Pub Crawl #77
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.
Industrial Control Systems 2022 
(all)
Industrial control systems are a vital part of the critical infrastructure. Anomaly detection in these systems is requirement to successfully build resilient and scalable systems. The work cited here addresses these two hard problems in the Science of Security.
Information Centric Networks 2022 (all)
The move from host-centric to information-centric network security has major implications for the Science of Security community relative to scalability and resilience.
Information Forensics 2022 
(all)
Forensics is an important tool for tracking and evaluating past attacks and using the information gained to resolve hard problems in the Science of Security related to resilience, metrics, human behavior, and scalability.
Information Reuse and Security 2022 (all)
The objective of information reuse is to maximize the value of information by creating simple, rich, and reusable knowledge representations and integrating it into systems and applications. With reuse comes inherent security risk. For the Science of Security community, this problem is relevant to compositionality and resiliency.
Information Theoretic Security 2022 
(all)
A cryptosystem is said to be information-theoretically secure if its security derives purely from information theory and cannot be broken even when the adversary has unlimited computing power. For example, the one-time pad is an information-theoretically secure cryptosystem proven by Claude Shannon, inventor of information theory, to be secure. Information-theoretically secure cryptosystems are often used for the most sensitive communications such as diplomatic cables and high-level military communications, because of the great efforts enemy governments expend toward breaking them. Because of this importance, methods, theory and practice in information theory security also remains high. It is fundamentally related to the concept of Science of Security and all the hard problems.
Insider threats are a difficult problem. The research cited here looks at both intentional and accidental threats, including the effects of social engineering, and methods of identifying potential threats. For the Science of Security, insider threat relates to human behavior, as well as metrics, policy-based governance, and resilience.
Intellectual Property Security 2022 (all)
Intellectual Property protection continues to be a matter of major research interest. The topic is related to the Science of Security regarding resilience, policy-based governance, and composability.
Intelligent Data and Security 2022 (all)
The term "intelligent data" refers to data that directly feeds decision-making processes. It has real time critical importance and therefore needs a high degree of integrity. For the Science of Security community, it is important to the Hard Problems of resilience, scalability, and compositionality.
Internet of Vehicles Security 2022 (all)
The term "Internet of Vehicles" refers to a system of the Internet of Things related to automobiles and other vehicles. It may include Vehicular Ad-hoc Networks (VANETs). For the Science of Security community, it is important relative to cyber physical systems, resilience, human factors and metrics.
Internet-scale Computing Security 2022 (all)
Addressing security at Internet scale relates to all of the Hard Problems of the Science of Security.
Machine learning offers potential efficiencies and is an important tool in data mining. However, the "learned" or derived data must maintain integrity. Machine learning can also be used to identify threats and attacks. Research in this field relates to the Science of Security hard problems of resilient architectures, composability, and privacy.
Malware analysis, along with detection and classification, is a major issue cybersecurity. For the Science of Security community, malware classification is related to privacy, predictive metrics, human behavior and resiliency.
Malware Analysis and Graph Theory 2022 (all)
Malware analysis is generally signature based. Graph theory has the potential to provide more rigor in analyzing malware as a tool for mining large data sets. For the Science of Security community, malware classification is related to privacy, predictive metrics, human behavior and resiliency.
Science of Security 2021 (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.
