Pub Crawl #38
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.
In a blackhole attack, a malicious node advertises itself as the shortest route to a destination, luring packets. The malicious node can then drop the packets or create a false route. For the Science of Security community, this research is relevant to resiliency and scalability.
In a blackhole attack, a malicious node advertises itself as the shortest route to a destination, luring packets. The malicious node can then drop the packets or create a false route. For the Science of Security community, this research is relevant to resiliency and scalability.
Differential Privacy 2019 (all)
The theory of differential privacy is an active research area, and there are now differentially private algorithms for a wide range of problems. This research looks at big data and cyber physical systems, as well as theoretic approaches. For the Science of Security community, differential privacy relates to composability and scalability, resiliency, and human behavior.
A digital signature is one of the most common ways to authenticate. Using a mathematical scheme, the signature assures the reader that the message was created and sent by a known sender. But not all signature schemes are secure. The research challenge is to find new and better ways to protect, transfer, and utilize digital signatures. For the Science of Security community, this work is relevant to scalability and resilience.
DNA-based cryptography is a developing interdisciplinary area combining cryptography, mathematical modeling, biochemistry and molecular biology as the basis for encryption. For the Science of Security committee, it is relevant to the hard problems of human behavior, resilience, predictive metrics, and privacy.
Research into dynamical systems cited here focuses on non-linear and chaotic dynamical systems and in proving abstractions of dynamical systems through numerical simulations. Many of the applications studied are cyber-physical systems and are relevant to the Science of Security hard problems of resiliency, predictive metrics and composability.
Edge Detection and Security 2019 (all)
Edge detection is an important issue in image and signal processing. For the Science of Security community, the subject is relevant to issues in composability, scalability, predictive metrics, and resiliency.
Efficient Encryption 2019 (all)
The term "efficient encryption" generally refers to the speed of an algorithm, that is, the time needed to complete the calculations to encrypt or decrypt a coded text. The research cited here shows a broader concept and looks both at hardware and software, as well as power consumption. The research relates to cyber physical systems, resilience and composability.
Elliptic Curve Cryptography 2019 (all)
Elliptic curve cryptography is a major research area globally. It is relevant to solving the hard problems of interest to the Science of Security community of scalability, resilience, and metrics.
Embedded Systems Security aims for a comprehensive view of security across hardware, platform software (including operating systems and hypervisors), software development processes, data protection protocols (both networking and storage), and cryptography. Critics say embedded device manufacturers often lack maturity when it comes to designing secure embedded systems. They say vendors in the embedded device and critical infrastructure market are starting to conduct classic threat modeling and risk analysis on their equipment, but they've not matured to the point of developing formal secure development standards. Research is beginning to bridge the gap between promise and performance, as the articles cited here suggest. For the Science of Security, this research addresses resilience, composability, and metrics.
Facial recognition tools have long been the stuff of action-adventure films. In the real world, they present opportunities and complex problems being examined by researchers. For the Science of Security community, their work relates to the hard problems of human behavior, metrics, and resilience.
If malware creates a trust situation which is not real, that is, false, a series of security issues are created. For the Science of Security community, this situation is relevant to policy-based governance, scalability, and resilience.
Forward Error Correction 2018 (all)
Forward Error Correction, also known as Channel coding, are methods for controlling errors in data transmissions over noisy or unreliable communications channels. For cybersecurity, these methods can also be used to ensure data integrity, as some of the research cited below shows. The work cited here relates to the Science of Security problems of metrics, resiliency, and composability.
Forward Error Correction 2019 (all)
Forward Error Correction, also known as Channel coding, are methods for controlling errors in data transmissions over noisy or unreliable communications channels. For cybersecurity, these methods can also be used to ensure data integrity, as some of the research cited below shows. The work cited here relates to the Science of Security problems of metrics, resiliency, and composability.
Game Theoretic Security 2019 (all)
Game theory has historically been the province of social sciences such as economics, political science, and psychology. Game theory has developed into an umbrella term for the logical side of science that includes both human and non-human actors like computers. It has been used extensively in wireless networks research to develop understanding of stable operation points for networks made of autonomous/selfish nodes. The nodes are considered as the players. Utility functions are often chosen to correspond to achieved connection rate or similar technical metrics. In security, the computer game framework is used to anticipate and analyze intruder and administrator concurrent interactions within the network. For the Science of Security community, it is relevant to human factors, predictive metrics, and scalability.
Generative Adversarial Learning 2019 (all)
AI and Machine Learning are being used to develop a wide range of applications including visual, audio, and text. The use of these methods has large security implications. Research into the security aspects is relevant to the Science of Security hard problems of resilience, predictive metrics, and scalability.
Hashing algorithms are used extensively in information security and forensics. Research focuses on new methods and techniques to optimize security. For the Science of Security community, this work is relevant to compositionality and resilience.
Hashing algorithms are used extensively in information security and forensics. Research focuses on new methods and techniques to optimize security. For the Science of Security community, this work is relevant to compositionality and resilience.
Homomorphic Encryption 2019 (all)
Homomorphic encryption shows promise, but continues to demand a heavy processing load in practice. Research into homomorphism is focused on creating greater efficiencies, as well as elaborating on the underlying theory. For the Science of Security community, this work is relevant to resiliency, scalability, human factors, and metrics.
Honeypots area traps set up to detect, deflect, or, in some manner, counteract attempts at unauthorized use of information systems. Generally, a honeypot consists of a computer, data, or a network site that appears to be part of a network, but is actually isolated and monitored, and which seems to contain information or a resource of value to attackers. With increased network size and complexity, the need for advanced methods is growing. Specifically, cloud and virtual security need advanced methods for malware detection and collection. For the Science of Security community, this work is relevant to resiliency, scalability, and human factors.
Immersion systems, commonly known as “virtual reality”, are used for a variety of functions such as gaming, rehabilitation, and training. These systems mix the virtual with the actual, and have implications for cybersecurity because attackers may make the jump from virtual to actual systems. For the Science of Security community, this work is relevant to resilience, human factors, cyber physical systems, privacy, and composability.
Information Forensics 2019 (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 Theoretic Security 2019 (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.
Security is an important research issue for mobile ad hoc networks (MANETs). For the Science of Security community, this work relates to the hard problems of resilience, metrics, and compositionality.
Middleware Security 2018 (all)
Middleware facilitates distributed processing, and is of significant interest to the security world with the development of cloud and mobile applications. It is important to the Science of Security community relative to resilience, policy-based governance and composability.
Middleware Security 2019 (all)
Middleware facilitates distributed processing, and is of significant interest to the security world with the development of cloud and mobile applications. It is important to the Science of Security community relative to resilience, policy-based governance and composability.
Multifactor Authentication 2018 (all)
Multifactor authentication is of general interest within cryptography. For the Science of Security community, it relates to human factors, resilience, and metrics.
Named Data Network Security 2018 (all)
Named Data Networking (NDN) is one of five research projects funded by the U.S. National Science Foundation under its Future Internet Architecture Program. Its goal is to make it easier to develop, manage, secure, and use networks and the Internet. For the Science of Security community, these efforts are relevant to the hard problems of resilience, human behavior, and scalability.
Named Data Network Security 2019 (all)
Named Data Networking (NDN) is one of five research projects funded by the U.S. National Science Foundation under its Future Internet Architecture Program. Its goal is to make it easier to develop, manage, secure, and use networks and the Internet. For the Science of Security community, these efforts are relevant to the hard problems of resilience, human behavior, and scalability.
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.