Cyber Attack Detection And Prevention
Download Cyber Attack Detection And Prevention PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Cyber Attack Detection And Prevention book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Cyber Attack Detection and Prevention
Author: Dr.S.Borgia Annie Catherine
language: en
Publisher: Leilani Katie Publication
Release Date: 2025-04-08
Dr.S.Borgia Annie Catherine, Assistant Professor, Department of Computer Science, Agurchand Manmull Jain College, Chennai, Tamil Nadu, India. J.Mary Catherine, Assistant Professor and Head, Department of Computer Science, Chevalier T.Thomas Elizabeth College for Women, Chennai, Tamil Nadu, India. M.Monika, Assistant Professor, Department of BCA, Bon Secours Arts and Science College for Women, Mannargudi, Thiruvarur, Tamil Nadu, India.
Cybersecurity for Hospitals and Healthcare Facilities
Learn how to detect and prevent the hacking of medical equipment at hospitals and healthcare facilities. A cyber-physical attack on building equipment pales in comparison to the damage a determined hacker can do if he/she gains access to a medical-grade network as a medical-grade network controls the diagnostic, treatment, and life support equipment on which lives depend. News reports inform us how hackers strike hospitals with ransomware that prevents staff from accessing patient records or scheduling appointments. Unfortunately, medical equipment also can be hacked and shut down remotely as a form of extortion. Criminal hackers will not ask for a $500 payment to unlock an MRI, PET or CT scan, or X-ray machine—they will ask for much more. Litigation is bound to follow and the resulting punitive awards will drive up hospital insurance costs and healthcare costs in general. This will undoubtedly result in increased regulations for hospitals and higher costs for compliance. Unless hospitals and other healthcare facilities take the steps necessary to secure their medical-grade networks, they will be targeted for cyber-physical attack, possibly with life-threatening consequences. Cybersecurity for Hospitals and Healthcare Facilities is a wake-up call explaining what hackers can do, why hackers would target a hospital, the way hackers research a target, ways hackers can gain access to a medical-grade network (cyber-attack vectors), and ways hackers hope to monetize their cyber-attack. By understanding and detecting the threats, you can take action now—before your hospital becomes the next victim. What You Will Learn: Determine how vulnerable hospital and healthcare building equipment is to cyber-physical attack Identify possible ways hackers can hack hospital and healthcare facility equipment Recognize the cyber-attack vectors—or paths by which a hacker or cracker can gain access to a computer, a medical-grade network server, or expensive medical equipment in order to deliver a payload or malicious outcome Detect and prevent man-in-the-middle or denial-of-service cyber-attacks Find and prevent hacking of the hospital database and hospital web application Who This Book Is For: Hospital administrators, healthcare professionals, hospital & healthcare facility engineers and building managers, hospital & healthcare facility IT professionals, and HIPAA professionals
Confluence of AI, Machine, and Deep Learning in Cyber Forensics
Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.