Is Scada Hard To Learn
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Handbook of SCADA/Control Systems Security
The availability and security of many services we rely upon—including water treatment, electricity, healthcare, transportation, and financial transactions—are routinely put at risk by cyber threats. The Handbook of SCADA/Control Systems Security is a fundamental outline of security concepts, methodologies, and relevant information pertaining to the supervisory control and data acquisition (SCADA) systems and technology that quietly operate in the background of critical utility and industrial facilities worldwide. Divided into five sections, the book examines topics comprising functions within and throughout industrial control systems (ICS) environments. Topics include: Emerging trends and threat factors that plague the ICS security community Risk methodologies and principles that can be applied to safeguard and secure an automated operation Methods for determining events leading to a cyber incident, and methods for restoring and mitigating issues—including the importance of critical communications The necessity and reasoning behind implementing a governance or compliance program A strategic roadmap for the development of a secured SCADA/control systems environment, with examples Relevant issues concerning the maintenance, patching, and physical localities of ICS equipment How to conduct training exercises for SCADA/control systems The final chapters outline the data relied upon for accurate processing, discusses emerging issues with data overload, and provides insight into the possible future direction of ISC security. The book supplies crucial information for securing industrial automation/process control systems as part of a critical infrastructure protection program. The content has global applications for securing essential governmental and economic systems that have evolved into present-day security nightmares. The authors present a "best practices" approach to securing business management environments at the strategic, tactical, and operational levels.
Handbook of SCADA/Control Systems Security
This comprehensive handbook covers fundamental security concepts, methodologies, and relevant information pertaining to supervisory control and data acquisition (SCADA) and other industrial control systems used in utility and industrial facilities worldwide. Including six new chapters, six revised chapters, and numerous additional figures, photos, and illustrations, it addresses topics in social implications and impacts, governance and management, architecture and modeling, and commissioning and operations. It presents best practices as well as methods for securing a business environment at the strategic, tactical, and operational levels.
Data Exfiltration Threats and Prevention Techniques
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.