Security in computing

By C. Pfleeger. 1988

How researchers see this paper

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

Distributed Statistical Machine Learning in Adversarial Settings (2017, methodology): “In this framework, distributed machine learning is secured via system architectures, hardware devices, and monitoring [14, 27, 31].”
Addressing cloud computing security issues (2012, background): “Cryptographic Separation in which processes, computations and data are concealed in such a way that they appear intangible to outsiders [30].”
Security in wireless sensor networks: issues and challenges (2006, background): “As wireless communication is vulnerable to eavesdropping, any attacker can monitor the traffic flow and get into action to interrupt, intercept, modify or fabricate [ 22 ] packets thus, provide wrong information to the base stations or sinks.”
Security Requirements Engineering: A Framework for Representation and Analysis (2008, background): “Management control principles include “standard” security principles such as least privilege and separation of duties [64]; these are checked against assets to determine their applicability.”
Designing data governance (2010, background): “Data access decisions also provide standards at the physical and logical level.(6) The standards for physical data integrity ensure that the data is immune to physical harm such as power failure; the standards for logical data integrity ensure that the structure of a database is preserved.”