Addressing privacy requirements in system design: the PriS method

By Christos Kalloniatis, Evangelia Kavakli, Stefanos Gritzalis. Requirements Engineering, 2008

297 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science, Signal Processing

View Paper: https://www.semanticscholar.org/paper/3917162a7a90cbc9f1688b6e6a92c46ba9908264

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Li D. Xu
2. Bart Preneel
3. Riccardo Scandariato
4. Wouter Joosen
5. Mina Deng
6. Kim Wuyts

In Sociology and Political Science

1. Li D. Xu
2. Bart Preneel
3. Sabrina Sicari

In Signal Processing

1. Li D. Xu
2. Bart Preneel

Citations in the corpus

• Internet of things: Vision, applications and research challenges (2012, background): “A number of frameworks have been proposed for accounting for privacy issues in the system design phase, such as Kaos [126], Tropos [127,128], NFR [129,130], GBRAM [131], PRIS [132,133].”
• A privacy threat analysis framework: supporting the elicitation and fulfillment of privacy requirements (2011, methodology): “The Pris method [35] presents a structured way to create systems that adhere to the specified privacy requirements.”
• Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics (2019, background): “Many mechanisms have been proposed to address data privacy issues in IoT cybersecurity, such as Kaos [95], Tropos [96], NFR [97], GBRAM [98], and PRIS [99].”