Tracking Information Flow in Cyber-Physical Systems

Gries, Stefan; Hesenius, Marc; Gruhn, Volker

doi:10.1109/icdcs.2017.116

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The problem acquiring semantic information to find interdependencies among sensors and actuators is raised in [22], where the approach to detect sources of errors through path tracking is proposed. However, these authors mostly focused on the narrow area of physical object dependencies without considering interdependencies among concepts and virtual entities.…”

Section: Related Literaturementioning

confidence: 99%

Semantic Data Management for a Virtual Factory Collaborative Environment

et al. 2019

View full text Add to dashboard Cite

Recent developments in the area of cyber-physical systems (CPSs) and Internet of Things (IoT) are among the drivers for the emergence of the Industry 4.0 concept, setting new requirements for the architecture, technology, and design approaches of modern industrial systems. Industry 4.0 assumes a higher level of intelligence, and thus autonomy of the systems and subsystems, and a larger focus on the analysis of gathered data for further utilization. The Virtual Factory Open Operating System (vf-OS) project is intended to respond to some of these key challenges, in particular for the smart factory application domain. Complementarily, data and knowledge storage and processing are also in the scope of vf-OS. This article introduces the semantic management component of vf-OS, which aims to analyze the interrelations among stored entities, as well as to define the closeness among them to generate meaningful suggestions, which can be later used by other subsystems or operators in a user-friendly way. The semantic managing system makes use of non relational approaches, namely a graph database, which enables data to be represented as graphs for further semantic querying. The developed prototype and an illustrative application case are also presented.

show abstract

Section: Related Literaturementioning

confidence: 99%

Semantic Data Management for a Virtual Factory Collaborative Environment

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Currently, the state-of-the-art method for detecting the leakage of private data is called "dynamic taint analysis" and is typically used in information security to enforce information flow policies to Information 2018, 9, 54 4 of 16 preserve data confidentiality and integrity. Tracking information flows allows users to know how a program processes private data [31,32]. TaintDroid is a prominent representative of applications that track information flows in Android dynamic taint analysis systems, with some 2312 citations at the time of this writing.…”

Section: Related Workmentioning

confidence: 99%

Unix Domain Sockets Applied in Android Malware Should Not Be Ignored

Jiang

Zhang

2018

Information

View full text Add to dashboard Cite

Increasingly, malicious Android apps use various methods to steal private user data without their knowledge. Detecting the leakage of private data is the focus of mobile information security. An initial investigation found that none of the existing security analysis systems can track the flow of information through Unix domain sockets to detect the leakage of private data through such sockets, which can result in zero-day exploits in the information security field. In this paper, we conduct the first systematic study on Unix domain sockets as applied in Android apps. Then, we identify scenarios in which such apps can leak private data through Unix domain sockets, which the existing dynamic taint analysis systems do not catch. Based on these insights, we propose and implement JDroid, a taint analysis system that can track information flows through Unix domain sockets effectively to detect such privacy leaks.

show abstract

Tracking Information Flow in Cyber-Physical Systems

Cited by 2 publications

References 3 publications

Semantic Data Management for a Virtual Factory Collaborative Environment

Semantic Data Management for a Virtual Factory Collaborative Environment

Unix Domain Sockets Applied in Android Malware Should Not Be Ignored

Contact Info

Product

Resources

About