DDoS-Capable IoT Malwares: comparative analysis and Mirai Investigation

The Internet of Things (IoT) revolution has not only carried the astonishing promise to interconnect a whole generation of traditionally “dumb” devices, but also brought to the Internet the menace of billions of badly protected and easily hackable objects. Not surprisingly, this sudden flooding of fresh and insecure devices fueled older threats, such as Distributed Denial of Service (DDoS) attacks. In this paper, we first propose an updated and comprehensive taxonomy of DDoS attacks, together with a number of examples on how this classification maps to real-world attacks. Then, we outline the current situation of DDoS-enabled malwares in IoT networks, highlighting how recent data support our concerns about the growing in popularity of these malwares. Finally, we give a detailed analysis of the general framework and the operating principles of Mirai, the most disruptive DDoS-capable IoT malware seen so far

Color image processing and object tracking workstation

A system is described for automatic and semiautomatic tracking of objects on film or video tape which was developed to meet the needs of the microgravity combustion and fluid science experiments at NASA Lewis. The system consists of individual hardware parts working under computer control to achieve a high degree of automation. The most important hardware parts include 16 mm film projector, a lens system, a video camera, an S-VHS tapedeck, a frame grabber, and some storage and output devices. Both the projector and tapedeck have a computer interface enabling remote control. Tracking software was developed to control the overall operation. In the automatic mode, the main tracking program controls the projector or the tapedeck frame incrementation, grabs a frame, processes it, locates the edge of the objects being tracked, and stores the coordinates in a file. This process is performed repeatedly until the last frame is reached. Three representative applications are described. These applications represent typical uses and include tracking the propagation of a flame front, tracking the movement of a liquid-gas interface with extremely poor visibility, and characterizing a diffusion flame according to color and shape

INFRAWEBS semantic web service development on the base of knowledge management layer

The paper gives an overview about the ongoing FP6-IST INFRAWEBS project and describes the main layers and software components embedded in an application oriented realisation framework. An important part of INFRAWEBS is a Semantic Web Unit (SWU) – a collaboration platform and interoperable middleware for ontology-based handling and maintaining of SWS. The framework provides knowledge about a specific domain and relies on ontologies to structure and exchange this knowledge to semantic service development modules. INFRAWEBS Designer and Composer are sub-modules of SWU responsible for creating Semantic Web Services using Case-Based Reasoning approach. The Service Access Middleware (SAM) is responsible for building up the communication channels between users and various other modules. It serves as a generic middleware for deployment of Semantic Web Services. This software toolset provides a development framework for creating and maintaining the full-life-cycle of Semantic Web Services with specific application support

Full-automatic recognition of various parking slot markings using a hierarchical tree structure

A full-automatic method for recognizing parking slot markings is proposed. The proposed method recognizes various types of parking slot markings by modeling them as a hierarchical tree structure. This method mainly consists of two processes: bottom-up and top-down. First, the bottom-up process climbs up the hierarchical tree structure to excessively generate parking slot candidates so as not to lose the correct slots. This process includes corner detection, junction and slot generation, and type selection procedures. After that, the top-down process confirms the final parking slots by eliminating falsely generated slots, junctions, and corners based on the properties of the parking slot marking type by climbing down the hierarchical tree structure. The proposed method was evaluated in 608 real-world parking situations encompassing a variety of different parking slot markings. The experimental result reveals that the proposed method outperforms the previous semiautomatic method while requiring a small amount of computational costs even though it is fully automatic

Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session.

At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues. The common theme from attendees was that everyone participating in medical image evaluation with machine learning is data starved. There is an urgent need to find better ways to collect, annotate, and reuse medical imaging data. Unique domain issues with medical image datasets require further study, development, and dissemination of best practices and standards, and a coordinated effort among medical imaging domain experts, medical imaging informaticists, government and industry data scientists, and interested commercial, academic, and government entities. High-level attributes of reusable medical image datasets suitable to train, test, validate, verify, and regulate ML products should be better described. NIH and other government agencies should promote and, where applicable, enforce, access to medical image datasets. We should improve communication among medical imaging domain experts, medical imaging informaticists, academic clinical and basic science researchers, government and industry data scientists, and interested commercial entities

A video object generation tool allowing friendly user interaction

In this paper we describe an interactive video object segmentation tool developed in the framework of the ACTS-AC098 MOMUSYS project. The Video Object Generator with User Environment (VOGUE) combines three different sets of automatic and semi-automatic-tool (spatial segmentation, object tracking and temporal segmentation) with general purpose tools for user interaction. The result is an integrated environment allowing the user-assisted segmentation of any sort of video sequences in a friendly and efficient manner.Peer ReviewedPostprint (published version

TOWARD A DISTRIBUTED DATA MINING SYSTEM FOR TOURISM INDUSTRY

Romania has a huge tourist’s potential, but currently it is too little valued and exploited. As a result, one of the strategic developments of the economy aimed the tourism industry. The strategic decisions are based on different trends obtained from sophtourism industry, data mining techniques, distributed databases

Spartan Daily, February 5, 1990

Volume 94, Issue 6https://scholarworks.sjsu.edu/spartandaily/7936/thumbnail.jp

Upotreba kontribucijske marže u sustavu troškova u proizvodnji dijelova strojeva za obradu drva

The aim of this paper is to propose optimization of costing method for planning a production-sales programme of the chosen engineering enterprise dealing with the production of components for wood working machines. This engineering company uses the calculation pattern methodology in the comprehensive cost accounting system. All costs components are absorbed by individual outputs in this cost calculation. The results of this calculation are not available for decision-making tasks. In order to solve the decision tasks relating to output assortment optimization, it is necessary to show separately variable costs influenced by changes in production volume and fixed costs not influenced by changes in production volume. For these reasons we propose a specific application of retrograde costing as a necessary condition for effective system of decision-making on the basis of contribution margin calculation. The contribution margin/standard hour is the criteria for the calculation in a critical place of production and this is very important information for developing an optimal production-sales programme.Cilj rada je predložiti metodu optimizacije troškova za potrebe planiranja proizvodno-prodajnog programa u tvrtki za proizvodnju dijelova za strojeve za obradu drva. Za kompletan obračun troškova tvrtka se koristi standardnim modelom obračuna, s nepotpunim troškovima. Pri obračunu troškova svi su elementi troška uključeni kao pojedinačne izlazne veličine. Rezultati takve kalkulacije ne mogu se upotrijebiti za donošenje odluka. Posebno je važno pri konačnoj optimizaciji zasebno prikazati varijabilne (mijenjaju se pod utjecajem promjene količine proizvodnje) i fiksne troškove koji se ne mijenjaju s promjenom opsega proizvodnje. Zbog navedenoga u radu se predlaže primjena aplikacije retrogradnog (unazadnog) obračuna troškova na temelju izračuna kontribucijske marže, što je nužan postupak za učinkovito donošenje odluka. Kriterij za izračun na kritičnome mjestu proizvodnje jest kontribucijska marža/norma sat, što je vrlo važan parametar za optimalan proizvodno-prodajni program