A performance evaluation of machine learning-based streaming spam tweets detection

The popularity of Twitter attracts more and more spammers. Spammers send unwanted tweets to Twitter users to promote websites or services, which are harmful to normal users. In order to stop spammers, researchers have proposed a number of mechanisms. The focus of recent works is on the application of machine learning techniques into Twitter spam detection. However, tweets are retrieved in a streaming way, and Twitter provides the Streaming API for developers and researchers to access public tweets in real time. There lacks a performance evaluation of existing machine learning-based streaming spam detection methods. In this paper, we bridged the gap by carrying out a performance evaluation, which was from three different aspects of data, feature, and model. A big ground-truth of over 600 million public tweets was created by using a commercial URL-based security tool. For real-time spam detection, we further extracted 12 lightweight features for tweet representation. Spam detection was then transformed to a binary classification problem in the feature space and can be solved by conventional machine learning algorithms. We evaluated the impact of different factors to the spam detection performance, which included spam to nonspam ratio, feature discretization, training data size, data sampling, time-related data, and machine learning algorithms. The results show the streaming spam tweet detection is still a big challenge and a robust detection technique should take into account the three aspects of data, feature, and model.

UV interactions with fibres and fibrous structures

 In this research, the effects of fibre, yarn and fabric parameters on the UV protective properties were studied, and the results were interpreted by various developed models. An optimised knitted fabric for a lightweight spring/summer application with high UV protection and good thermal comfort was proposed from this systematic investigation.

SECURITY, PRIVACY AND APPLICATIONS IN VEHICULAR AD HOC NETWORKS

With wireless vehicular communications, Vehicular Ad Hoc Networks (VANETs) enable numerous applications to enhance traffic safety, traffic efficiency, and driving experience. However, VANETs also impose severe security and privacy challenges which need to be thoroughly investigated. In this dissertation, we enhance the security, privacy, and applications of VANETs, by 1) designing application-driven security and privacy solutions for VANETs, and 2) designing appealing VANET applications with proper security and privacy assurance. First, the security and privacy challenges of VANETs with most application significance are identified and thoroughly investigated. With both theoretical novelty and realistic considerations, these security and privacy schemes are especially appealing to VANETs. Specifically, multi-hop communications in VANETs suffer from packet dropping, packet tampering, and communication failures which have not been satisfyingly tackled in literature. Thus, a lightweight reliable and faithful data packet relaying framework (LEAPER) is proposed to ensure reliable and trustworthy multi-hop communications by enhancing the cooperation of neighboring nodes. Message verification, including both content and signature verification, generally is computation-extensive and incurs severe scalability issues to each node. The resource-aware message verification (RAMV) scheme is proposed to ensure resource-aware, secure, and application-friendly message verification in VANETs. On the other hand, to make VANETs acceptable to the privacy-sensitive users, the identity and location privacy of each node should be properly protected. To this end, a joint privacy and reputation assurance (JPRA) scheme is proposed to synergistically support privacy protection and reputation management by reconciling their inherent conflicting requirements. Besides, the privacy implications of short-time certificates are thoroughly investigated in a short-time certificates-based privacy protection (STCP2) scheme, to make privacy protection in VANETs feasible with short-time certificates. Secondly, three novel solutions, namely VANET-based ambient ad dissemination (VAAD), general-purpose automatic survey (GPAS), and VehicleView, are proposed to support the appealing value-added applications based on VANETs. These solutions all follow practical application models, and an incentive-centered architecture is proposed for each solution to balance the conflicting requirements of the involved entities. Besides, the critical security and privacy challenges of these applications are investigated and addressed with novel solutions. Thus, with proper security and privacy assurance, these solutions show great application significance and economic potentials to VANETs. Thus, by enhancing the security, privacy, and applications of VANETs, this dissertation fills the gap between the existing theoretic research and the realistic implementation of VANETs, facilitating the realistic deployment of VANETs.

A Collaborative Mobile Crowdsensing System for Smart Cities

Nowadays words like Smart City, Internet of Things, Environmental Awareness surround us with the growing interest of Computer Science and Engineering communities. Services supporting these paradigms are definitely based on large amounts of sensed data, which, once obtained and gathered, need to be analyzed in order to build maps, infer patterns, extract useful information. Everything is done in order to achieve a better quality of life. Traditional sensing techniques, like Wired or Wireless Sensor Network, need an intensive usage of distributed sensors to acquire real-world conditions. We propose SenSquare, a Crowdsensing approach based on smartphones and a central coordination server for time-and-space homogeneous data collecting. SenSquare relies on technologies such as CoAP lightweight protocol, Geofencing and the Military Grid Reference System.

Adaptive edge analytics for distributed networked control of water systems

Over the last decade, there has been a trend where water utility companies aim to make water distribution networks more intelligent in order to improve their quality of service, reduce water waste, minimize maintenance costs etc., by incorporating IoT technologies. Current state of the art solutions use expensive power hungry deployments to monitor and transmit water network states periodically in order to detect anomalous behaviors such as water leakage and bursts. However, more than 97% of water network assets are remote away from power and are often in geographically remote underpopulated areas, facts that make current approaches unsuitable for next generation more dynamic adaptive water networks. Battery-driven wireless sensor/actuator based solutions are theoretically the perfect choice to support next generation water distribution. In this paper, we present an end-to-end water leak localization system, which exploits edge processing and enables the use of battery-driven sensor nodes. Our system combines a lightweight edge anomaly detection algorithm based on compression rates and an efficient localization algorithm based on graph theory. The edge anomaly detection and localization elements of the systems produce a timely and accurate localization result and reduce the communication by 99% compared to the traditional periodic communication. We evaluated our schemes by deploying non-intrusive sensors measuring vibrational data on a real-world water test rig that have had controlled leakage and burst scenarios implemented.

On the race of worms and patches: modeling the spread of information in wireless sensor networks

Sensor networks are a branch of distributed ad hoc networks with a broad range of applications in surveillance and environment monitoring. In these networks, message exchanges are carried out in a multi-hop manner. Due to resource constraints, security professionals often use lightweight protocols, which do not provide adequate security. Even in the absence of constraints, designing a foolproof set of protocols and codes is almost impossible. This leaves the door open to the worms that take advantage of the vulnerabilities to propagate via exploiting the multi-hop message exchange mechanism. This issue has drawn the attention of security researchers recently. In this paper, we investigate the propagation pattern of information in wireless sensor networks based on an extended theory of epidemiology. We develop a geographical susceptible-infective model for this purpose and analytically derive the dynamics of information propagation. Compared with the previous models, ours is more realistic and is distinguished by two key factors that had been neglected before: 1) the proposed model does not purely rely on epidemic theory but rather binds it with geometrical and spatial constraints of real-world sensor networks and 2) it extends to also model the spread dynamics of conflicting information (e.g., a worm and its patch). We do extensive simulations to show the accuracy of our model and compare it with the previous ones. The findings show the common intuition that the infection source is the best location to start patching from, which is not necessarily right. We show that this depends on many factors, including the time it takes for the patch to be developed, worm/patch characteristics as well as the shape of the network.

Diagnostico estratégico del suministro de hemocomponentes en Colombia y posibles alternativas de mejora

Objetivo: realizar un diagnóstico respecto a la oferta demanda de hemocomponentes, en el contexto epidemiológico colombiano para que sirva de base en la formulación de futuros modelos logísticos de cadena de suministro que permita responder eficientemente a las necesidades transfusionales del país Método: se realizó un estudio descriptivo retrospectivo basado en las fuentes oficiales de información colombiana respecto a condiciones epidemiológicas poblacionales y su relación respecto a captación y transfusión de sangre, así como las posibilidades de conexiones aéreas. Resultados: actualmente 62.3% de la captación es aportada principalmente por 19% de los bancos de sangre del país (16 / 82), ubicados en 8 ciudades del país las cuales evidencian mejores condiciones de salud e índices de densidad poblacional superiores al promedio nacional. Adicionalmente, desde estas ciudades se puede hacer cubrimiento de hemocomponentes en todo el territorio nacional dadas las condiciones de las conexiones aéreas. Conclusiones: es posible con base en el diagnostico presentado, plantear opciones que apunten a mejorar la eficiencia en la cadena de suministros de hemocomponentes, centralizando la captación de sangre en las áreas donde se cuenta con mejores condiciones de salud y mayores densidades poblacionales. Lo anterior permitiría minimizar los porcentajes de incineración de unidades de glóbulos rojos por vencimiento al mejorar las redes de distribución y de esta manera reducir costos de operación. Debe además fortalecerse la gestión de inventarios desde los servicios de transfusión para lograr minimizar las perdidas. Lo anterior requiere control gubernamental dado que al considerarse la sangre como un bien de interés público, su uso no puede ser indiscriminado.

Plan de Mercadeo FORTEACERO S.A.S

FORTEACERO S.A.S es una empresa con sede en Bogotá, creada en el año 2012 como filial de la empresa ESCAYOLA Ltda., dedicada a la fabricación de perfiles, masilla, pintura y comercialización de productos para la construcción liviana, dentro de los que se incluyen drywall, PVC y los elementos necesarios para su instalación. Por el crecimiento y dinamismo del mercado al cual pertenece esta empresa, la organización vio la necesidad de crear un plan de mercadeo para identificar a partir de este oportunidades y planes de acción, con el propósito de tener un mejor desempeño en el mercado mediante el incremento en ventas y reconocimiento para la empresa por parte de los clientes y los competidores. El objetivo de este plan de mercadeo es incrementar las ventas en un 28% por medio de estrategias que se describen puntualmente en este documento.

Influência de polímeros superabsorventes na retracção de argamassas

Hoje em dia, o desenvolvimento dos superplastificantes permite a produção de betões com menor razão água/cimento. Ao usar razões água/cimento mais baixas, os materiais científicos apresentam maior tendência para fissurar devido à retracção autogénea. Este trabalho apresenta um estudo sobre a utilização de polímeros superabsorventes (SAP) no controlo da retracção. O uso de SAPs em materiais comentícios atenua a retracção autogénea pois estes produtos permitem o fornecimento interno de água. Estes produtos podem também afectar outras propriedades, afectando as características mecânicas e a trabalhabilidade. Para análise do efeito dos SAP foram estudadas argamassas com várias concentrações deste produto, tendo como referência argamassas semelhantes sem SAP, determinando-se as retracções autogénea e total, a resistência à compressão e o módulo de elasticidade. Além de SAP, foi também utilizado um agregado leve, um outro tipo de introdutor de água, para comparação com os polímeros em estudo. /ABSTRACT: This work presents a study on the use of superabsorbent polymers (SAP) in the control of shrinkage. The use of SAPs in cementitious materials reduces the autogenous shrinkage because these products enable the internal supply of water. These materials can also affect other properties such as mechanical properties and workability. To analyze the effect of SAP, mortars containing various concentrations of this product were studied, in comparison with reference mortars without SAP. The tests performed were autogenous and total shrinkage, compressive strength and modulus of elasticity. Besides SAP, it was also used a lightweight aggregate, another type of internal supply of water, for comparison with the polymers under study.