CISSP Exam Dumps - Certified Information Systems Security Professional (CISSP)

The best description of the responsibilities of a data owner is determining the impact the information has on the mission of the organization. A data owner is a person or entity that has the authority and accountability for the creation, collection, processing, and disposal of a set of data. A data owner is also responsible for defining the purpose, value, and classification of the data, as well as the security requirements and controls for the data. A data owner should be able to determine the impact the information has on the mission of the organization, which means assessing the potential consequences of losing, compromising, or disclosing the data. The impact of the information on the mission of the organization is one of the main criteria for data classification, which helps to establish the appropriate level of protection and handling for the data.

The other options are not the best descriptions of the responsibilities of a data owner, but rather the responsibilities of other roles or functions related to data management. Ensuring quality and validation through periodic audits for ongoing data integrity is a responsibility of a data steward, who is a person or entity that oversees the quality, consistency, and usability of the data. Maintaining fundamental data availability, including data storage and archiving is a responsibility of a data custodian, who is a person or entity that implements and maintains the technical and physical security of the data. Ensuring accessibility to appropriate users, maintaining appropriate levels of data security is a responsibility of a data controller, who is a person or entity that determines the purposes and means of processing the data.

Identity as a Service (IDaaS) is the best contract in offloading the task of account management from the IT staff. IDaaS is a cloud-based service that provides identity and access management (IAM) functions, such as user authentication, authorization, provisioning, deprovisioning, password management, single sign-on (SSO), and multifactor authentication (MFA). IDaaS can help the organization to streamline and automate the account management process, reduce the workload and costs of the IT staff, and improve the security and compliance of the user accounts. IDaaS can also support the contractors who have limited onsite time, as they can access the organization’s resources remotely and securely through the IDaaS provider.

The other options are not as effective as IDaaS in offloading the task of account management from the IT staff, as they do not provide IAM functions. Platform as a Service (PaaS) is a cloud-based service that provides a platform for developing, testing, and deploying applications, but it does not manage the user accounts for the applications. Desktop as a Service (DaaS) is a cloud-based service that provides virtual desktops for users to access applications and data, but it does not manage the user accounts for the virtual desktops. Software as a Service (SaaS) is a cloud-based service that provides software applications for users to use, but it does not manage the user accounts for the software applications.

 When developing an information security management system (ISMS), an initial consideration is to understand the value of the information assets that the organization owns or processes. An information asset is any data, information, or knowledge that has value to the organization and supports its mission, objectives, and operations. Understanding the value of the information assets helps to determine the appropriate level of protection and investment for them, as well as the potential impact and consequences of losing, compromising, or disclosing them. Understanding the value of the information assets also helps to identify the stakeholders, owners, and custodians of the information assets, and their roles and responsibilities in the ISMS.

The other options are not initial considerations, but rather subsequent or concurrent considerations when developing an ISMS. Identifying the contractual security obligations that apply to the organizations is a consideration that depends on the nature, scope, and context of the information assets, as well as the relationships and agreements with the external parties. Identifying the level of residual risk that is tolerable to management is a consideration that depends on the risk appetite and tolerance of the organization, as well as the risk assessment and analysis of the information assets. Identifying relevant legislative and regulatory compliance requirements is a consideration that depends on the legal and ethical obligations and expectations of the organization, as well as the jurisdiction and industry of the information assets.

The passage of time is one of the factors that affects the classification of data. Data classification is the process of assigning a level of sensitivity or criticality to data based on its value, impact, and legal requirements. Data classification helps to determine the appropriate security controls and handling procedures for the data. However, data classification is not static, but dynamic, meaning that it can change over time depending on various factors. One of these factors is the passage of time, which can affect the relevance, usefulness, or sensitivity of the data. For example, data that is classified as confidential or secret at one point in time may become obsolete, outdated, or declassified at a later point in time, and thus require a lower level of protection. Conversely, data that is classified as public or unclassified at one point in time may become more valuable, sensitive, or regulated at a later point in time, and thus require a higher level of protection. Therefore, data classification should be reviewed and updated periodically to reflect the changes in the data over time.

The other options are not factors that affect the classification of data, but rather the outcomes or components of data classification. Assigned security label is the result of data classification, which indicates the level of sensitivity or criticality of the data. Multilevel Security (MLS) architecture is a system that supports data classification, which allows different levels of access to data based on the clearance and need-to-know of the users. Minimum query size is a parameter that can be used to enforce data classification, which limits the amount of data that can be retrieved or displayed at a time.

 When implementing a data classification program, it is important to avoid too much granularity, because the process will require too many resources. Data classification is the process of assigning a level of sensitivity or criticality to data based on its value, impact, and legal requirements. Data classification helps to determine the appropriate security controls and handling procedures for the data. However, data classification is not a simple or straightforward process, as it involves many factors, such as the nature, context, and scope of the data, the stakeholders, the regulations, and the standards. If the data classification program has too many levels or categories of data, it will increase the complexity, cost, and time of the process, and reduce the efficiency and effectiveness of the data protection. Therefore, data classification should be done with a balance between granularity and simplicity, and follow the principle of proportionality, which means that the level of protection should be proportional to the level of risk.

The other options are not the main reasons to avoid too much granularity in data classification, but rather the potential challenges or benefits of data classification. It will be difficult to apply to both hardware and software is a challenge of data classification, as it requires consistent and compatible methods and tools for labeling and protecting data across different types of media and devices. It will be difficult to assign ownership to the data is a challenge of data classification, as it requires clear and accountable roles and responsibilities for the creation, collection, processing, and disposal of data. The process will be perceived as having value is a benefit of data classification, as it demonstrates the commitment and awareness of the organization to protect its data assets and comply with its obligations.

In a data classification scheme, the data is owned by the business managers. Business managers are the persons or entities that have the authority and accountability for the creation, collection, processing, and disposal of a set of data. Business managers are also responsible for defining the purpose, value, and classification of the data, as well as the security requirements and controls for the data. Business managers should be able to determine the impact the information has on the mission of the organization, which means assessing the potential consequences of losing, compromising, or disclosing the data. The impact of the information on the mission of the organization is one of the main criteria for data classification, which helps to establish the appropriate level of protection and handling for the data.

The other options are not the data owners in a data classification scheme, but rather the other roles or functions related to data management. System security managers are the persons or entities that oversee the security of the information systems and networks that store, process, and transmit the data. They are responsible for implementing and maintaining the technical and physical security of the data, as well as monitoring and auditing the security performance and incidents. Information Technology (IT) managers are the persons or entities that manage the IT resources and services that support the business processes and functions that use the data. They are responsible for ensuring the availability, reliability, and scalability of the IT infrastructure and applications, as well as providing technical support and guidance to the users and stakeholders. End users are the persons or entities that access and use the data for their legitimate purposes and needs. They are responsible for complying with the security policies and procedures for the data, as well as reporting any security issues or violations.

Asymmetric Card Authentication Key (CAK) challenge-response is an effective control in preventing electronic cloning of RFID based access cards. RFID based access cards are contactless cards that use radio frequency identification (RFID) technology to communicate with a reader and grant access to a physical or logical resource. RFID based access cards are vulnerable to electronic cloning, which is the process of copying the data and identity of a legitimate card to a counterfeit card, and using it to impersonate the original cardholder and gain unauthorized access. Asymmetric CAK challenge-response is a cryptographic technique that prevents electronic cloning by using public key cryptography and digital signatures to verify the authenticity and integrity of the card and the reader. Asymmetric CAK challenge-response works as follows:

• The card and the reader each have a pair of public and private keys, and the public keys are exchanged and stored in advance.
• When the card is presented to the reader, the reader generates a random number (nonce) and sends it to the card.
• The card signs the nonce with its private key and sends the signature back to the reader.
• The reader verifies the signature with the card’s public key and grants access if the verification is successful.
• The card also verifies the reader’s identity by requesting its signature on the nonce and checking it with the reader’s public key.

Asymmetric CAK challenge-response prevents electronic cloning because the private keys of the card and the reader are never transmitted or exposed, and the signatures are unique and non-reusable for each transaction. Therefore, a cloned card cannot produce a valid signature without knowing the private key of the original card, and a rogue reader cannot impersonate a legitimate reader without knowing its private key.

The other options are not as effective as asymmetric CAK challenge-response in preventing electronic cloning of RFID based access cards. Personal Identity Verification (PIV) is a standard for federal employees and contractors to use smart cards for physical and logical access, but it does not specify the cryptographic technique for RFID based access cards. Cardholder Unique Identifier (CHUID) authentication is a technique that uses a unique number and a digital certificate to identify the card and the cardholder, but it does not prevent replay attacks or verify the reader’s identity. Physical Access Control System (PACS) repeated attempt detection is a technique that monitors and alerts on multiple failed or suspicious attempts to access a resource, but it does not prevent the cloning of the card or the impersonation of the reader.

Remote access audit logs could cause a Denial of Service (DoS) against an authentication system. A DoS attack is a type of attack that aims to disrupt or degrade the availability or performance of a system or a network by overwhelming it with excessive or malicious traffic or requests. An authentication system is a system that verifies the identity and credentials of the users or entities that want to access the system or network resources or services. An authentication system can use various methods or factors to authenticate the users or entities, such as passwords, tokens, certificates, biometrics, or behavioral patterns.

Remote access audit logs are records that capture and store the information about the events and activities that occur when the users or entities access the system or network remotely, such as via the internet, VPN, or dial-up. Remote access audit logs can provide a reactive and detective layer of security by enabling the monitoring and analysis of the remote access behavior, and facilitating the investigation and response of the incidents.

Remote access audit logs could cause a DoS against an authentication system, because they could consume a large amount of disk space, memory, or bandwidth on the authentication system, especially if the remote access is frequent, intensive, or malicious. This could affect the performance or functionality of the authentication system, and prevent or delay the legitimate users or entities from accessing the system or network resources or services. For example, an attacker could launch a DoS attack against an authentication system by sending a large number of fake or invalid remote access requests, and generating a large amount of remote access audit logs that fill up the disk space or memory of the authentication system, and cause it to crash or slow down.

The other options are not the factors that could cause a DoS against an authentication system, but rather the factors that could improve or protect the authentication system. Encryption of audit logs is a technique that involves using a cryptographic algorithm and a key to transform the audit logs into an unreadable or unintelligible format, that can only be reversed or decrypted by authorized parties. Encryption of audit logs can enhance the security and confidentiality of the audit logs by preventing unauthorized access or disclosure of the sensitive information in the audit logs. However, encryption of audit logs could not cause a DoS against an authentication system, because it does not affect the availability or performance of the authentication system, but rather the integrity or privacy of the audit logs. No archiving of audit logs is a practice that involves not storing or transferring the audit logs to a separate or external storage device or location, such as a tape, disk, or cloud. No archiving of audit logs can reduce the security and availability of the audit logs by increasing the risk of loss or damage of the audit logs, and limiting the access or retrieval of the audit logs. However, no archiving of audit logs could not cause a DoS against an authentication system, because it does not affect the availability or performance of the authentication system, but rather the availability or preservation of the audit logs. Hashing of audit logs is a technique that involves using a hash function, such as MD5 or SHA, to generate a fixed-length and unique value, called a hash or a digest, that represents the audit logs. Hashing of audit logs can improve the security and integrity of the audit logs by verifying the authenticity or consistency of the audit logs, and detecting any modification or tampering of the audit logs. However, hashing of audit logs could not cause a DoS against an authentication system, because it does not affect the availability or performance of the authentication system, but rather the integrity or verification of the audit logs.