Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware detection. Integrating theory with practical techniques and experimental results, it focuses on malware detection applications for email worms, malicious code, remote exploits, and botnets.

The authors describe the systems they have designed and developed: email worm detection using data mining, a scalable multi-level feature extraction technique to detect malicious executables, detecting remote exploits using data mining, and flow-based identification of botnet traffic by mining multiple log files. For each of these tools, they detail the system architecture, algorithms, performance results, and limitations.

• Discusses data mining for emerging applications, including adaptable malware detection, insider threat detection, firewall policy analysis, and real-time data mining
• Includes four appendices that provide a firm foundation in data management, secure systems, and the semantic web
• Describes the authors tools for stream data mining

From algorithms to experimental results, this is one of the few books that will be equally valuable to those in industry, government, and academia. It will help technologists decide which tools to select for specific applications, managers will learn how to determine whether or not to proceed with a data mining project, and developers will find innovative alternative designs for a range of applications.

This book addresses a timely and compelling emerging issue related to the conservation and sustainable use of marine resources and the sustainable development of the coastal community. Marine protected areas (MPAs) make a remarkable contribution to the protection of marine communities by providing sustainable livelihoods, deriving financial benefits from the development of fisheries and tourism, as well as by restoring ocean productivity and preventing further environmental degradation. These areas have been considered the cornerstone of a blue economy due to their substantial economic, social and environmental contributions. However, MPAs around the world are severely hampered by a multitude of issues and challenges such as inefficient management, poor socioeconomic conditions and environmental degradation due to human activities, overexploitation of marine resources, degradation of water quality, massive waste production and climate change. These are the main obstacles to economic, social and environmental sustainability. Hence, a collaborative management approach and an integrated management policy framework is urgently needed for the economic, social, political, cultural, technological, and ecological development of coastal communities.

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

This book addresses a timely and compelling emerging issue related to the conservation and sustainable use of marine resources and the sustainable development of the coastal community. Marine protected areas (MPAs) make a remarkable contribution to the protection of marine communities by providing sustainable livelihoods, deriving financial benefits from the development of fisheries and tourism, as well as by restoring ocean productivity and preventing further environmental degradation. These areas have been considered the cornerstone of a blue economy due to their substantial economic, social and environmental contributions. However, MPAs around the world are severely hampered by a multitude of issues and challenges such as inefficient management, poor socioeconomic conditions and environmental degradation due to human activities, overexploitation of marine resources, degradation of water quality, massive waste production and climate change. These are the main obstacles to economic, social and environmental sustainability. Hence, a collaborative management approach and an integrated management policy framework is urgently needed for the economic, social, political, cultural, technological, and ecological development of coastal communities.