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HTTPS uses SSL/TLS encryption to secure data transmission over the internet. This encryption makes it difficult to monitor HTTPS traffic because the data packets are encrypted making them unreadable to anyone trying to intercept or monitor the data without proper decryption keys. References := Cisco CyberOps Associate

 Cyber attribution is the process of identifying the source, motive, and methods of a cyberattack. Cyber attribution can help investigators to determine the responsibility, intent, and capability of the threat actors, as well as to prevent, deter, or respond to future attacks. One of the pieces of information that is needed for cyber attribution is known threat actor behavior, which refers to the patterns, techniques, tools, and tactics that are characteristic of a specific threat actor or group. Known threat actor behavior canhelp investigators to narrow down the suspects, link different incidents, and understand the objectives and strategies of the attackers. References := Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) v1.0, Module 5: Security Policies and Procedures, Lesson 5.2: Incident Response, Topic 5.2.3: Cyber Attribution, page 5-14.

The logs indicating multiple local TCP connection events are typically provided by a firewall. Firewalls are responsible for monitoring and controlling incoming and outgoing network traffic based on predetermined security rules, and they generate logs that detail such events, which can be used for further analysis and incident response. References := Cisco Cybersecurity Operations Fundamentals

Statistical data is crucial for detecting anomalies within a network because it provides a baseline of normal behavior.

Anomaly detection involves comparing current network data against historical statistical data to identify deviations from expected patterns.

This method helps in identifying unusual activities that could signify a security threat, such as unusual login attempts, data transfers, or access patterns.

Statistical data analysis tools use metrics such as mean, variance, and standard deviation to flag anomalies, aiding in proactive threat detection.

References

Cisco Cybersecurity Operations Fundamentals

Network Anomaly Detection Techniques

Statistical Methods in Cybersecurity

The improper use or disclosure of Personally Identifiable Information (PII) falls under the category of compliance because organizations are required to adhere to laws and regulations that protect the privacy and security of PII. This includes following guidelines set forth by privacy laws such as GDPR, HIPAA, and others that mandate the proper handling of personal data to prevent misuse and unauthorized access123.

References := Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS), Personally identifiable information (PII): What it is, how it’s used, and how to protect it, What is PII? Examples, laws, and standards, Overview of the Privacy Act: 2020 Edition

 In the context of public key infrastructure (PKI), a trusted certificate authority (CA) is responsible for issuing digital certificates that verify a digital entity’s identity on the internet. The CA acts as a trusted third party between the user (in this case, tom0411976943) and the recipient (dan1968754032), ensuring that the public keys are indeed who they claim to be. The CA verifies the identity of the users and then issues a certificate containing the public key and a variety of other identification information. The trusted CA can then vouch for the authenticity of each user to the other.

Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS)

 Application-level whitelisting is a security technology that allows only a set of pre-approved applications to run on a system, and blocks any other unauthorized or malicious programs. This can prevent malware, ransomware, zero-day exploits, and other threats from compromising the system. Application-level whitelisting is also known as application control or application allowlisting. References := Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) v1.0, Module 3: Host-Based Analysis, Lesson 3.2: Endpoint Security Technologies, Topic 3.2.3: Application Whitelisting, page 3-20.