Efficient Passive ICS Device Discovery and Identification by MAC Address Correlation

Owing to a growing number of attacks, the assessment of Industrial Control Systems (ICSs) has gained in importance. An integral part of an assessment is the creation of a detailed inventory of all connected devices, enabling vulnerability evaluations. For this purpose, scans of networks are crucial. Active scanning, which generates irregular traffic, is a method to get an overview of connected and active devices. Since such additional traffic may lead to an unexpected behavior of devices, active scanning methods should be avoided in critical infrastructure networks. In such cases, passive network monitoring offers an alternative, which is often used in conjunction with complex deep-packet inspection techniques. There are very few publications on lightweight passive scanning methodologies for industrial networks. In this paper, we propose a lightweight passive network monitoring technique using an efficient Media Access Control (MAC) address-based identification of industrial devices. Based on an incomplete set of known MAC address to device associations, the presented method can guess correct device and vendor information. Proving the feasibility of the method, an implementation is also introduced and evaluated regarding its efficiency. The feasibility of predicting a specific device/vendor combination is demonstrated by having similar devices in the database. In our ICS testbed, we reached a host discovery rate of 100% at an identification rate of more than 66%, outperforming the results of existing tools.Comment: http://dx.doi.org/10.14236/ewic/ICS2018.

Improving the evidence for indicator condition guided HIV testing in Europe: Results from the HIDES II Study - 2012 - 2015

BACKGROUND: It is cost-effective to perform an HIV test in people with specific indicator conditions (IC) with an undiagnosed HIV prevalence of at least 0.1%. Our aim was to determine the HIV prevalence for 14 different conditions across 20 European countries. METHODS: Individuals aged 18-65 years presenting for care with one of 14 ICs between January 2012 and June 2014 were included and routinely offered an HIV test. Logistic regression assessed factors associated with testing HIV positive. Patients presenting with infectious mononucleosis-like syndrome (IMS) were recruited up until September 2015. RESULTS: Of 10,877 patients presenting with an IC and included in the analysis, 303 tested positive (2.8%; 95% CI 2.5-3.1%). People presenting with an IC in Southern and Eastern Europe were more likely to test HIV positive as were people presenting with IMS, lymphadenopathy and leukocytopenia/ thrombocytopenia. One third of people diagnosed with HIV after presenting with IMS reported a negative HIV test in the preceding 12 months. Of patients newly diagnosed with HIV where data was available, 92.6% were promptly linked to care; of these 10.4% were reported lost to follow up or dead 12 months after diagnosis. CONCLUSION: The study showed that 10 conditions had HIV prevalences > 0.1%. These 10 ICs should be adopted into HIV testing and IC specialty guidelines. As IMS presentation can mimic acute HIV sero-conversion and has the highest positivity rate, this IC in particular affords opportunities for earlier diagnosis and public health benefit

CD4/CD8 ratio as a predictor for the occurrence of metabolic syndrome in HIV / AIDS patients during 6 months of cART therapy

© 2019 Refet Gojak, Vesna Hadžiosmanović, Rusmir Baljić, Lamija Zečević, Jozo Ćorić, Željko Mijailović published by Sciendo. HIV infection is characterized by progressive depletion of CD4+ T cells due to their reduced synthesis and increased destruction followed by marked activation and expansion of CD8+ T lymphocytes. CD4/CD8 ratio was traditionally described as a marker of immune system ageing in the general population, but it increasingly appears as a marker of different outcomes in the HIV-infected population. The main objective of this study is to examine the power of CD4/CD8 ratio in predicting the occurrence of metabolic syndrome (MetS) in HIV-positive patients receiving cART therapy. 80 HIV/AIDS subjects were included in a retrospective case-control study. Flow cytometry was used to determine the percentage of CD4+ and CD8+ cells in peripheral blood of these patients. The values of biochemical parameters (triglycerides, HDL, blood sugar, blood counts), immunological parameters (CD4/CD8, PCR), anthropometric measurements and type of cART therapy were evaluated in this study. After six months of cART therapy 19 (23.8%) subjects had all the elements necessary for making the diagnosis of MetS. Using multivariate analysis CD4/CD8 ratio was statistically significant (p 0.05. CD4/CD8 ratio proved to be a significant marker for prediction of metabolic syndrome in HIV/AIDS patients