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Author: Diego Zamboni
Publisher: Springer
ISBN: 3540397256
Category : Business & Economics
Languages : en
Pages : 341
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Book Description
This book constitutes the refereed proceedings of the 9th International Symposium on Recent Advances in Intrusion Detection, RAID 2006, held in Hamburg, Germany in September 2006. The 16 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis, anomaly- and specification-based detection, and network intrusion detection.
Author: Diego Zamboni
Publisher: Springer
ISBN: 3540397256
Category : Business & Economics
Languages : en
Pages : 341
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Book Description
This book constitutes the refereed proceedings of the 9th International Symposium on Recent Advances in Intrusion Detection, RAID 2006, held in Hamburg, Germany in September 2006. The 16 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis, anomaly- and specification-based detection, and network intrusion detection.
Author: Erland Jonsson
Publisher: Springer Science & Business Media
ISBN: 3540231234
Category : Business & Economics
Languages : en
Pages : 325
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Book Description
This book constitutes the refereed proceedings of the 7th International Symposium on Recent Advances in Intrusion Detection, RAID 2004, held in Sophia Antipolis, France, in September 2004. The 16 revised full papers presented were carefully reviewed and selected from 118 submissions. The papers are organized in topical sections on modelling process behavior, detecting worms and viruses, attack and alert analysis, practical experience, anomaly detection, and formal analysis for intrusion detection.
Author: Roberto Di Pietro
Publisher: Springer Science & Business Media
ISBN: 0387772669
Category : Computers
Languages : en
Pages : 265
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Book Description
To defend against computer and network attacks, multiple, complementary security devices such as intrusion detection systems (IDSs), and firewalls are widely deployed to monitor networks and hosts. These various IDSs will flag alerts when suspicious events are observed. This book is an edited volume by world class leaders within computer network and information security presented in an easy-to-follow style. It introduces defense alert systems against computer and network attacks. It also covers integrating intrusion alerts within security policy framework for intrusion response, related case studies and much more.
Author:
Publisher:
ISBN:
Category : Computer security
Languages : en
Pages : 352
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Book Description
Author: Gupta, Brij B.
Publisher: IGI Global
ISBN: 1799822435
Category : Computers
Languages : en
Pages : 407
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Book Description
Businesses in today’s world are adopting technology-enabled operating models that aim to improve growth, revenue, and identify emerging markets. However, most of these businesses are not suited to defend themselves from the cyber risks that come with these data-driven practices. To further prevent these threats, they need to have a complete understanding of modern network security solutions and the ability to manage, address, and respond to security breaches. The Handbook of Research on Intrusion Detection Systems provides emerging research exploring the theoretical and practical aspects of prominent and effective techniques used to detect and contain breaches within the fields of data science and cybersecurity. Featuring coverage on a broad range of topics such as botnet detection, cryptography, and access control models, this book is ideally designed for security analysts, scientists, researchers, programmers, developers, IT professionals, scholars, students, administrators, and faculty members seeking research on current advancements in network security technology.
Author: Herve Debar
Publisher: Springer
ISBN: 3540399453
Category : Computers
Languages : en
Pages : 237
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Book Description
Since 1998, RAID has established its reputation as the main event in research on intrusion detection, both in Europe and the United States. Every year, RAID gathers researchers, security vendors and security practitioners to listen to the most recent research results in the area as well as experiments and deployment issues. This year, RAID has grown one step further to establish itself as a well-known event in the security community, with the publication of hardcopy proceedings. RAID 2000 received 26 paper submissions from 10 countries and 3 continents. The program committee selected 14 papers for publication and examined 6 of them for presentation. In addition RAID 2000 received 30 extended abstracts proposals; 15 of these extended abstracts were accepted for presentation. - tended abstracts are available on the website of the RAID symposium series, http://www.raid-symposium.org/. We would like to thank the technical p- gram committee for the help we received in reviewing the papers, as well as all the authors for their participation and submissions, even for those rejected. As in previous RAID symposiums, the program alternates between fun- mental research issues, such as newtechnologies for intrusion detection, and more practical issues linked to the deployment and operation of intrusion det- tion systems in a real environment. Five sessions have been devoted to intrusion detection technology, including modeling, data mining and advanced techniques.
Author: Ali Ismail Awad
Publisher: John Wiley & Sons
ISBN: 1119607744
Category : Technology & Engineering
Languages : en
Pages : 340
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Book Description
SECURITY AND PRIVACY IN THE INTERNET OF THINGS Provides the authoritative and up-to-date information required for securing IoT architecture and applications The vast amount of data generated by the Internet of Things (IoT) has made information and cyber security vital for not only personal privacy, but also for the sustainability of the IoT itself. Security and Privacy in the Internet of Things brings together high-quality research on IoT security models, architectures, techniques, and application domains. This concise yet comprehensive volume explores state-of-the-art mitigations in IoT security while addressing important security and privacy challenges across different IoT layers. The book provides timely coverage of IoT architecture, security technologies and mechanisms, and applications. The authors outline emerging trends in IoT security and privacy with a focus on areas such as smart environments and e-health. Topics include authentication and access control, attack detection and prevention, securing IoT through traffic modeling, human aspects in IoT security, and IoT hardware security. Presenting the current body of knowledge in a single volume, Security and Privacy in the Internet of Things: Discusses a broad range of IoT attacks and defense mechanisms Examines IoT security and privacy protocols and approaches Covers both the logical and physical security of IoT devices Addresses IoT security through network traffic modeling Describes privacy preserving techniques in smart cities Explores current threat and vulnerability analyses Security and Privacy in the Internet of Things: Architectures, Techniques, and Applications is essential reading for researchers, industry practitioners, and students involved in IoT security development and IoT systems deployment.
Author: Ali A. Ghorbani
Publisher: Springer Science & Business Media
ISBN: 0387887717
Category : Computers
Languages : en
Pages : 224
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Book Description
Network Intrusion Detection and Prevention: Concepts and Techniques provides detailed and concise information on different types of attacks, theoretical foundation of attack detection approaches, implementation, data collection, evaluation, and intrusion response. Additionally, it provides an overview of some of the commercially/publicly available intrusion detection and response systems. On the topic of intrusion detection system it is impossible to include everything there is to say on all subjects. However, we have tried to cover the most important and common ones. Network Intrusion Detection and Prevention: Concepts and Techniques is designed for researchers and practitioners in industry. This book is suitable for advanced-level students in computer science as a reference book as well.
Author: Alfonso Valdes
Publisher: Springer Science & Business Media
ISBN: 3540317783
Category : Business & Economics
Languages : en
Pages : 360
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Book Description
This book constitutes the refereed proceedings of the 8th International Symposium on Recent Advances in Intrusion Detection held in September 2005. The 15 revised full papers and two practical experience reports were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on worm detection and containment, anomaly detection, intrusion prevention and response, intrusion detection based on system calls and network-based, as well as intrusion detection in mobile and wireless networks.
Author: Kwangjo Kim
Publisher: Springer
ISBN: 9789811314438
Category : Computers
Languages : en
Pages : 79
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Book Description
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.
