Security-Mode ONOS

Security-Mode ONOS

ONOS provides “useful Northbound abstractions and APIs to enable easier application development”. Such abstractions and APIs are not only easy to use but also powerful as they basically allow ONOS applications to do anything desired, and it is indeed necessary to grant such a powerful authority to applications to offer as much network programmability as possible. Such powerful capabilities of ONOS applications may introduce potential misuse opportunities or software failures, and eventually affect the behavior of the managed network. In the case of the network with certain requirements (e.g., mission-critical networks), the network operators may want to configure the controller environment to be a bit more conservative by restricting the capability of the applications. For those who wish to configure ONOS to behave in a conservative manner, we propose two features that could be applied to ONOS.

Delta

Delta

In this project, we focus on the vulnerabilities of SDN network environments and aim to systematize or characterize existing vulnerabilities motivated by above questions. Also, besides existing the vulnerabilities, we are trying to find some new vulnerabilities that have not been reported yet. With such out effort, we could disclose some new vulnerabilities, which means that we seriously need to scrutinize the security problems of ongoing SDN techniques. These vulnerabilities explicitly call for the need to develop secure SDN environments.

MFScope

MFScope

There are three main challenges that in-depth analysis on the usages of cryptocurrencies present. First, collecting large-scale data of cryptocurrency on the Dark Web is difficult due to the nature of the Dark Web. Second, because cryptocurrency is designed for people seeking pseudonymity (i.e., hiding who is sending/receiving the money), it is not easy to identify the user/owner of cryptocurrency accounts. Third, even after collecting data related to cryptocurrency in the Dark Web, we still need to gather more information that can be used to reveal its identity for further analysis. To address the challenges, we design a Dark Web data collection and analysis platform, MFScope. Our platform first extracts seed dark website addresses by leveraging Dark Web indexing services and crawls those extracted sites. It also extracts links to other dark websites from the crawled data to increase our data corpus. With this platform,we collect a large number of dark websites (around 27 millions of pages) and cryptocurrency addresses (around 10 millions of unique cryptocurrency addresses). We argue that the analysis of a large amount of data will provide a better understanding of the Dark Web and its usage of cryptocurrency than that of other works relying on a small set of data.

Nothing Found

It seems we can’t find what you’re looking for. Perhaps searching can help.