gebhart/patrepeval huggingface dataset:
Understanding Linux Malware (2018)

For the past two decades, the security community has been fighting malicious programs for Windows-based operating systems. However, the recent surge in adoption of embedded devices and the IoT revolution are rapidly changing the malware landscape. Embedded devices are profoundly different than traditional personal computers. In fact, while personal computers run predominantly on x86-flavored architectures, embedded systems rely on a variety of different architectures. In turn, this aspect causes a large number of these systems to run some variants of the Linux operating system, pushing malicious actors to give birth to "Linux malware." To the best of our knowledge, there is currently no comprehensive study attempting to characterize, analyze, and understand Linux malware. The majority of resources on the topic are available as sparse reports often published as blog posts, while the few systematic studies focused on the analysis of specific families of malware (e.g., the Mirai botnet) mainly by looking at their network-level behavior, thus leaving the main challenges of analyzing Linux malware unaddressed. This work constitutes the first step towards filling this gap. After a systematic exploration of the challenges involved in the process, we present the design and implementation details of the first malware analysis pipeline specifically tailored for Linux malware. We then present the results of the first large-scale measurement study conducted on 10,548 malware samples (collected over a time frame of one year) documenting detailed statistics and insights that can help directing future work in the area.
Formally verified latency-aware VNF placement in industrial Internet of things (2018)

The innovative applications of 5G core technologies, namely Software Defined Networking (SDN) and Network Function Virtualization (NFV), are the key enabling technologies of industrial Internet of things (IIoT) to improve data network robustness. In the industrial scenario, with strict demands on end-to-end latency and reliability during critical events, these technologies can be leveraged to construct chains of network functions (service graphs) characterized by guarantees about latency, jitter, packet loss or redundancy. Moreover, real-time monitoring techniques provided by network virtualization help in mitigating critical events (e.g. failures or network attacks), which can be faced by updating the service graph and imposing new policies in the network. In practice, the distributed and safety-critical nature of IIoT applications requires both an intelligent placement of services across physically separated locations, which has a direct impact on latency, and a proper policy enforcement system, which guarantees service reliability, safety, and security. This paper considers both aspects by proposing a novel Virtual Network Function (VNF) placement solution for IIoT that minimizes the overall latency and, at the same time, also verifies that network-wide policies such as connectivity or isolation hold between the endpoints. In particular, this work relies on recent advances in SMT (Satisfiability Modulo Theories) solvers, which are being enhanced to solve the Maximum Satisfiability (MaxSAT) problem.
6-(Phenylthio)-substituted 2,3,4,5-tetrahydro-1H-3-benzazepines, a novel class of dopamine receptor antagonists and neuroleptics (1980)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXT6-(Phenylthio)-substituted 2,3,4,5-tetrahydro-1H-3-benzazepines, a novel class of dopamine receptor antagonists and neurolepticsCarl Kaiser, Fadia E. Ali, William E. Bondinell, Martin Brenner, Kenneth G. Holden, Thomas W. Ku, Hye-Ja Oh, Stephen T. Ross, Nelson C. F. Yim, and Cite this: J. Med. Chem. 1980, 23, 9, 975–976Publication Date (Print):September 1, 1980Publication History Published online1 May 2002Published inissue 1 September 1980https://pubs.acs.org/doi/10.1021/jm00183a002https://doi.org/10.1021/jm00183a002research-articleACS PublicationsRequest reuse permissionsArticle Views158Altmetric-Citations14LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Results of NMR spectroscopic studies of hydrocarbon conversions on solid acid catalysts in the last 25 years (2010)

High-resolution solid-state NMR studies of hydrocarbon conversions on the surface of solid acid catalysts are overviewed. The results of identification of hydrocarbons adsorbed on solid acid catalysts are presented. Alkane activation and hydrocarbon conversion mechanisms and the nature of reactive intermediates are discussed. It is demonstrated that NMR spectroscopy can be used not only in the in situ analysis of hydrocarbons on the catalyst surface, but also as a method for seeking new hydrocarbon conversion routes.
Diaryliodonium Salts. VII. 2,2'-Dithienyl- and Phenyl-2-thienyliodonium Salts<sup>1</sup> (1958)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDiaryliodonium Salts. VII. 2,2'-Dithienyl- and Phenyl-2-thienyliodonium Salts1F. Marshall Beringer, H. Elizabeth Bachofner, Robert A. Falk, and Milton LeffCite this: J. Am. Chem. Soc. 1958, 80, 16, 4279–4281Publication Date (Print):August 1, 1958Publication History Published online1 May 2002Published inissue 1 August 1958https://pubs.acs.org/doi/10.1021/ja01549a039https://doi.org/10.1021/ja01549a039research-articleACS PublicationsRequest reuse permissionsArticle Views372Altmetric-Citations31LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts