart Technology introduces the problems of computer security to researchers with a machine learning background, then introduces machine learning concepts to computer security professionals. Realizing the massive scope of these subjects, the author concentrates on problems relat
Recent Advances in Intrusion Detection
| Author | : Robin Sommer |
| Publisher | : Springer |
| Total Pages | : 407 |
| Release | : 2012-02-11 |
| Genre | : Computers |
| ISBN | : 3642236448 |
This book constitutes the proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection, RAID 2011, held in Menlo Park, CA, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.
Information and Communication Technology and Applications
| Author | : Sanjay Misra |
| Publisher | : Springer Nature |
| Total Pages | : 746 |
| Release | : 2021-02-13 |
| Genre | : Computers |
| ISBN | : 3030691438 |
This book constitutes revised selected papers from the Third International Conference on Information and Communication Technology and Applications, ICTA 2020, held in Minna, Nigeria, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 67 full papers were carefully reviewed and selected from 234 submissions. The papers are organized in the topical sections on Artificial Intelligence, Big Data and Machine Learning; Information Security Privacy and Trust; Information Science and Technology.
Research Anthology on Machine Learning Techniques, Methods, and Applications
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 1516 |
| Release | : 2022-05-13 |
| Genre | : Computers |
| ISBN | : 1668462923 |
Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.
Machine Learning for Cyber Security
| Author | : Preeti Malik |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 160 |
| Release | : 2022-12-05 |
| Genre | : Business & Economics |
| ISBN | : 3110766744 |
This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.
