Pub Crawl #15
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.
Minimizing privacy risk is one of the major problems in the development of social media and hand-held smart phone technologies, vehicle ad hoc networks, and wireless sensor networks. For the Science of Security community, the research issues addressed relate to the hard problems of resiliency, composability, metrics, and human behavior.
Applications Programming Interfaces, APIs, are definitions of interfaces to systems or modules. As code is reused, more and more are modified from earlier code. For the Science of Security community, the problems of compositionality and resilience are direct.
Artificial Neural Networks 2017
(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.
Asymmetric Encryption 2017
(all)
Asymmetric, or public key, encryption is a cornerstone of cybersecurity. The research presented here looks at key distribution, compares symmetric and asymmetric security, and evaluates cryptographic algorithms, among other approaches. For the Science of Security community, encryption is a primary element for resiliency, compositionality, metrics, and behavior.
Security analysts use attack graphs for detection, defense and forensics. An attack graph is defined as a representation of all paths through a system that end in a state where an intruder has successfully breached the system. They are an important tool for the Science of Security related to predictive metrics, resiliency, and composability.
Theoretical Cryptography 2017 (all)
Cryptography can only exist if there is a mathematical hardness to it constructed to maintain a desired functionality, even under malicious attempts to change or destroy the prescribed functionality. The foundations of theoretical cryptography are the paradigms, approaches and techniques used to conceptualize, define and provide solutions to natural 'security concerns' mathematically using probability-based definitions, various constructions, complexity theoretic primitives and proofs of security. For the Science of Security community, this work is relevant to the broad problem of developing a science, as well as contributing to the solution of the hard problems of composability and compositionality.
Threat mitigation is a continuous need in cybersecurity. For the Science of Security community, threat mitigation is related to resiliency, metrics, and human behavior.
As systems become larger and more complex, the surface that hackers can attack also grows. Is this set of recent research articles, topics are explored that include smartphone malware, zero-day polymorphic worm detection, source identification, drive-by download attacks, two-factor face authentication, semantic security, and code structures. Of particular interest to the Science of Security community are the research articles focused on measurement and on privacy.
Time Frequency Analysis and Security 2017
(all)
Time-frequency analysis is a useful method that allows simultaneous consideration of both the time and frequency domains. It is useful to the Science of Security community for analysis in cyber-physical systems and toward solving the hard problems of resilience, predictive metrics, and scalability.
Trojan Horse Detection 2017
(all)
Detection and neutralization of hardware-embedded Trojans is a difficult problem. Current research is attempting to find ways to develop detection methods and processes and to automate the process. This research is relevant to cyber physical systems security, resilience and composability, as well as being an issue in supply chain security.
Trust routing schemes are a key component for building resilient architectures and for composable and scalable security systems.
Underwater Networks 2017
(all)
Underwater networks have some unique security issues related to the environment they operate in. For the Science of security community, the research conducted and presented here is relevant to cyber-physical systems and work on resiliency, metrics, and scalability.
Video surveillance is a fast growing area of public security. With it have come policy issues related to privacy. Technical issues and opportunities have also arisen, including the potential to use advanced methods to provide positive identification, abnormal behaviors in crowds, intruder detection, and information fusion with other data. For the Science of Security community, this work is relevant to scalability, resilience, and human behavior.
Virtual Machine Security 2017
(all)
Arguably, virtual machines are more secure than actual machines. This idea is based on the notion that an attacker cannot jump the gap between the virtual and the actual. The growth of interest in cloud computing suggest it is time for a fresh look at the vulnerabilities in virtual machines. In the articles presented below, security concerns are addressed in some interesting ways. For the Science of Security community, virtualization is related to composability, resiliency, cyber physical systems, and cryptography.
Vulnerability Detection 2017
(all)
Vulnerability detection is a topic for which a great deal of research is being done. For the Science of Security community, vulnerability detection research is relevant to human behavior, resiliency, compositionality, and metrics.
The proliferation of personal wearable devices to track athletic performance and their adaptation and adaptation for health monitoring presents challenges for security. The small processing power and storage and the potential for compromise have stimulated research. For the Science of Security community, this research is relevant to the hard problems of human behavior and privacy, resiliency, and scalability.
Web caches offer a potential for mischief. With the expanded need for caching capability with the cloud and mobile communications, the need for more and better security has also grown. This research is relevant to the Science of Security hard problems of resilience, scalability, and metrics.
The creation of trust across networks is an important aspect of cybersecurity. Current research is focusing on graph theory as a means to develop a “web of trust.” For the Science of Security community, resiliency and composability are related hard problems.
Windows Operating System Security 2017
(all)
Operating system security is a component of resiliency, composability, and an area of concern for predictive metrics. This research focused on the Windows operating system.
Wireless Mesh Networks 2017
(all)
With more than 70 protocols vying for preeminence over wireless mesh networks, the security problem is magnified. The work cited here relates to the Science of Security hard problems of resiliency, metrics, and composability.
Work Factor Metrics 2017
(all)
It is difficult to measure the relative strengths and weaknesses of modern information systems when the safety, security, and reliability of those systems must be protected. Developers often apply security to systems without the ability to evaluate the impact of those mechanisms to the overall system. Few efforts are directed at actually measuring the quantifiable impact of information assurance technology on the potential adversary. For the Science of Security community, this work is relevant to resilience and scalability.
Zero Day Attacks and Defense 2017
(all)
Zero day attacks exploit previously unknown vulnerabilities in software that programmers have not yet patched or fixed. For the Science of Security community, zero day exploits related to predictive metrics, resiliency, and composability.
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.