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2009; Jongman et al. If validation of flood risk estimates is sparse, the credibility of such estimates may be harmed. A case in point is the apparent overestimation of risk at larger scales (Penning-Rowsell 2013, 2015). Bouwer et al. 2009) even found that using a 100-m grid instead of a 25-m grid for the same case study area already resulted in damage estimates up to 50 % higher, mainly because the relative share of urban land use classes increases at a lower resolution. These studies thus suggest that assessments using a higher level of detail result in lower estimates of risk. There can be various reasons for this, such as the use of the full value at risk as damage, overestimating the fraction of urban land use or using spatially uniform return periods over a large area (larger than a single event). The consequences of flooding mainly relate to physical assets, with vulnerability used in the context of how easily assets get damaged by floods (i.e. the depth-damage curves).

The project has been forked. A well known example is when ffmpeg was forked to create libav. This is usually a traumatic event for the project, and can have repercussions that last for years. The precise considerations that should go into forking a project, these repercussions and how to address them, and other musings are better suited for a separate article. But this is what "fork" meant before GitHub, and this meaning is still used today - albeit more ambiguously. If "fork" already had this meaning, why did GitHub adopt their model? The answer, as it often will be, is centralization of power. GitHub is a proprietary, commercial service, and their ultimate goal is to turn a profit. The design of GitHub’s fork and pull request model creates a cathedral that keeps people on their platform in a way that a bazaar would not. A distributed version control system like git, built on a distributed communications protocol like email, is hard to disrupt with a centralized service.

Hands-On Training of Vehicle Networking Systems, Vehicle Embedded Systems, and the Security Systems Enabled to Prevent Manipulation of These Systems. This course provides a solid foundation in cloud security, and includes a full day of hands-on labs to apply the principles in practice. It also includes new, expanded material for advanced students. We cover all the material needed to pass the updated version 4 of the Cloud Security Alliance Certificate of Cloud Security Knowledge (CCSK) exam, but add a pragmatic approach to immediate kick start your cloud security projects. For Black Hat, we also add expanded material to show you how to take cloud security to the next level by leveraging DevOps techniques and the characteristics of the cloud. This intense four-day course is designed to teach advanced offensive techniques to provide you with the ultimate skillset to test your existing security controls. You will learn proven Mandiant Red Team methodologies that start with the successful TTPs we see used by advanced attackers and builds upon them to be even more effective and stealthy.

Every attack relying malicious email tries to exploit the weakest link of a security chain, the humans. It is clear that it is important to spread basic knowledge of email security in order to reduce drastically the success rate of the attacks. Why criminals are interested my email account? What is the commercial value of a hacked email account? A couple of years ago, the popular investigator Brian Krebs published an interesting post to explain the commercial value of a hacked email account. The article provided useful information on the business model behind the theft of these precious commodities. Email accounts are the containers where crooks can access an infinite amount of information, including passwords, documents, credit card data, utility bills and much more. A fraudster taking over a victim's account could discover his network of contacts, examine his habits, find information about his expenses (e.g. Travel, books, etc.), and then use the hacked email account to gain the access to the accounts of other web services (i.e. Facebook, eBay, PayPal, other email accounts).

Ottawa, ON: Institute for Research in Construction, National Research Council Canada. Tanes, Z., and Cho, H. (2013). Goal setting outcomes: examining the role of goal interaction in influencing the experience and learning outcomes of video game play for earthquake preparedness. TenBroek, M. J., Perala, P., Hupy, C., Rolfe, C., and Sherman, B. J. (2002). Use of footing drain disconnection to correct basement backups in Ann Arbor, Michigan. Proc. Water Environ. Feder. Terpstra, T. (2011). Emotions, trust, and perceived risk: affective and cognitive routes to flood preparedness behavior. Terpstra, T., Lindell, M. K., and Gutteling, J. M. (2009). Does communicating (flood) risk affect (flood) risk perceptions? Results of a quasi-experimental study. Thomas, T. N., Sobelson, R. K., Wigington, C. J., Davis, A. L., Harp, V. H., Leander-Griffith, M., et al. 2018). Applying instructional design strategies and behavior theory to household disaster preparedness training. J. Public Health Manage. Toronto Water (2020). 2020 Basement Flooding Protection Program Update. IE17.5 Report for Action (Toronto, ON). Town of Tecumseh (2016). Town of Tecumseh Flooding Event. News Release. Alexandria, VA: Town of Tecumseh. Water Environment Federation (2006). Methods for Cost-Effective Rehabilitation of Private Lateral Sewers. Alexandria: Water Environment Research Foundation. White, E., Knighton, J., Martens, G., Plourde, "http://3gvisio.com/__media__/js/netsoltrademark.php?d=Www.Security.Sbm.pw%2Fuser%2Fkarenr6719%2F M., and Rajan, R. (2013). Geoprocessing tools for surface and basement flooding analysis in SWMM. J. Water Manage. Model. Worsely, B. (2005). City of Peterborough Flood Reduction Master Plan. Peterborough, ON: City of Peterborough; UMA/AECOM. Yang, L., Smith, J. A., Baeck, M. L., and Zhang, Y. (2016). Flash flooding in small urban watersheds: storm event hydrologic response. York Region (n.d.). Sewage Backup Factsheet. Zhu, Z., and Chen, X. (2017). Evaluating the effects of low impact development practices on urban flooding under different rainfall intensities.