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jahankhani h cyber security practitioner s guide 2020

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Textbook in PDF format In an era of unprecedented volatile political and economic environments across the world, computer-based cyber security systems face ever growing challenges. While the internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber crime. The debate over how to plan for the cyber security of the future has focused the minds of developers and scientists alike. This book aims to provide a reference on current and emerging issues on systems security from the lens of autonomy, artificial intelligence and ethics as the race to fight and prevent cyber crime becomes increasingly pressing. About the Editor Contributors’ Biographies Introduction: It’s Time to Make the Case for Ethics Facets of Performance The Need for a New Dimension Ethics and morals The principal ethical philosophies The Emerging Reality Ethics now The need for pragmatism What Next? Chapter Attack Vectors and the Challenge of Preventing Data Theft Cyber Attack Vectors A brief look at the attack vectors in high profile leaks Overview of the high-profile leaks High profile leaks and insider threat What exfiltration methods are possible on a corporate network? Scope of Discussion on Data Exfiltration Methods Web server attack — SQL injection Cross Site Scripting PowerShell exploits Command and Control Phishing emails Documents with embedded code and other attachments Business Email Compromise Emerging threats: Knock-Knock and Office Exfiltration Methods Exfiltration using DNS aka DNS tunnelling DNS tunnelling tools DNS tunnelling detection Malware using DNS tunnelling The Threat Posed by Web Storage and Web Exfiltration ICMP tunnelling NTP tunnelling The threat posed by email Steganography Dealing with a cyber attack Remediation of Security Breaches Detecting attacks using honeypots Detecting attacks by network monitoring Detection of Security Breaches — Overview Black hat, white hat and grey hat hacking Open-sourcing of security tools Methods and Models for Security and Privacy Methods for security reengineering Privacy-enhancing technologies and trustworthy information systems What Kinds of Products Are There to Prevent Data Theft? Detect and Block Using a Firewall Detect and block using an agent or app at the endpoint Detect and block using a proxy Detect and block using a next-generation firewall Detect and alert using network traffic analysis Detecting sensitive data Recommendations to Protect Against Data Theft The Future — STIX, TAXII and Cyber Threat Intelligence Conclusion on How to Guard Against Attacks and Prevent Data Theft Glossary References Chapter Management of a Cyber Attack Introduction What is a cyber attack? Some cyber attack statistics Security Incident Response from an Organisation’s Viewpoint Creating effective security policies Format and layout of a policy Preparing a security policy Exceptions to policy Cyber incident response plan Security procedures Identification Initial containment Notification Analysis Containment Eradication Recovery Post-incident actions Business Risk and Cyber Insurance — Its Place in Your Cyber Response Toolkit What is risk management? Cyber insurance Conclusion References Chapter Practical Cyber Security for Digital Trains Introduction In Search of Solutions Critical Infrastructure Conclusion Glossary References Chapter An Approach to Identify Risk-Based Human Behaviour Profiling Within an Office Environment Background The target organisation Security Architecture Proximity technology Data source Design approach Insider threat Behaviour Traits Threat Detection Methodology Roles and relationships Zoning Infrastructure features Business areas Locating beacons and aligning with risk areas Mapping roles Human interaction patterns Hotspots Anomaly Detection Data noise Detecting anomalies Classification Point-based anomalies Contextual-based anomalies Collective anomalies Threat Model and Algorithm Extracting the data Threat detection application Baseline behaviour Analysing data Entry points Time of day Time spent in a zone Zone metrics Pattern triggers The Algorithm Verification process False positives Experiment validation Regulations and Legal Considerations GDPR Privacy laws Conclusions and Recommendations References Chapter Ransomware Introduction Ransomware and How It Impacts Different Platforms Methodology of Ransomware Latest and Most Prominent Ransomwares Platforms Affected by Ransomware Attacks Preventing Ransomware Attacks Conclusion References Chapter Protecting and Securing Data Through Blockchain Across Industries Introduction What Is Blockchain? Blockchain overview: How does it work? Public and private blockchains Blockchain data storage Benefits of blockchain Potential security issues and limitations on blockchain Threats to Mission Critical Data: Vulnerabilities and Cyber Attacks Ransomware Social engineering: Phishing and spear-phishing Cyber Breaches and Client Data Theft Concerns Cyber breach analysis Deep web impacts to the client Is Blockchain the Answer Industry is Looking for Regarding Securing Data? Conclusions References Chapter Bring Your Own Device: GDPR Compliant or Headache? The Human Aspect in Security and Privacy Introduction BYOD Architecture, Security Status and Challenges Current security models Mobile Device Management (MDM) Mobile Application Management (MAM) Mobile Information Management (MIM) Security concerns BYOD security challenges Impact of GDPR on BYOD Architectures Threats to personal data security Guidelines to Enhance Security Posture on Mobile Devices Strong passwords Anti-virus software Authentication mechanisms Remote control Importance of not rooting/jailbreaking the device Virtual private networks Download applications from trusted sources Update systems to latest patches Integration of a Multi-Layer Policy and the Information Governance Framework for a BYOD Security Framework Conclusion References Chapter GDPR Compliance: Incident Response and Breach Notification Challenges Introduction Background Aims Literature Review Changes in the legal and regulatory landscape Exploration of a data breach and its wider impact Privacy risks in IoT and third-party apps Establishing privacy by design and default Encryption and pseudonymisation Comparison of incident response frameworks Security culture and leadership within incident response programs Summary of literature Development of Decision Support System Pre-GDPR incident response frameworks Compliant GDPR framework design Justification for component selection Focus Group Recruitment of participants Ethical consideration Results and Analysis Results Usability of DSS for addressing privacy by design and default Feedback and recommendations for improving design Feasibility of DSS for implementation Summary of results and analysis Evaluation of Research Process and Methods Research limitations Conclusion and Recommendation Recommendations for future work References Chapter Evaluation of the Standardised Digital Forensic Investigation Process Model (SDFIPM) Introduction Research problem Structure of the paper Background to the Previous DFIPMs Research Methodology Overview of the SDFIPM Examination process Analysis process Interpretation process Event reconstruction process Reporting process Presentation process Investigation closure process Demonstration of the SDFIPM Case study Evaluation of the SDFIPM Methods of validation Expert selection process Feedback formats and analysis General feedback Detailed feedback and responses Analysis of the results Alterations made to the SDFIPM Conclusion Research problem addressed Research contribution Future work References Appendix A Appendix B Appendix C Chapter Blockchain of Custody, BoC Introduction Background Blockchain of Custody, BoC Scope Transactions No Wi-Fi, no reception Incentives Permissioned blockchain Tokens Hyperledger Design User modelling Data modelling Access control Operational Logic Summary Results Creating a new investigation Adding a new member to the First Response Team (FRT) Seizure Exchange of artefact Conclusions Recommendations Future work Summary References Chapter New Issues in Cyber Security Forensics Introduction Computer networks Cyber Security on Mobile Devices Security and information protection Voice over wireless networks Wi-Fi Vulnerabilities Threats and attacks Wireless sensor networks Security and Privacy Adaptation Network security challenges Security in Mobile Operating Environments Mobile security vulnerabilities Power in wireless devices Limitations caused by energy consumption in encryption Current state of security Secure access to applications Social media sites Cross Border Security References Chapter Ethical Considerations and a Proposed Support Process When Employing People With Autistic Spectrum Disorder in Cyber Security Roles Literature Review Autistic Spectrum Disorder Basic brain anatomy Support processes TEACCH (Treatment and Education of Autistic and related Communication-handicapped Children) Project SEARCH Transition Assistive technology Cyber security Laws and ethics Relevant UK laws Ethics Methodology Qualitive review Questionnaires Case studies Autistic savantism Analysis and Critical Discussion Matching traits with opportunities Traits and strengths Opportunities Potential issues Social communication Social interaction Honesty Routines and repetitive behaviour Focussed interests Sensory perception Questionnaire response analysis National Autistic Society questionnaire Employer questionnaire Autistic brain structural anomalies Conclusions References Chapter An Ethical Approach to Understanding Cyber Security Introduction A Working Definition of Ethics Computers and Ethics in Cyber Security Information governance and policy vacuum Cyber security in unknown waters The Ethical Significance of Cyber Security The Undermining of Ethical Issues in Cyber Security Hacking and computer wrongdoing Cyber and Information Conflict Ethical View of the GDPR’s Cyber Security Record keeping The “security of processing” Data ruptures Data protection impact assessment Staff mindfulness program Ethical Issues and Data Privacy Privacy and its significance Threats to privacy Ethics and Research in Cybersecurity Concluding Remark Suggested Reading References Chapter An Analysis of Data Mining Metrics to Identify and Evaluate Potential Radicalisation Utilising Social Media Introduction Literature Review Psychological traits and linguistic theory Social media and current events Wider relative research Research Methodology Datasets Keyword Analysis Word count Keyword-in-context Data analysis Keyword Metric Results of the Data Analysis Analytical comparison of the keyword metrics Legislative and jurisdiction factors interconnected with the definitions of radicalisation and extremism Analysis of the social media platform and policies, and their effect on current and future data capturing Review of the collated analytic data, psychological, social and legislative research Conclusions References Chapter The European Union’s General Data Protection Regulation (GDPR) Introduction Legislative Background Personal Data Under GDPR Data Processing General Principles The Data Protection Officer Data Protection Impact Assessment The Fines and the Press Information Technology and the GDPR Conclusions References Index

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