Behavioral Analysis Of Malicious Code Through Network Traffic And System Call Monitoring

Malicious code (malware) that spreads through the Internet-such as viruses, worms and trojans-is a major threat to information security nowadays and a profitable business for criminals. There are several approaches to analyze malware by monitoring its actions while it is running in a controlled environment, which helps to identify malicious behaviors. In this article we propose a tool to analyze malware behavior in a non-intrusive and effective way, extending the analysis possibilities to cover malware samples that bypass current approaches and also fixes some issues with these approaches. © 2011 SPIE.8059The Society of Photo-Optical Instrumentation Engineers (SPIE)Balzarotti, D., Cova, M., Karlberger, C., Kruegel, C., Kirda, E., Vigna, G., Efficient detection of split personalities in malware (2010) 17th Annual Network and Distributed System Security SymposiumBayer, U., Habibi, I., Balzarotti, D., Kirda, E., Kruegel, C., A view on current malware behaviors (2009) Usenix Workshop on Large-scale Exploits and Emergent Threats (LEET)Bayer, U., Kruegel, C., Kirda, E., TTanalyze: A tool for analyzing malware (2006) Proc. 15th Ann. Conf. European Inst. for Computer Antivirus Research (EICAR), pp. 180-192Bellard, F., QEMU, a fast and portable dynamic translator (2005) Proc. of the Annual Conference on USENIX Annual Technical Conference, pp. 41-41. , USENIX AssociationBinsalleeh, H., Ormerod, T., Boukhtouta, A., Sinha, P., Youssef, A., Debbabi, M., Wang, L., On the analysis of the zeus botnet crimeware toolkit (2010) Proc. of the Eighth Annual Conference on Privacy, Security and Trust, PST'2010Blunden, B., (2009) The Rootkit Arsenal: Escape and Evasion in the Dark Corners of the System, , Jones and Bartlett Publishers, Inc, 1th editionChoi, Y., Kim, I., Oh, J., Ryou, J., PE file header analysis-based packed pe file detection technique (PHAD) (2008) Proc of the International Symposium on Computer Science and Its Applications, pp. 28-31Dinaburg, A., Royal, P., Sharif, M., Lee, W., Ether: Malware analysis via hardware virtualization extensions (2008) Proc. Proceedings of the 15th ACM Conference on Computer and Communications Security (CCS 2008), , OctoberFather, H., Hooking windows API-technics of hooking API functions on windows (2004) CodeBreakers J., 1 (2)Franklin, J., Paxson, V., Perrig, A., Savage, S., An inquiry into the nature and causes of the wealth of internet miscreants (2007) Conference on Computer and Communications Security (CCS)Garfinkel, T., Rosenblum, M., A virtual machine introspection based architecture for intrusion detection (2003) Proc. Network and Distributed Systems Security Symposium, pp. 191-206Hoglund, G., Butler, J., (2005) Rootkits: Subverting the Windows Kernel, , Addison- Wesley Professional, 1th editionHolz, T., Engelberth, M., Freiling, F., Learning more about the underground economy: A case-study of keyloggers and dropzones (2008) Reihe Informatik TR-2008-006, , University of Mannheimhttp://www.joebox.org/Kang, M.G., Poosankam, P., Yin, H., Renovo: A hidden code extractor for packed exe-cutables (2007) Proc. of the 2007 ACM Workshop on Recurring Malcode (WORM 2007)Kong, J., (2007) Designing BSD Rootkits, , No Starch Press, 1th editionLeder, F., Werner, T., Know your enemy: Containing conficker (2009) The Honeynet Project & Research AllianceMartignoni, L., Christodorescu, M., Jha, S., Omniunpack: Fast, generic, and safe unpack-ing of malware (2007) Proc. of the Annual Computer Security Applications Conference (ACSAC)http://download.microsoft.com/download/9/c/5/9c5b2167-8017-4bae-9fde- d599bac8184a/pecoff_v8.docxMoser, A., Kruegel, C., Kirda, E., Limits of static analysis for malware detection (2007) ACSAC, pp. 421-430. , IEEE Computer Societyhttp://www.securelist.com/en/descriptions/old145521http://www.softpanorama.org/Malware/Malware_defense_history/ Malware_gallery/Network_worms/allaple_rahack.shtmlSong, D., Brumley, D., Yin, H., Caballero, J., Jager, I., Kang, M.G., Liang, Z., Saxena, P., BitBlaze: A new approach to computer security via binary analysis (2008) Proc. of the 4th International Conference on Information Systems SecurityWillems, G., Holz, T., Freiling, F., Toward automated dynamic malware analysis using CWSandbox (2007) IEEE Security and Privacy, 5 (2), pp. 32-39. , DOI 10.1109/MSP.2007.45Yegneswaran, V., Saidi, H., Porras, P., Eureka: A framework for enabling static analysis on malware (2008) Technical Report SRI-CSL-08-01 Computer Science Laboratory and College of Computing, , Georgia Institute of Technolog

Indicadores De Desempenho Motor Como Preditores De Fragilidade Em Idosos Cadastrados Em Uma Unidade De Saúde Da Família

This study aimed to identify the motor performance tests more strongly associated with frailty and respective cut-off points and verify the best motor performance indicator as screening tool to discriminate frailty in elderly registered in Family Health Unit Participated in the study 139 elderly aged ≥60 years 105 women and 34 men The frailty was identified by the criteria of Fried et al (2001) The motor performance tests realized were: Handgrip strength (HS) sit-to-stand test walk test (WT) and pick up a pen test Logistic regression analysis was used to associate the motor performance tests and frailty The cutoff points were evaluated by parameters provided by Receiver Operating Characteristic curve (ROC) with significance level of 5% Data were analyzed using SPSS 210 and MedCalc The mean age was 7232 ± 84 The walk test was positively associated with frailty (OR 130; p <001) and handgrip strength in elderly women was inversely associated with frailty on feminine sex (OR 074; p <0001) The WT presented a cutoff 5s (sensitivity 889 and specificity 745%) and the handgrip in the women obtained a cutoff point 146 kgf (sensitivity 833 and specificity 790%) It was concluded that the walk test was the best screening indicator to discriminate the frailty in elderly both sexes registered in a Family Health Unit. © Edições Desafio Singular.122889

A Bayesian Modelling of Wildfires in Portugal

In the last decade wildfires became a serious problem in Portugal due to different issues such as climatic characteristics and nature of Portuguese forest. In order to analyse wildfire data, we employ beta regression for modelling the proportion of burned forest area, under a Bayesian perspective. Our main goal is to find out fire risk factors that influence the proportion of area burned and what may make a forest type susceptible or resistant to fire. Then, we analyse wildfire data in Portugal during 1990-1994 through Bayesian beta models t

The GOBLET training portal: A global repository of bioinformatics training materials, courses and trainers

Summary: Rapid technological advances have led to an explosion of biomedical data in recent years. The pace of change has inspired new collaborative approaches for sharing materials and resources to help train life scientists both in the use of cutting-edge bioinformatics tools and databases and in how to analyse and interpret large datasets. A prototype platform for sharing such training resources was recently created by the Bioinformatics Training Network (BTN). Building on this work, we have created a centralized portal for sharing training materials and courses, including a catalogue of trainers and course organizers, and an announcement service for training events. For course organizers, the portal provides opportunities to promote their training events; for trainers, the portal offers an environment for sharing materials, for gaining visibility for their work and promoting their skills; for trainees, it offers a convenient one-stop shop for finding suitable training resources and identifying relevant training events and activities locally and worldwide