课程概况
Welcome to Systems and Application Security Course!
In the Systems and Application Security Course, you will gain an understanding of computer code that can be described as harmful or malicious. Both technical and non-technical attacks will be discussed. You will learn how an organization can protect itself from these attacks. You will learn concepts in endpoint device security, cloud infrastructure security, securing big data systems, and securing virtual environments.
Objectives
1. Identify malicious code activity
2. Describe malicious code and the various countermeasures
3. Describe the processes for operating endpoint device security
4. Define mobile device management processes
5. Describe the process for configuring cloud security
6. Explain the process for securing big data systems
7. Summarize the process for securing virtual environments
课程大纲
Identify and Analyze Malicious Code and Activity
Module Topics: Malicious Code, Malicious Code Countermeasures, Exploitation, Insider Threats, Spoofing, Phishing, Spam, and Botnet, Malicious Web Activity, Payloads, Malicious Activity Countermeasures, Malcode Mitigation, and Common Mistakes. Malicious Code includes topics like Key concepts, Example Worms, Polymorphic Viruses, Software Exploitation Methods, Scanners, Generations of Antivirus Scanning Software, Generic Decryption (GD) Technology, Behavior-Blocking Software, Antivirus Software on the Firewall and IDS, Code signing, Code Signing Certificates, Sandboxing, Virtual Machine (VM), Social Engineering, Additional Examples of Social Engineering Attacks, and Security Awareness Training. Under the topic of Exploitation, you will learn about Long File Extensions, Fake Icon, Hostile Codecs, and E-mail. In Insider Threats, you will learn about Indicators of Malicious Threat Activity, Countermeasures, Direction, Prevention, and Deterrence Methods, Continual Training, and Insider Hardware Threats. In Spoofing, Phishing, Spam, and Botnets, you will learn about Spoofing, Examples of Spoofing, Phishing, Common Characteristics of Forged E-Mail Messages, Techniques, How Phishing Works, Impact of Phishing, How to Recognize a Phishing E-Mail, Spam, Spam Distribution Channels, How Does Spam Work?, Spam Techniques, Protecting users From Spam, Botnets, How Are Botnets Created?, Botnet-Led Exploits, Botnet Detection and Mitigation, Common Botnet Detection and Mitigation Techniques. In Malicious Web Activity, you will go through topics like Mobomarket Attack, Cross-site Scripting (XSS) Attacks, The Theory of XSS, XSS Attack Vectors, Is the Organization's Site Vulnerable to Cross-Site Scripting? Example of a Cross-Site Scripting Attack, How to check for Cross-Site Scripting Vulnerabilities, Zero-Day Exploits and Advanced Persistent Threats (APTS), Unknown Vulnerabilities management Process, Five Phases of APT, Brute-Force Attacks, Instant Messaging, Infected Factory Builds and Media, man-in-the-Middle Malcode, Malicious Activity Countermeasures, Network Layer, Application Layer, Modified Hosts File and DNS Changes, Inspection of Process, Rootkit, Rootkit Classifications, Behavioral Analysis of Malcode, and Static File Analysis.
Implement and Operate Endpoint Device Security
Module Topics: Host-Based Intrusion Detection Systems (HIDS), Host-Based Firewalls, Application Whitelisting, Endpoint Encryption, Trusted Platform Module (TPM), Mobile Device Management (MDM), Secure Browsing. In Host-Based Intrusion Detection Systems (HIDS), you will learn about Advantages and Disadvantages of HIDS. In Application Whitelisting, you will learn about software Restriction Policies (SRP), Trusted Platform Module (TPM). In Mobile Device Management (MDM), you will learn about Bring your Own Device (BYOD), Security, BYOD Policy Considerations, BYOD Policy Considerations, Corporate Owned, Personally Enabled (COPE), and Secure Browsing.
Operate and Configure Cloud Security
Module Topics: Introduction, Deployment Models, Service Models, Virtualization, Legal and Privacy Concerns, Classification of Discovered Sensitive Data, Mapping and Definition of Controls, Application of Defined Controls for Personally Identifiable Information (PII), Data Storage and Transmission, Encryption, Key Management, Masking/Obfuscation and Anonymization, Tokenization, Data Deletion Procedures and Mechanisms, Event Sources, Data Event Logging and Event Attributes, and Storage and Analysis of Data Events. Introduction covers the Five Essential Characteristics of Clouds. Deployment Models cover topics like Public, Private, Hybrid and Community Cloud, Service Models, SaaS, PaaS, and IaaS. Virtualization includes Hypervisor, and Types of Virtualization. In Legal and Privacy Concerns, you will learn about Key P&DP Questions, Country-Specific Legal Considerations, Jurisdiction and Applicable Law, Essential Requirements in P&DP Laws, Typical Meaning for Common Privacy Terms, Privacy Roles for Customer and Service Provider, Data Discovery, and Privacy Level Agreement (PLA). In Application of Defined Controls for Personally Identifiable Information (PII), you will learn about Cloud security Alliance Cloud Controls Matrix (CCM), CCM Security Domains, Data Dispersion in Cloud Storage, Threat to storage Types, Technologies Available to Address Threats, Data Loss Prevention (DLP), DLP Components, DLP Architecture, Cloud-Based DLP Considerations, and Best Practices. In Encryption, you will learn about Sample Use cases for Encryption, Cloud Encryption Challenges, Key Management, Key Storage in the Cloud, and Key Management in Software environments. In Masking/Obfuscation and Anonymization, you will learn about Data Masking/Obfuscation, Common Approaches for Data Masking, Primary Methods of Masking Data, and Data Anonymization. Tockenization covers topics like Tokenization and Cloud, Data Retention Policies, Data Deletion Procedures and Mechanisms, Disposal Options, Crypto-shredding, Data Archiving Policy, Security and Information Event Management (SIEM). Data Event Logging and Event Attributes covers topics like OWASP Recommendations, SIEM Capabilities, and SIEM Challenges.
Secure Big Data Systems & Operate and Secure Virtual Environments
Module Topics for Secure Big Data Systems: Application Vulnerabilities and Architecture or Design Environments. Application Vulnerabilities include topics like Data Growth, Big Data, Interpreting Big, Data, Big Data Issues, and Challenges with 'Free' Analytic Tools. Architectural or Design Environments include topics like Distributed Computing Architectures, Key Challenges, Securing the Organization's Big Data, and Deploying Big Data for Security. Module Topics for Operate and Secure Virtual Environments: Software-Defined Network (SDN), Virtual Appliances, Continuity and Resilience, Attacks and Countermeasures, Common Virtualization Attacks, Recommendations and Best Practices for Secure Virtualization, and Shared Storage. In Software-Defined network (SDN), you will learn about How SDN Works. Virtual Appliances talks about Virtual Appliances Compared to Virtual Machines. In Continuity and Resilience you will learn about Host Clustering Concepts, VMware Distributed Resource Scheduling (DRS), Scalability and Reliability, windows Failover Clustering. In Common Virtualization Attacks, you will learn about Mitigation Strategies. In Recommendations and Best Practices for Secure Virtualization you will learn about Desktop Virtualization and Security, Network Security, Storage Networks, Auditing and Logging, Virtual Machine Security, Management Systems, Hypervisor Security, Time Synchronization, Remote Access, Backups, and Configuration and Change Management.
Case Study
End-of-Course Assessment
