Pub Crawl #37
Pub Crawl summarizes, by hard problems, sets of publications that have been peer reviewed and presented at SoS conferences or referenced in current work. The topics are chosen for their usefulness for current researchers. Select the topic name to view the corresponding list of publications. Submissions and suggestions are welcome.
Multiple Fault Diagnosis 2018 (all)
According to Shakeri, “the computational complexity of solving the optimal multiple-fault isolation problem is super exponential.” Most processes and procedures assume that there will be only one fault at any given time. Many algorithms are designed to do sequential diagnostics. With the growth of cloud computing and multicore processors and the ubiquity of sensors, the problem of multiple fault diagnosis has grown even larger. For the Science if Security community, multiple fault diagnosis is relevant to cyber physical systems, resiliency, metrics, and human factors.
Multiple Fault Diagnosis 2019 (all)
According to Shakeri, “the computational complexity of solving the optimal multiple-fault isolation problem is super exponential.” Most processes and procedures assume that there will be only one fault at any given time. Many algorithms are designed to do sequential diagnostics. With the growth of cloud computing and multicore processors and the ubiquity of sensors, the problem of multiple fault diagnosis has grown even larger. For the Science if Security community, multiple fault diagnosis is relevant to cyber physical systems, resiliency, metrics, and human factors.
Natural Language Processing 2018 (all)
Natural language processing research focuses on developing efficient algorithms to process texts and to make their information accessible to computer applications. Texts can contain information with different complexities ranging from simple word or token-based representations, to rich hierarchical syntactic representations, to high-level logical representations across document collections. For the Science of Security community, this work is relevant to scalability, resilience, and human behavior.
Natural Language Processing 2019 (all)
Natural language processing research focuses on developing efficient algorithms to process texts and to make their information accessible to computer applications. Texts can contain information with different complexities ranging from simple word or token-based representations, to rich hierarchical syntactic representations, to high-level logical representations across document collections. For the Science of Security community, this work is relevant to scalability, resilience, and human behavior.
Nearest Neighbor Search 2018 (all)
The search for secure privacy protecting nearest neighbor searches is an issue in cybersecurity related to the Science of Security community hard problems of measurement and predictive metrics.
Nearest Neighbor Search 2019 (all)
The search for secure privacy protecting nearest neighbor searches is an issue in cybersecurity related to the Science of Security community hard problems of measurement and predictive metrics.
Network Accountability 2018 (all)
The term “accountability” suggests that an entity should be held responsible for its own specific actions. Once an event has transpired, the events that took place need to be traceable so that the causes can be determined afterwards. The goal of network accountability research is to provide accountability within networks and computers by building trace files of events. For the Science of Security community, it is relevant to composability, resilience, and metrics.
Network Accountability 2019 (all)
The term “accountability” suggests that an entity should be held responsible for its own specific actions. Once an event has transpired, the events that took place need to be traceable so that the causes can be determined afterwards. The goal of network accountability research is to provide accountability within networks and computers by building trace files of events. For the Science of Security community, it is relevant to composability, resilience, and metrics.
Networked Control Systems Security 2018 (all)
Network control systems (NCS) offer a relatively inexpensive way for communications networks to provide diagnostics, flexibility, and robustness. To the Science of Security community, NCS research is relevant to the hard problems of resiliency, composability, and predictive metrics.
Networked Control Systems Security 2019 (all)
Network control systems (NCS) offer a relatively inexpensive way for communications networks to provide diagnostics, flexibility, and robustness. To the Science of Security community, NCS research is relevant to the hard problems of resiliency, composability, and predictive metrics.
Network Intrusion Detection 2018 (all)
Network intrusion detection is one of the chronic problems in cybersecurity. The growth of cellular and ad hoc networks has increased the threat and risks and research into this area of concern reflects its importance. For the Science of Security community, NID is relevant to metrics, composability, and resilience.
Network Intrusion Detection 2019 (all)
Network intrusion detection is one of the chronic problems in cybersecurity. The growth of cellular and ad hoc networks has increased the threat and risks and research into this area of concern reflects its importance. For the Science of Security community, NID is relevant to metrics, composability, and resilience.
Network on Chip Security 2018 (all)
Network on chip (NoC or NOC) is a communication subsystem on an integrated circuit. NOC technology applies networking theory and methods to on-chip communication and brings improvements over conventional interconnections. From a Science of Security perspective, NOC security is relevant to scalability, resilience, and metrics.
Network on Chip Security 2019 (all)
Network on chip (NoC or NOC) is a communication subsystem on an integrated circuit. NOC technology applies networking theory and methods to on-chip communication and brings improvements over conventional interconnections. From a Science of Security perspective, NOC security is relevant to scalability, resilience, and metrics.
Network Reconnaissance 2018 (all)
The capacity to survey, analyze and assess a network is a critical aspect of developing resilient systems. The work cited here addresses multiple methods and approaches to network reconnaissance. These are related to the Science of Security hard problems of resilience and scalability.
Network Reconnaissance 2019 (all)
The capacity to survey, analyze and assess a network is a critical aspect of developing resilient systems. The work cited here addresses multiple methods and approaches to network reconnaissance. These are related to the Science of Security hard problems of resilience and scalability.
Network Security Architecture 2018 (all)
The requirement for security and resilience in network security architecture is one of the hard problems in the Science of Security.
Network Security Architecture 2019 (all)
The requirement for security and resilience in network security architecture is one of the hard problems in the Science of Security.
Neural Network Security 2018 (all)
Artificial neural networks have been used to solve a wide variety of tasks that are hard to solve using ordinary rule-based programming. What has attracted much interest in neural networks is the possibility of learning. Tasks such as function approximation, classification pattern and sequence recognition, anomaly detection, filtering, clustering, blind source separation and compression and controls all have security implications. Cyber physical systems, resiliency, policy-based governance and metrics are the Science of Security interests.
Neural Network Security 2019 (all)
Artificial neural networks have been used to solve a wide variety of tasks that are hard to solve using ordinary rule-based programming. What has attracted much interest in neural networks is the possibility of learning. Tasks such as function approximation, classification pattern and sequence recognition, anomaly detection, filtering, clustering, blind source separation and compression and controls all have security implications. Cyber physical systems, resiliency, policy-based governance and metrics are the Science of Security interests.
Object Oriented Security 2019 (all)
The use of common object-oriented design patterns as a mechanism for access control is called Object-Oriented Security. These mechanisms can be easier to use and more effective than traditional security models. For the Science of Security community, OOP security models are of interest relative to the hard problems of resiliency, composability, and metrics.
Science of Security 2019 (all)
Many more articles and research studies are appearing with “Science of Security” as a keyword. The articles cited here discuss the degree to which security is a science and various issues surrounding its development, ranging from basic approach to essential elements. The articles cited here address the fundamental concepts of the Science of Security.
Articles listed on these pages have been found on publicly available internet pages and are cited with links to those pages. Some of the information included herein has been reprinted with permission from the authors or data repositories. Direct any requests for removal via email of the links or modifications to specific citations. Please include the URL of the specific citation in your correspondence.
Pub Crawl contains bibliographical citations, abstracts if available, links on specific topics, and research problems of interest to the Science of Security community.
How recent are these publications?
These bibliographies include recent scholarly research on topics that have been presented or published within the stated year. Some represent updates from work presented in previous years; others are new topics.
How are topics selected?
The specific topics are selected from materials that have been peer reviewed and presented at SoS conferences or referenced in current work. The topics are also chosen for their usefulness for current researchers.
How can I submit or suggest a publication?
Researchers willing to share their work are welcome to submit a citation, abstract, and URL for consideration and posting, and to identify additional topics of interest to the community. Researchers are also encouraged to share this request with their colleagues and collaborators.
What are the hard problems?
Select a hard problem to retrieve related publications.
- - Scalability and Composability: Develop methods to enable the construction of secure systems with known security properties from components with known security properties, without a requirement to fully re-analyze the constituent components.
- - Policy-Governed Secure Collaboration: Develop methods to express and enforce normative requirements and policies for handling data with differing usage needs and among users in different authority domains.
- - Security Metrics Driven Evaluation, Design, Development, and Deployment: Develop security metrics and models capable of predicting whether or confirming that a given cyber system preserves a given set of security properties (deterministically or probabilistically), in a given context.
- - Resilient Architectures: Develop means to design and analyze system architectures that deliver required service in the face of compromised components.
- - Understanding and Accounting for Human Behavior: Develop models of human behavior (of both users and adversaries) that enable the design, modeling, and analysis of systems with specified security properties.