Pub Crawl #24
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.
Augmented Reality (AR) offers a combination of physical and virtual objects. It differs from virtual reality by allowing users to sight the real world enhanced with virtual objects. In certain applications, security breaches could morph those enhancements into liabilities. For the Science of Security community, research into this subject is relevant to the hard problems of scalability, resilience, privacy, and human behavior.
A recurring problem in cybersecurity is the need to automate systems to reduce human effort and error and to be able to react rapidly and accurately to an intrusion or insertion. The articles cited here describe a number of interesting approaches related to the Science of Security hard topics, including resilience and composability.
Belief networks are Bayesian models that that represent sets of random variables and their conditional dependencies through a directed acyclic graph (DAG). These networks are used for modeling beliefs in complex physical networks or systems and are important to the Science of Security.
Privacy issues related to Big Data are a growing area of interest for researchers. The work presented here addresses methodologies to protect personal information using both technical and policy solutions. For the Science of Security community, this work is relevant to human factors, resilience, scalability, and metrics.
Sensors represent are both a point of vulnerability in the Smart Grid and a means of detection of intrusions. For the Science of Security community, research work into these industrial control systems is relevant to resiliency, compositionality, and human factors.
Agent-based modeling of human social behavior is an increasingly important research area. Efficient, scalable and robust social systems are difficult to engineer, both from the modeling perspective and the implementation perspective. The work cited here addresses these problems. It is relevant to the Science of Security community relative to human factors and scalability.
Software assurance is an essential element in the development of scalable and composable systems. For a complete system to be secure, each subassembly must be secure.
Spam detection is a general problem in cybersecurity. For the Science of Security community, it is relevant to the problems of scalability, human behavior, and metrics.
SQL injection is used to attack data-driven applications. Malicious SQL statements are inserted into an entry field for execution to dump the database contents to the attacker. One of the most common hacker techniques, SQL injection is used to exploit security vulnerabilities in an application's software. It is mostly used against websites but can be used to attack any type of SQL database. Because of its prevalence and ease of use from the hacker perspective, it is an important area for research and of interest to the Science of Security community relative to human behavior, metrics, resiliency, privacy and policy-based governance.
Static Code Analysis 2018 (all)
Static code analysis is a standard method of testing software prior to production and marketing. Much of the work done in the Science of Security to look at code suggests that these analyses need to address security issues. Methods and practices cited in the research referenced here relate to human behavior, composability, and resiliency.
Steganography Detection 2018 (all)
Digital steganography detection is one of the primary areas or science of security research. For the Science of Security community, it is relevant to the hard problems are privacy, metrics and composability.
Stochastic Computing Security 2018 (all)
Although stochastic computing was historically considered a failure, it may still remain relevant for solving certain problems, including machine learning and control, stochastic decoding, which applies stochastic computing to the decoding of error correcting codes, and image processing tasks such as edge detection and image thresholding. For the Science of Security community, it is of interest relative to resilience and scalability.
Stylometry is a method of tracking user behavior across platforms and using techniques such as writing style and keystrokes. If holds some promise as a tool for insider threat detection. For the Science of Security community, it is relevant to human behavior issues and predictive metrics.
Supply Chain Risk Assessment 2018 (all)
Threats to the supply chain in terms of delivery, integrity, content and the provenance of components and parts appear to be growing. The research cited here looks at methods to analyze risk to the security of the supply chain from multiple perspectives in order to develop accurate predictive metrics.
Supply Chain Security 2018 (all)
Threats to the supply chain in terms of delivery, integrity, content and the provenance of components and parts appear to be growing. For the Science of Security community, supply chain security is relevant to resilient architectures, scalability, and human behavior issues.
Support Vector Machine 2018 (all)
The Support Vector Machine (SVM) algorithm has been used to analyze data for classification and to perform regression analysis. For the Science of Security community, SVM is related to machine learning and relevant to solving the hard problems of composability, resilience and predictive metrics.
Swarm Intelligence is a concept using the metaphor of insect colonies to describe decentralized, self-organized systems. The method is often used in artificial intelligence, and there are about a dozen variants ranging from ant colony optimization to stochastic diffusion. For cybersecurity, these systems have significant value both offensively and defensively. For the Science of Security, swarm intelligence relates to composability and compositionality.
A Sybil attack occurs when a node in a network claims multiple identities. The attacker may subvert the entire reputation system of the network by creating a large number of false identities and using them to gain influence. For the Science of Security community, these attacks are relevant to resilience, metrics, and composability.
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 2018 (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 2018 (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.
Trusted Platform Modules 2018 (all)
A Trusted Platform Module (TPM) is a computer chip that can securely store artifacts used to authenticate a network or platform. These artifacts can include passwords, certificates, or encryption keys. A TPM can also be used to store platform measurements that help ensure that the platform remains trustworthy. Interest in TPMs is growing due to their potential for solving hard problems in security such as composability and cyber-physical system security and resilience.
Trustworthiness is created in information security through cryptography to assure the identity of external parties. They are essential to cybersecurity and to the Science of Security hard problem of 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.