ANOMALY DETECTION PRINCIPLES AND ALGORITHMS

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Anomaly Detection Principles And Algorithms

Author : Kishan G. Mehrotra
ISBN : 9783319675268
Genre : Computers
File Size : 62.73 MB
Format : PDF
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This book provides a readable and elegant presentation of the principles of anomaly detection,providing an easy introduction for newcomers to the field. A large number of algorithms are succinctly described, along with a presentation of their strengths and weaknesses. The authors also cover algorithms that address different kinds of problems of interest with single and multiple time series data and multi-dimensional data. New ensemble anomaly detection algorithms are described, utilizing the benefits provided by diverse algorithms, each of which work well on some kinds of data. With advancements in technology and the extensive use of the internet as a medium for communications and commerce, there has been a tremendous increase in the threats faced by individuals and organizations from attackers and criminal entities. Variations in the observable behaviors of individuals (from others and from their own past behaviors) have been found to be useful in predicting potential problems of various kinds. Hence computer scientists and statisticians have been conducting research on automatically identifying anomalies in large datasets. This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.
Category: Computers

Engineering Applications Of Neural Networks

Author : John Macintyre
ISBN : 9783030202576
Genre : Computers
File Size : 44.38 MB
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This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.
Category: Computers

Outlier Detection Techniques And Applications

Author : N. N. R. Ranga Suri
ISBN : 9783030051273
Genre : Technology & Engineering
File Size : 78.90 MB
Format : PDF, Kindle
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This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.
Category: Technology & Engineering

Artificial Intelligence And Evolutionary Algorithms In Engineering Systems

Author : L. Padma Suresh
ISBN : 9788132221265
Genre : Computers
File Size : 41.94 MB
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The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.
Category: Computers

Artificial Immune Systems

Author : Christian Jacob
ISBN : 9783540281757
Genre : Computers
File Size : 37.48 MB
Format : PDF, Docs
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This book constitutes the refereed proceedings of the 4th International Conference on Artificial Immune Systems, ICARIS 2005, held in Banff, Alberta, Canada, in August 2005. The 37 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on conceptual, formal, and theoretical frameworks, immunoinformatics, theoretical and experimental studies on artificial immune systems, and applications of artificial immune systems.
Category: Computers

Recent Advances In Intrusion Detection

Author : Richard Lippmann
ISBN : 9783540874034
Genre : Business & Economics
File Size : 28.44 MB
Format : PDF
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On behalf of the Program Committee, it is our pleasure to present the p- ceedings of the 11th International Symposium on Recent Advances in Intrusion Detection (RAID 2008), which took place in Cambridge, Massachusetts, USA on September 15–17. The symposium brought together leading researchers and practitioners from academia, government and industry to discuss intrusion detection research and practice. There were six main sessions presenting full-?edged research papers (rootkit prevention, malware detection and prevention, high performance - trusion and evasion, web application testing and evasion, alert correlation and worm detection, and anomaly detection and network tra?c analysis), a session ofpostersonemergingresearchareasandcasestudies,andtwopaneldiscussions (“Government Investments: Successes, Failures and the Future” and “Life after Antivirus - What Does the Future Hold?”). The RAID 2008 Program Committee received 80 paper submissions from all over the world. All submissions were carefully reviewed by at least three independent reviewers on the basis of space, topic, technical assessment, and overallbalance.FinalselectiontookplaceattheProgramCommitteemeetingon May 23rd in Cambridge, MA. Twenty papers were selected for presentation and publication in the conference proceedings, and four papers were recommended for resubmission as poster presentations. As a new feature this year, the symposium accepted submissions for poster presentations,whichhavebeen publishedas extendedabstracts,reportingear- stageresearch,demonstrationofapplications,orcasestudies.Thirty-nineposters were submitted for a numerical review by an independent, three-person s- committee of the Program Committee based on novelty, description, and ev- uation. The subcommittee chose to recommend the acceptance of 16 of these posters for presentation and publication.
Category: Business & Economics

Machine Learning In Cyber Trust

Author : Jeffrey J. P. Tsai
ISBN : 9780387887357
Genre : Computers
File Size : 27.39 MB
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Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work. Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.
Category: Computers

Individual And Collective Graph Mining

Author : Danai Koutra
ISBN : 9781681730400
Genre : Computers
File Size : 27.99 MB
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Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, such as an attack on a computer system, disease formation in the human brain, or the fall of a company? This book presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, we also contribute graph-theoretical ideas and models, and real-world applications in two main areas: •Individual Graph Mining: We show how to interpretably summarize a single graph by identifying its important graph structures. We complement summarization with inference, which leverages information about few entities (obtained via summarization or other methods) and the network structure to efficiently and effectively learn information about the unknown entities. •Collective Graph Mining: We extend the idea of individual-graph summarization to time-evolving graphs, and show how to scalably discover temporal patterns. Apart from summarization, we claim that graph similarity is often the underlying problem in a host of applications where multiple graphs occur (e.g., temporal anomaly detection, discovery of behavioral patterns), and we present principled, scalable algorithms for aligning networks and measuring their similarity. The methods that we present in this book leverage techniques from diverse areas, such as matrix algebra, graph theory, optimization, information theory, machine learning, finance, and social science, to solve real-world problems. We present applications of our exploration algorithms to massive datasets, including a Web graph of 6.6 billion edges, a Twitter graph of 1.8 billion edges, brain graphs with up to 90 million edges, collaboration, peer-to-peer networks, browser logs, all spanning millions of users and interactions.
Category: Computers

Artificial Immune Systems

Author : Carlos A. Coello-Coello
ISBN : 9783642337574
Genre : Computers
File Size : 35.86 MB
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This book constitutes the refereed proceedings of the 11th International Conference on Artificial Immune Systems, ICARIS 2012, held in Taormia, Italy, in August 2012. The 19 revised selected papers presented were carefully reviewed and selected for inclusion in this book. In addition 4 papers of the workshop on bio and immune inspired algorithms and models for multi-level complex systems are included in this volume. Artificial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology, biology, medical science, computer science, physics, mathematics and engineering. The scope of AIS ranges from modelling and simulation of the immune system through to immune-inspired algorithms and in silico, in vitro and in vivo solutions.
Category: Computers

Principles Of Data Mining And Knowledge Discovery

Author : Jan Komorowski
ISBN : 3540632239
Genre : Business & Economics
File Size : 37.87 MB
Format : PDF, ePub
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This book constitutes the refereed proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, PKDD '97, held in Trondheim, Norway, in June 1997. The volume presents a total of 38 revised full papers together with abstracts of one invited talk and four tutorials. Among the topics covered are data and knowledge representation, statistical and probabilistic methods, logic-based approaches, man-machine interaction aspects, AI contributions, high performance computing support, machine learning, automated scientific discovery, quality assessment, and applications.
Category: Business & Economics