Since the early 90's, while working at the Defense Advanced Research Projects Agency (DARPA) George has been involved in Internet Security and building Communities of Interest, Extranets, Portals, and other tools that focus on providing a secure platform for secure information sharing. Currently George serves as CSO of NC4 where he is responsible for working with the business units to integrate security into the corporate processes - from requirements, SDLC, testing, to production and retirement of systems. He spent two years at Carnegie Mellon as Technical Director, Extranet for Security Professionals working at the Software Engineering Institute further maturing the processes and methodologies necessary to promote security as a principal requirement to information systems. From there he went on to found The ESP Group, which was arguably the first security differentiated collaboration company on the market.

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A new meta-heuristic algorithm named stock exchange trading optimization (SETO) algorithm is proposed for solving numerical and engineering optimization problems. Most of the control parameters of SETO are already known and configured using the data drawn from the stock exchange and scientific resources about technical analysis. This issue turns the SETO into an optimizer quite easy to implement and execute.

Bisyron Wahyudi is the Vice Chairman of ID-SIRTII/CC (Indonesia Security Incident Response Team on Internet Infrastructure) for Data Center and Application. He pursued his postgraduate study in Software Engineering from Institute of Technology Bandung, Indonesia and Universite’ Thomson, France. He's also been working for more than ten years in the field of network and information security. Broad range Solution Architect with various exposures on enterprise solution development, solution architecture designing, and solution delivery. He is actively involved in several information and network security working groups, workshops, and trainings in the area of cyber security collaboration, capacity building, critical information infrastructure protection, information security standard and compliance, incident handling and CERT/CSIRT establishment & management. He is a computer scientist with over twenty years of professional experience in Software/Application development.

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This workshop will give a concise guide on how to properly deploy networked services in a secure fashion that is applicable today. We will also give an update on the project as well as new development on the front of cryptography, attacks and TLS protocol standardization.

The experimental results confirm the superiority of the proposed SETO compared with counterparts. Forty single-objective numerical optimization functions from CEC competitions and four engineering design problems are used to evaluate the performance of the SETO and comparison algorithms.

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Classification is used for data that is separated into categories with each category represented by a label. The training data must contain the labels and must have sufficient observations of each label so that the accuracy of the model is respectable. Some popular classification models include:

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Before we dig into the any classification model in detail, we need to prepare the data for training the algorithm. The cleaning we need for this dataset is to change the string names of the flowers to integer values so the algorithm can classify them properly. For more techniques on how to handle missing and NaN values read this article. We also need to drop the observations having NaN values. For a detailed understanding of Data Cleaning, you can check out this article. The first step is to pre-process and clean the data.