Data processing systems and methods, according to various embodiments, perform privacy assessments and monitor new versions of computer code for updated features and conditions that relate to compliance with privacy standards. The systems and methods may obtain a copy of computer code (e.g., a software application or a website) that collects and/or uses personal data, and then automatically analyzes the computer code to identify one or more privacy-related attributes that may impact privacy assessment standards. In various embodiments, the system is adapted to monitor one or more locations (e.g., an online software application marketplace, and/or a specified website) to determine whether the application or website has changed. The system may, after analyzing the computer code, display the privacy-related attributes, collect information regarding the attributes, and automatically notify one or more designated individuals (e.g., privacy office representatives) regarding the attributes and information collected.

Data processing systems and methods for performing privacy assessments and monitoring of new versions of computer code for privacy compliance

Data processing systems and methods, according to various embodiments are adapted for efficiently processing data to allow for the streamlined assessment of the risk level associated with particular privacy campaigns. The systems may provide a centralized repository of templates of privacy-related question/answer pairings for various vendors, products (e.g., software products), and services. Different entities may electronically access the templates (which may be periodically updated and centrally audited) and customize the templates for evaluating the risk associated with the entities' respective business endeavors that involve the relevant vendors, products, or services.

Data processing systems and methods for efficiently assessing the risk of privacy campaigns

Data processing systems and methods for retrieving data regarding a plurality of data privacy campaigns and for using that data to assess a relative risk associated with the data privacy campaign. In various embodiments, the system may be adapted to: (1) display one or more visual summaries of one or more data flow diagrams that visually depicts key features of the data flow, such as whether data is confidential and/or encrypted; (2) allow for multiple users to be assigned responsibility for populating different respective questions that are required to define the data flow; (3) automatically assess and display a relative risk associated with each campaign; and (4) automatically set, monitor, and facilitate the timely completion of an audit schedule for each campaign.

Data processing systems and methods for operationalizing privacy compliance and assessing the risk of various respective privacy campaigns

Data processing computer systems, in various embodiments, are adapted for: (1) presenting a threshold privacy assessment that includes a first set of privacy-related questions for a privacy campaign; (2) receiving respective answers to the first set of questions; (3) using this initial set of answers to calculate an initial privacy risk score for the privacy campaign; (4) determining whether the privacy risk score exceeds the threshold privacy risk value; (5) in response to the privacy risk score exceeding the threshold privacy risk value, providing one or more supplemental questions to the user to facilitate the completion of a full privacy impact assessment. In some embodiments, in response to determining that the privacy risk score does not exceed the threshold privacy risk value, the systems and methods provide an indication that the particular privacy campaign is a relatively low privacy campaign.

Data processing systems and communication systems and methods for the efficient generation of privacy risk assessments

Data processing systems and methods for: (1) receiving from a first set of users, respective answers for question/answer pairings regarding a product's proposed design; (2) using the question/answer pairings to prepare an initial privacy impact assessment for the product; (3) displaying the plurality of question/answer pairings to a second set of users; (4) receiving recommended steps to be implemented, before the product's implementation date, as part of the design of the product to address any privacy-related concerns identified in the initial privacy impact assessment; and (5) after the tasks have been completed, generating a report documenting that: (a) the initial privacy assessment has been conducted for the product; (b) one or more revisions have been made to the product to facilitate the compliance of the product with the one or more privacy standards; and (c) an updated privacy assessment has been conducted for the product.

Data processing and communications systems and methods for the efficient implementation of privacy by design

A key issue for cloud storage is privacy security. The purpose of privacy, the data owner can outsource his sensitive data on the cloud and give the access control to the authorized user. When the data owner stores his data on the cloud, the data is encrypted for the security guarantee. In this paper, an efficient ciphertext retrieval techniques on a large volume of data are proposed. Initially, an index is generated by Porter stemming. Then the Blowfish algorithm is applied for encryption of files to be outsourced. For authorized access, public key encryption based elliptic curve cryptography (ECC) is used for key generation. When keyword queries are transferred to the cloud, it searches the relevant content associated with the index and retrieves the matching files. Then the Blowfish decryption algorithm is used to get the plain text. It provides security for outsourced data, and the performance of the proposed work showed better efficiency regarding of low computation and communication costs.

Srinivas Mudepalli

Papers

An efficient data retrieval approach using blowfish encryption on cloud ciphertext retrieval in cloud computing