Showing papers in "Computer Networks and Isdn Systems in 2017"

Aforramientos, pactos y condiciones en los procesos de manumisión, Cali 1750-1810

Abstract: El objetivo de este articulo es estudiar los aforramientos, pactos y condiciones de los procesos de manumision de esclavos de la ciudad de Cali ejecutados entre los anos de 1750 a 1810, periodo en el que las nuevas relaciones sociales estaban transformando el esclavismo. En esta investigacion se analizaron mas de 140 cartas de ahorria y testamentos del fondo Escribanos; con el entrecruzamiento de estas fuentes se demuestra que los esclavos utilizaron diferentes estrategias para agenciar su manumision, en esta via jugaron un papel importante la negociacion continua con sus amos, el afecto y su buen comportamiento, elementos que manipularon a favor de su libertad.

Information Technology for Botnets Detection Based on Their Behaviour in the Corporate Area Network

Abstract: A new information technology for botnets detection based on the analysis of the botnets’ behaviour in the corporate area network is proposed Botnets detection is performing combining two ways: using network-level and host-level analysis One approach makes it possible to analyze the behaviour of the software in the host, which may indicate the possible presence of bot directly in the host and identify malicious software, and another one involves monitoring and analyzing the DNS-traffic, which allows making conclusion about network hosts’ infections with bot of the botnet Based on this information technology an effective botnets detection tool BotGRABBER was constructed It is able to detect bots, that use such evasion techniques as cycling of IP mapping, “domain flux”, “fast flux”, DNS-tunneling Usage of the developed system makes it possible to detect infected hosts by bots of the botnets with high efficiency

Self-similarity Traffic and AQM Mechanism Based on Non-integer Order \(PI^{\alpha }D^{\beta }\) Controller

Abstract: In this paper the performance of fractional order PID controller as AQM mechanism and impact of traffic self-similarity on network utilization are investigated with the use of discrete event simulation models. The researches show the influence of selection of PID parameters and degree of traffic self-similarity on queue behavior. During the tests we analyzed the length of the queue, the number of rejected packets and waiting times in queues. In particular, the paper uses fractional Gaussian noise as a self-similar traffic source. The quantitative analysis is based on simulation.

Behavioral Analysis of Bot Activity in Infected Systems Using Honeypots

Abstract: New Internet threats emerge on daily basis and honeypots have become widely used for capturing them in order to investigate their activities The paper focuses on a detailed analysis of the behavior of various attacks agains 7 Linux–based honeypots The attacks were analyzed according to the threat type, session duration, AS, country and RIR of the attack origin Clusters of similar objects were formed accordingly and certain typical attack patterns for potential detection automation as well as some aspects of threat dissemination were identified

Traffic Flows Ateb-Prediction Method with Fluctuation Modeling Using Dirac Functions

Abstract: In this paper a mathematical model for predicting traffic in computer networks based on heterogeneous differential equations describing the oscillatory motion was proposed It is suggested that the solution to the equation should be modified on the basis of the sum of Dirac functions which have different arguments at different points of time to simulate bursts of network traffic Based on this model, the software implementing network monitoring and forecasting of traffic on the network on the grounds of mathematical calculations and collected data was developed Testing of models based on real network data from LPNU ACS Department was presented Also, the simulation results have been compared with real traffic data The results are illustrated in the form of both tables and plots

Method of the Management of Garbage Collection in the “Smart Clean City” Project

Abstract: This paper presents a solution of the problem of the route calculation for garbage removal trucks The entire system architecture including algorithms of the route calculation, server and client part software, electronic devices on the garbage containers, mobile solution and collaboration with other routing services is presented The dynamic network model and the optimization criterion on containers status and road traffic as well as the knowledge base which form the hybrid control system responsible for time of the garbage collection are introduced

Approaches for In-vehicle Communication – An Analysis and Outlook

Abstract: Electrical and electronic systems have been getting raising importance for innovations in the automotive industry Networking issues are a key factor in this process since they enable distributed control functions and user interaction bringing together nodes from different vendors This paper analyses available and emerging network technologies for in-vehicle communication from a requirements driven perspective It reviews successful network technologies from other application areas regarding a possible deployment in vehicular communication and distinguishes passenger car and commercial vehicle sectors as far as possible This contribution is oriented to the OSI reference model showing the state of the art and future opportunities at the level of the several communication layers with a focus on physical layer issues and medium access protocols and including information modeling aspects

Multi-level Stateful Firewall Mechanism for Software Defined Networks

Abstract: Traditional networks are often quite static, slow to modify, dedicated for a single service and very difficult to scale, what is typical for a large number of different network devices (such as switches, routers, firewalls, and so on), with many complex protocols implemented or embedded on them. Software Defined Network (SDN) is a new technology in communication industry that promises to provide new approach attempting to overcome this weakness of the current network paradigm. The SDN provides a highly scalable and centralized control architecture in which the data plane is decoupled from the control plane; this abstraction gives more flexible, programmable and innovative network architecture. However, centralization of the control plane and ability of programming the network are very critical and challenging tasks causing security problems. In this paper we propose a framework for securing the SDN by introducing an application as an extension to the controller to make it able to check every specific flow in the network and to push the security instructions in real-time down to the network. We also compare our proposal with other existing SDN-based security solutions.

Erlang Service System with Limited Memory Space Under Control of AQM Mechanizm

Abstract: We investigate the \(M/G/n\le \infty /(0,V)\)-type Erlang loss service system with \(n\le \infty \) independent service stations and Poisson arrival stream in which volumes of entering demands and their processing times are generally distributed and, in general, are dependent random variables Moreover, the total volume of all demands present simultaneously in the system is bounded by a non-random value V (system memory capacity) The enqueueing process is controlled by an AQM-type non-increasing accepting function Two different acceptance rules are considered in which the probability of acceptance is dependent or independent on the volume of the arriving demand Stationary queue-size distribution and the loss probability are found for both scenarios of the system behavior Besides, some special cases are discussed Numerical examples are attached as well

Performance Modeling Using Queueing Petri Nets

Abstract: In this paper, a performance model is used for studying distributed web systems (an J2EE web application with Oracle backend-database) Performance evaluation is done by obtaining load test measurements Queueing Petri Nets (QPN) formalism supports modeling and performance analysis of distributed World Wide Web environments The proposed distributed web systems modeling and design methodology has been applied for evaluation of several system architectures under different external loads Experimental analysis is based on benchmark with realistic workload Furthermore, performance analysis is done to determine the system response time

Analytical Modelling of Multi-tier Cellular Networks with Traffic Overflow

Abstract: In the paper, a new analytical model of multi-service communication networks with traffic overflow is elaborated It is assumed that both: primary resources and alternative resources, forming networks with traffic overflow, are distributed, as, eg in mobile networks in which traffic from a group of 4G cells is overflowed to a group of 3G cells The paper proposes also a new method for determining parameters of multi-service traffic that overflows from the distributed primary resources to the distributed alternative resources, as well as a method for occupancy distribution calculation and blocking probability calculation in the alternative resources servicing overflow traffic The results of the analytical calculations are compared with the results of the simulation experiments of some selected structures of overflow systems with the distributed primary and alternative resources

Path Loss Model for a Wireless Sensor Network in Different Weather Conditions

Abstract: The paper presents path loss model for a WSN in an open space on the basis of measurements. The measurements were performed in different weather conditions i.e. temperature and humidity in agricultural area. Theoretical path loss models are always flawed because of their exponential relationship. This causes an increase in error during the localization process. Thus, the determination of the path loss exponent constant based on measurement results become so important. The study focused on designation of the path loss model for different weather conditions. The influence of the temperature and the humidity on the RSSI distribution was analysed.

The Possibilities and Limitations of the Application of the Convolution Algorithm for Modeling Network Systems

Abstract: This article verifies the applicability of the convolution algorithm for modelling multi-service network systems with different call streams, including non-Poissonian streams. The study includes investigations of traffic streams that are state-dependent and independent. The service time is determined by the following distributions: Pareto, uniform, gamma, normal and exponential. The results of the simulation experiments are compared with the results of modelling by convolution algorithm. The results obtained in this study allow limits for the applicability of the convolution algorithm to be determined and identified.

Enhancements of Encryption Method Used in SDEx

Abstract: In the paper, we present enhancements of the encryption method for secure data transmission used in Secure Data Exchange method (SDEx) [1, 2, 3] Potential weaknesses and possible attacks have been previously described in [4] The new version of the encryption method is immune to indicated in [4] vulnerabilities connected with the potential knowledge of the part of the original message and uneven distribution of bits in the message blocks In the new solution, we use also Davies-Meyer scheme in order to enhance immunity to meet-in-the-middle attacks

Improvements of the Reactive Auto Scaling Method for Cloud Platform

Abstract: Elements of cloud infrastructure like load balancers, instances of virtual server (service nodes), storage services are used in an architecture of modern cloud-enabled systems. Auto scaling is a mechanism which allows to on-line adapt efficiency of a system to current load. It is done by increasing or decreasing number of running instances. Auto scaling model uses a statistics based on a standard metrics like CPU Utilization or a custom metrics like execution time of selected business service. By horizontal scaling, the model should satisfy Quality of Service requirements (QoS). QoS requirements are determined by criteria based on statistics defined on metrics. The auto scaling model should minimize the cost (mainly measured by the number of used instances) subject to an assumed QoS requirements. There are many reactive (on current load) and predictive (future load) approaches to the model of auto scaling. In this paper we propose some extensions to the concrete reactive auto scaling model to improve sensitivity to load changes. We introduce the extension which varying threshold of CPU Utilization in scaling-out policy. We extend the model by introducing randomized method in scaling-in policy.

Secure and Reliable Localization in Wireless Sensor Network Based on RSSI Mapping

Abstract: The growing number of mobile devices and the popularity of Internet of Things (IoT) applications have caused an increase of local-area location-aware protocols and applications Localization has become a popular topic in the literature and many localization algorithms in wireless sensor networks (WSN) have been proposed However, the most of them are vulnerable to common wireless attacks In this article, we introduce the secure localization protocol based on a RSSI-mapping, which uses symmetric cryptography The security attributes of the protocol have been proved using the Scyther tool We present the experimental results that demonstrate the ability to estimate sensor’s location in the environment, where other networks are available The results show, that the introduction of security mechanisms to localization protocols may significantly increase the execution time and exceed strict time restrictions in some real-time applications Nevertheless, the existence of insecure protocol in hostile environment is unacceptable To achieve a better efficiency, we suggest to use the hardware encryption provided in CC2420 radio chip

Evaluation of Connectivity Gaps Impact on TCP Transmissions in Maritime Communications

Abstract: Many organizations and research working groups, including among others IEEE, ITU, ETSI and IMO are currently working towards improvements in communication of different types of vehicles (cars, trains, planes and vessels) and upgrading utilities and services offered to their crews and passengers travelling all over the world The paper deals with selected aspects of the TCP protocol connectivity in maritime wireless networks The authors show results of measurements performed in a real-world maritime environment consisting of on- and off-shore devices and transmission systems, partly located on vessels Based on the collected measurements, the authors provide statistical analysis, including connectivity periods and connectivity gaps observed as a result of vessels motions The obtained statistical results were used, in turn, in a simulation test-bed to verify efficiency of TCP connections, assuming the use of Reno algorithm, together with F-RTO enhancement (Forward RTO-Recovery), Cubic algorithm, and further adjustments proposed by the authors The results show significant increase of the average throughput (up to 3 times) and decrease of the average download time (up to 53%), as compared to the pure Reno TCP solution The proposed modifications seem to be especially important and attractive for highly unreliable wireless links - expected to be very common in a maritime environment

Improving Accuracy of a Network Model Basing on the Case Study of a Distributed System with a Mobile Application and an API

Abstract: Nowadays, many IT products are created as distributed solutions that consist of many parts, such as mobile applications, web-based back-ends, as well as APIs that connect various parts of the system. It is a crucial task to apply a suitable architecture to provide users of mobile applications with satisfactory operation, especially when the Internet connection is necessary to get or send some data. The simulation of network architecture and configuration using a high-level model of the system described with dedicated Domain-Specific Language (DSL), enabled by the Timed Colored Petri Nets (TCPNs) formalism is a beneficial approach that could be applied in real case studies. The already proven research method has been applied to one of the scenarios regarding the system offered by TITUTO Sp. z o.o. [Ltd.] company (Rzeszow, Poland). The first obtained results were not sufficiently precise for detailed analysis of the system. Thus, the case study was used to improve the simulation method in order to more accurately model data transmissions over the network. After modifications were implemented in the simulation tool, significantly better results have been received, as discussed in the paper.

Zone-Based VANET Transmission Model for Traffic Signal Control

Abstract: The rising number of vehicles and slowly growing transport infrastructure results in congestion issue Congestion becomes an important research topic for transportation and control sciences The recent advances in vehicular ad-hoc networks (VANETs) allow the traffic control to be tackled as a real-time problem Recent research works have proven that the VANET technology can improve the traffic control at the intersections by dynamically changing sequences of traffic signals Transmission of all vehicle positions data in real-time to a traffic lights controller can generate a significant burden on the communication network, thus this paper is focused on the reduction of data transmitted to a control unit by vehicles The time interval between data transfers from vehicles is defined by zones that are tuned for a given traffic control strategy using the proposed algorithm The introduced zone-based approach reduces the number of transmitted messages, while maintaining the quality of traffic signal control The results of experiments firmly show that the proposed method can be successfully used for various state-of-art traffic control algorithms

A Videoconferencing System Based on WebRTC Technology

Abstract: Last years, videoconferencing systems are rapidly evolving and they are becoming more and more popular as a real time communication tool among users. A technology such as VoIP can be used in conjunction with desktop videoconferencing systems to enable low-cost face-to-face business meetings without a necessity to travel, especially for internationally oriented companies that have offices all around the word. In this paper, we focus on and discuss a videoconferencing platform based on the WebRTC technology. We analyze an impact on the multiplexing server’s CPU load and memory requirements for different number of communicating users while taken into account different HW/SW configurations of end-point devices.

Queueing Systems with Demands of Random Space Requirement and Limited Queueing or Sojourn Time

Abstract: We investigate queueing systems with demands of random space requirements and limited buffer space, in which queueing or sojourn time are limited by some constant value. For such systems, in the case of exponentially distributed service time and Poisson entry, we obtain the steady-state demands number distribution and probability of demands losing.

An Approach for Evaluating Performance of Magnetic-Field Based Indoor Positioning Systems: Neural Network

Abstract: Indoor Positioning Systems are more and more attractive research area and popular studies They provide direct access of instant location information of people in large, complex locations such as airports, museums, hospitals, etc Especially for elders and children, location information can be lifesaving in such complex places Thanks to the smart technology that can be worn, daily accessories such as wristbands, smart clocks are suitable for this job In this study, the earth’s magnetic field data is used to find location of devices Having less noise rather than other type of data, magnetic field data provides high success In this study, with this data, a positioning model is constructed by using Artificial Neural Network (ANN) Support Vector Machines(SVM) was used to compare the results of the model with the ANN Also the accuracy of this model is calculated and how the number of hidden layer of neural network affects the accuracy is analyzed Results show that magnetic field indoor positioning system accuracy can reach 95% with ANN

A comparative analysis of N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) algorithms for indoor localization

Abstract: In this study, performances of classification algorithms N-Nearest Neighbors (N3) and Binned Nearest Neighbor (BNN) are analyzed in terms of indoor localizations. Fingerprint method which is based on Received Signal Strength Indication (RSSI) is taken into consideration. RSSI is a measurement of the power present in a received radio signal from transmitter. In this method, the RSSI information is captured at the reference points and recorded for creating a signal map. The obtained signal map is knows as fingerprint signal map and in the second stage of algorithm is creating a positioning model to detect individual’s position with the help of fingerprint signal map. In this work; N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) algorithms are used to create an indoor positioning model. For this purpose; two different signal maps are used to test the algorithms. UJIIndoorLoc includes multi-building and multi floor signal information while different from this RFKON includes a single-building single floor signal information. N-Nearest Neighbors (N3) and Binned Nearest Neighbors (BNN) algorithms are presented comparatively with respect to success of finding user position.

SLA Life Cycle Automation and Management for Cloud Services

Abstract: Cloud service providers mostly offer service level agreements (SLAs) in descriptive format which is not directly consumable by a machine or a system. Manual management of SLAs with growing usage of cloud services can be a challenging, erroneous and tedious task especially for the cloud service users (CSUs) acquiring multiple cloud services. The necessity of automating the complete SLA life cycle (which includes SLA description in machine readable format, negotiation, monitoring and management) becomes imminent due to complex requirements for the precise measurement of quality of service (QoS) parameters. In this work, the complete SLA life cycle management is presented using an extended SLA specification to support multiple CSU locations. A time efficient SLA negotiation technique is integrated with the extended SLA specification for concurrently negotiating with multiple cloud service providers (CSPs). After a successful negotiation process, the next major task in the SLA life cycle is to monitor the cloud services for ensuring the quality of service according to the agreed SLA. A distributed monitoring approach for the cloud SLAs is elaborated, in this work, which is suitable for services being used at single or multiple locations. The discussed monitoring approach reduces the number of communications of SLA violations to a monitoring coordinator by eliminating the unnecessary communications. The presented work on the complete SLA life cycle automation is evaluated and validated with the help of experiments and simulations.

QoS-Based Power Control and Resource Allocation in Cognitive LTE-Femtocell Networks

Abstract: This paper proposes a new joint power control and resource allocation algorithm in cognitive LTE femtocell networks. The presented algorithm minimizes the transmit power of each femtocell, while satisfying a maximum number of users with QoS requirements. The optimization problem is multi-objective NP-hard. Hence, in the paper a joint channel assignment and power control allocation scheme is proposed, solving the problem so formulated. Especially, a Gale-Shapley method is involved in this scheme to address the co-tier femtocell interference issue. In order to find a pareto optimal solution, a weighted sum is used. The performance of this method is evaluated by simulation.

Software Defined Home Network for Distribution of the SVC Video Based on the DASH Principles

Abstract: With the spread of Dynamic Adaptive Streaming over HTTP (DASH) systems, appeared the problem related to the resources management in end-users’ networks. The article proposes a new solution for the distribution of Scalable Video Coding (SVC) video streams in home networks. It relies on a Software Defined Network (SDN) controller, which based on the parameters of transmitted SVC video and the usage status of network resources allows for dynamic traffic shaping. At the same time, it was assumed that the proposed solution is compatible with Server and Network Assisted DASH (SAND) standard and its implementation is possible without the use of additional, dedicated hardware. The article presents the analysis of influence of proposed SDN on the improvement of the SVC video quality received by DASH clients in a typical home network. Test results confirm the superiority of the proposed system over the conventional solutions.

Impact of histogram construction techniques on information - Theoretic anomaly detection

Abstract: Thanks to its ability to face unknown attacks, anomaly-based intrusion detection is a key research topic in network security. In this paper anomalies are addressed from an Information theory perspective: in a nutshell, it is assumed that attacks determine a significant change in the distribution of relevant traffic descriptors and this change is measured in terms of Shannon entropy. In more detail, the traffic is first aggregated by means of random data structures (namely three-dimensional reversible sketches) and then the entropy associated to different traffic descriptors (for sake of brevity, we focus on the numbers of flows and bytes) is computed by using two alternative constructions of the corresponding empirical distributions, one based on the flows destination address and the other on their volume. The experimental results obtained over the MAWILab dataset validate the system and demonstrate the relevance of the way in which the histogram is built.

Las intervenciones de los parlamentarios socialistas argentinos en la Cámara de Diputados de la Nación: la cuestión nacional en su dimensión política, 1912-1917

Abstract: El presente trabajo explora la idea de nacion que poseia el Partido Socialista argentino, a traves de la intervencion de su bloque parlamentario en la Camara de Diputados de la Nacion durante el periodo de 1912 a 1917. En ese sentido, el recorrido por las fuentes nos permite repensar la cuestion desde una perspectiva particular: el nacionalismo en su dimension politica teniendo en cuenta aquellas discusiones parlamentarias donde los socialistas se hayan destacado. En ese marco, estos construyen una idea resignificada de nacion donde converge un discurso nacionalista liberal apoyado en el precepto de ciudadania, con una nocion evolucionista de la nacion cuya ultima etapa es la lucha entre clase obrera y clase capitalista. Para los socialistas, la lucha de clases era un fenomeno inevitable en el desarrollo del proceso historico nacional y condicion necesaria para lograr un nacionalismo pleno.

A Qutrit Switch for Quantum Networks

Abstract: The chapter contains information about a construction of quantum switch for qutrits. It is an expansion of the idea of quantum switch for qubits. For the networks based on quantum effects the switch could realize an operation of changing the direction of transferred information. A presented definition of quantum switch may be easily generalized to qudits. The chapter contains also the figures representing circuits realizing the quantum switch and a proof of its correctness. Additionally, there is an analysis of entanglement level in the circuit which also characterizes the correct operating of the switch.

Quantum Direct Communication Wiretapping

Abstract: The analyses of the ping-pong communication paradigm anticipated possibility to undetectably wiretap some variants of quantum direct communication The only proposed so far instantiation of attacks of this type is formulated for the qubit based version of the protocol and it implicitly assumes the existence of losses The essential features of undetectable attack transformations are identified in the study and the new generic eavesdropping scheme is proposed The scheme does not refer to the properties of the vacuum state, so it is fully consistent with the absence of losses assumption It is formulated for the space of any dimension and it can be used to design the family of circuits that enable undetectable eavesdropping