International Journal of Computer Network and Information Security @ijcnis
Статьи журнала - International Journal of Computer Network and Information Security
Все статьи: 1188
Статья научная
This article considers the method of analyze potentially vulnerable places during development of topology for fault-tolerant systems based on using betweenness coefficient. Parameters of different topological organizations using De Bruijn code transformation are observed. This method, assessing the risk for possible faults, is proposed for other topological organizations that are analyzed for their fault tolerance and to predict the consequences of simultaneous faults on more significant fragments of this topology.
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Feature Based Audio Steganalysis (FAS)
Статья научная
Taxonomy of audio signals containing secret information or not is a security issue addressed in the context of steganalysis. A cover audio object can be converted into a stego-audio object via different steganographic methods. In this work the authors present a statistical method based audio steganalysis technique to detect the presence of hidden messages in audio signals. The conceptual idea lies in the difference of the distribution of various statistical distance measures between the cover audio signals and their denoised versions i.e. stego-audio signals. The design of audio steganalyzer relies on the choice of these audio quality measures and the construction of two-class classifier based on KNN (k nearest neighbor), SVM (support vector machine) and two layer Back Propagation Feed Forward Neural Network (BPN). Experimental results show that the proposed technique can be used to detect the small presence of hidden messages in digital audio data. Experimental results demonstrate the effectiveness and accuracy of the proposed technique.
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Feature Selection for Modeling Intrusion Detection
Статья научная
Feature selection is always beneficial to the field like Intrusion Detection, where vast amount of features extracted from network traffic needs to be analysed. All features extracted are not informative and some of them are redundant also. We investigated the performance of three feature selection algorithms Chi-square, Information Gain based and Correlation based with Naive Bayes (NB) and Decision Table Majority Classifier. Empirical results show that significant feature selection can help to design an IDS that is lightweight, efficient and effective for real world detection systems.
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FileSyncer: Design, Implementation, and Performance Evaluation
Статья научная
With the pervasiveness of information technology, one of the growing trends today is a phenomenon which can be termed one-user-to-many-computing-devices. In many cases, the need to manage information across multiple electronic devices and storage media arises. The challenge therefore is finding a file synchronization system that can effectively replicate files across these different devices. This paper presents the design, implementation, and evaluation of FileSyncer, a rapid and efficient file synchronization tool that, in addition to the traditional synchronization capabilities, supports manual update selection and mechanism to revert a synchronization process back to the last previous state. The system employs last modified time, file size and CRC checksum for update detection and to ensure integrity of synchronized files. The synchronization times of the system for files of different sizes were compared with those of four existing file synchronization systems. Results showed increased efficiency in terms of time taken by FileSyncer to complete a synchronization operation with increase in file size compared to the other systems. In the future, we plan to release FileSyncer to the open source community for further development.
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Finding K Shortest Paths in a Network Using Genetic Algorithm
Статья научная
With the advent of new applications, different service needs come up. These needs could be in the form of reliability in delivering data, capacity amount in a particular range and certain amount of permissible delay. In order to provide high Quality of service to Networks, it is essential to provide a path between a given source and multiple destinations which satisfy certain constraints. For a domain catering to high QoS, there is a request of resources with certain constraints by all the applications. Speed and Scalability which are not flexible in terms of Network size and Topology are the basic issues to be considered here. Multimedia applications in general make use of k shortest paths whenever communication is to be carried out between a single source and one or more than one destination. In this paper, a genetic algorithm is used, which helps in determination of k shortest paths from a source node to more than one destination node, with bandwidth constraint. The algorithm makes use of the connection matrix as well as link bandwidth for determination of k shortest paths. The significance of using K shortest paths in a network is to increase Throughput and Packet delivery ratio.
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Finding Optimal Routes in Internal Routing Networks based on a Modified Dijkstra’s Algorithm
Статья научная
Modern communication networks face significant challenges due to the constant growth of traffic volumes and the need to effectively manage network resources. Standard routing protocols based on finding a single shortest path can lead to uneven load distribution and limit the overall throughput. One of the promising approaches to solving these problems is multi-path routing, which allows the use of multiple available paths for data transmission. In this paper, we propose a modification of the Dijkstra’s algorithm that extends the classical approach to find a set of optimal routes in a single algorithm run. The developed modification allows forming not only the main tree of shortest paths, but also additional trees of alternative routes, saving them based on certain conditions.
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Finding and Mitigating a Vulnerability of the Color Wheel PIN Protocol
Статья научная
There is an increasing usage in the banking sector of Smartphones enabled with Near Field Communication (NFC), to improve the services offered for the customers. This usage requires a security enhancement of the systems that employ this technology like the Automated Teller Machines (ATMs). One example is the Color Wheel Personal Identification Number (CWPIN) security protocol designed to authenticate users on ATMs using NFC enabled smartphones without typing the PIN code directly. CWPIN has been compared in the literature to several other protocols and was considered easier to use, more cost-effective and more resistant to various attacks on ATMs such as card reader skimming, keylogger injection, shoulder surfing, etc. Nevertheless, we demonstrate in this paper that CWPIN is vulnerable to the multiple video recordings intersection attack. We do so through concrete examples and a thorough analysis that reveals a high theoretical probability of attack success. A malicious party can use one or two hidden cameras to record the ATM and smartphone screens during several authentication sessions, then disclose the user's PIN code by intersecting the information extracted from the video recordings. In a more complex scenario, these video recordings could be obtained by malware injected into the ATM and the user's smartphone to record their screens during CWPIN authentication sessions. Our intersection attack requires a few recordings, usually three or four, to reveal the PIN code and can lead to unauthorized transactions if the user's smartphone is stolen. We also propose a mitigation of the identified attack through several modifications to the CWPIN protocol and discuss its strengths and limitations.
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Flat-Top Ring-Shaped Cell Design for High-Altitude Platform Communications
Статья научная
In this paper, a new design for ring-shaped cells is introduced where to improve the power distribution and carrier-to-interference ratio (CIR) over the cell area. The designed cell has flat-top radiation pattern with minimal ripples in the service area while the out-of-cell area has lower radiation levels. The new design utilizes two weighting functions applied to a vertical linear array; the first is responsible for the flat-top design and the second smoothes the pattern and reduces the sidelobe levels. The resulted power pattern has a uniform distribution over the cell stripe with as small as 0.25 dB ripples and a uniform CIR values greater than 43 dB within the cells which reduces the burden of power control and increases the immunity to propagation problems.
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Flow-aware Segment Routing in SDN-enabled Data Center Networks
Статья научная
The underlying objective of segment routing is to avoid maintenance of the per-flow state at forwarding devices. Segment routing (SR) enables the network devices to minimize their forwarding table size by generalizing the forwarding rules and making them applicable to multiple flows. In existing works, optimizing the trade-off between segment length and the number of co-flows sharing the segment is considered the key to determining optimal segment endpoints. However, the flow characteristics like the lifetime of flows, and dynamically altering routing paths are critical and impact the performance of SR. Ideally, network flows considered for SR are expected to persist for a longer duration and adhere to static routing paths. But our analysis of flow characteristics at a typical data center reveals that the majority of flows are short-lived. Also, network flows are subject to alter their routing paths frequently for several reasons. Considering short-lived flows and flows that dynamically alter their routing paths may lead to choosing unstable segment endpoints. Hence, it is necessary to study the flow characteristics for determining more stable segment endpoints. In this paper, the authors implemented the SR technique considering the flow characteristics at an SDN-enabled data center and the results show a significant improvement with respect to the stability of segment endpoints.
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Статья научная
In Cloud Computing (CC) environment, load balancing refers to the process of optimizing resources of virtual machines. Load balancing in the CC environment is one of the analytical approaches utilized to ensure indistinguishable workload distribution and effective utilization of resources. This is because only by ensuring effective balance of dynamic workload results in higher user satisfaction and optimal allocation of resource, therefore improve cloud application performance. Moreover, a paramount objective of load balancing is task scheduling because surges in the number of clients utilizing cloud lead to inappropriate job scheduling. Hence, issues encircling task scheduling has to be addressed. In this work a method called, Ford Fulkerson and Newey West Regression-based Dynamic Load Balancing (FF-NWRDLB) in CC environment is proposed. The FF-NWRDLB method is split into two sections, namely, task scheduling and dynamic load balancing. First, Ford Fulkerson-based Task Scheduling is applied to the cloud user requested tasks obtained from Personal Cloud Dataset. Here, employing Ford Fulkerson function based on the flow of tasks, energy-efficient task scheduling is ensured. The execution of asymmetrical scientific applications can be smoothly influenced by an unbalanced workload distribution between computing resources. In this context load balancing signifies as one of the most significant solution to enhance utilization of resources. However, selecting the best accomplishing load balancing technique is not an insignificant piece of work. For example, selecting a load balancing model does not work in circumstances with dynamic behavior. In this context, a machine learning technique called, Newey West Regression-based dynamic load balancer is designed to balance the load in a dynamic manner at run time, therefore ensuring accurate data communication. The FF-NWRDLB method has been compared to recent algorithms that use the markov optimization and the prediction scheme to achieve load balancing. Our experimental results show that our proposed FF-NWRDLB method outperforms other state of the art schemes in terms of energy consumption, throughput, delay, bandwidth and task scheduling efficiency in CC environment.
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Forensics Investigation of Web Application Security Attacks
Статья научная
Nowadays, web applications are popular targets for security attackers. Using specific security mechanisms, we can prevent or detect a security attack on a web application, but we cannot find out the criminal who has carried out the security attack. Being unable to trace back an attack, encourages hackers to launch new attacks on the same system. Web application forensics aims to trace back and attribute a web application security attack to its originator. This may significantly reduce the security attacks targeting a web application every day, and hence improve its security. The aim of this paper is to carry out a detailed overview about the web application forensics. First, we define the web applications forensics, and we present a taxonomic structure of the digital forensics. Then, we present the methodology of a web application forensics investigation. After that, we illustrate the forensics supportive tools for a web application forensics investigation. After that, we present a detailed presentation of a set of the main considered web application forensics tools. Finally, we provide a comparison of the main considered web application forensics tools.
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Forensics image acquisition process of digital evidence
Статья научная
For solving the crimes committed on digital materials, they have to be copied. An evidence must be copied properly in valid methods that provide legal availability. Otherwise, the material cannot be used as an evidence. Image acquisition of the materials from the crime scene by using the proper hardware and software tools makes the obtained data legal evidence. Choosing the proper format and verification function when image acquisition affects the steps in the research process. For this purpose, investigators use hardware and software tools. Hardware tools assure the integrity and trueness of the image through write-protected method. As for software tools, they provide usage of certain write-protect hardware tools or acquisition of the disks that are directly linked to a computer. Image acquisition through write-protect hardware tools assures them the feature of forensic copy. Image acquisition only through software tools do not ensure the forensic copy feature. During the image acquisition process, different formats like E01, AFF, DD can be chosen. In order to provide the integrity and trueness of the copy, hash values have to be calculated using verification functions like SHA and MD series. In this study, image acquisition process through hardware-software are shown. Hardware acquisition of a 200 GB capacity hard disk is made through Tableau TD3 and CRU Ditto. The images of the same storage are taken through Tableau, CRU and RTX USB bridge and through FTK imager and Forensic Imager; then comparative performance assessment results are presented.
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Formal Verification of Congestion Control Algorithm in VANETs
Статья научная
A Vehicular Ad-Hoc Networks (VANETs) is the technology that uses moving cars as nodes in a network to create a mobile network. VANETs turn every participating car into a wireless router, allowing cars of each other to connect and create a network with a wide range. VANETs are developed for enhancing the driving safety and comfort of automotive users. The VANETs can provide wide variety of service such as Intelligent Transportation System (ITS) e.g. safety applications. Many of safety applications built in VANETs are required real-time communication with high reliability. One of the main challenges is to avoid degradation of communication channels in dense traffic network. Many of studies suggested that appropriate congestion control algorithms are essential to provide efficient operation of the network. However, most of congestion control algorithms are not really applicable to event-driven safety messages. In this paper we propose congestion control algorithm as solution to prevent congestion in VANETs environment. We propose a complete validation method and analyse the performance of our congestion control algorithms for event-driven safety messages in difference congested scenarios. The effectiveness of the proposed congestion control algorithm is evaluated through the simulation using Veins simulator.
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Formal Verification of NTRUEncrypt Scheme
Статья научная
In this paper we explore a mechanized verification of the NTRUEncrypt scheme, with the formal proof system Isabelle/HOL. More precisely, the functional correctness of this algorithm, in its reduced form, is formally verified with computer support. We show that this scheme is correct what is a necessary condition for the usefulness of any cryptographic encryption scheme. Besides, we present a convenient and application specific formalization of the NTRUEncrypt scheme in the Isabelle/HOL system that can be used in further study around the functional and security analysis of NTRUEncrypt family.
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Forward Error Correction Convolutional Codes for RTAs' Networks: An Overview
Статья научная
For more than half a century, Forward Error Correction Convolutional Codes (FEC-CC) have been in use to provide reliable data communication over various communication networks. The recent high increase of mobile communication services that require both bandwidth intensive and interactive Real Time Applications (RTAs) impose an increased demand for fast and reliable wireless communication networks. Transmission burst errors; data decoding complexity and jitter are identified as key factors influencing the quality of service of RTAs implementation over wireless transmission media. This paper reviews FEC-CC as one of the most commonly used algorithm in Forward Error Correction for the purpose of improving its operational performance. Under this category, we have analyzed various previous works for their strengths and weaknesses in decoding FEC-CC. A comparison of various decoding algorithms is made based on their decoding computational complexity.
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Frame Relay versus Asynchronous Transfer Mode: A Comparative Study and Simulation
Статья научная
Frame Relay and Asynchronous Transfer Mode (ATM) are two famous technologies in wide-area networks that use the virtual circuits for connecting and multiplexing many branches and networks. Those technologies can be used to carry different types of information such as real-time information which needs high data rate, low delay and an efficient throughput of the network's data communication devices. This paper is a study based on simulation for comparative performance evaluation between the Frame Relay and ATM to understand the overview and the nature of these technologies focusing on real-time applications using the OPNET simulation tool for analyzing the performance of voice application. The evaluation parameters are traffic sent, traffic received, delay, Jitter and the end-to-end delay which have been used to compare the performance of the ATM and Frame Relay in high-speed networks. The simulation results demonstrate that the ATM has high traffic sent, high traffic received, and less delay compared to the Frame Relay. In addition, this paper may be considered as an insight for the new researchers to guide them to an overview, essentials, and understanding of the virtual connections for Frame Relay and ATM.
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Free Space Optical Channel Characterization and Modeling with Focus on Algeria Weather Conditions
Статья научная
Free-Space Optics (FSO) is a wireless optical technology that enables optical transmission of data, voice and video communications through the air, up to 10 Gbps of data, based on the use of the free space (the atmosphere) as transmission medium and low power lasers as light sources. Quality and performance of FSO links are generally affected by link distance and weather conditions like environmental temperature and light, sun, fog, snow, smoke, haze and rain. In this paper we study the effects of weather conditions on the performance of FSO links, taking the climate of Algeria as an example, and since there is no known analysis on the effects of weather conditions in this country, this paper offers an attempt to analyze and identify the challenges related to the deployment of FSO links under Algeria's weather. We also present a Graphic User Interface "GUI" to provide an approximate availability estimate of an atmospheric optical link in term of probability of connection.
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Frog-Based Routing Algorithm to Enhance the Network Lifetime of Wireless Sensor Networks
Статья научная
Wireless Sensor Networks (WSN) finds wide applications in both Target tracking and Environment monitoring in almost every field, with the demand growing day by day. Routing is considered as the most important challenge in designing a WSN. To enhance the Network Lifetime, there is a need to have a balanced load sharing with equal consumption of Energy by all the nodes in the Network. Several Routing Protocols have been developed that are inspired by the collective behaviour and principles of social insects and animal societies. Inspired by the Frog behaviour, we in this paper propose an Energy efficient distributed Frog-Based Routing (FBR) algorithm for WSN. Routing path is established considering the nodes that have high residual Energy which makes all the nodes die around the same time, prolonging the Network Lifetime. Simulation was carried out using NS2 and the results of FBR algorithm are compared with two other Energy Efficient Routing Protocols LEACH and SPIN for the evaluation of different performance metrics.
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Fundamental Principles of the Information Confrontation Ontological Model Construction
Статья научная
The information stage of human society development which began at the end of the last century results in the fact that the state of information security has become directly dependent not only on the information processing technical systems and features but also on the perception of information at the level of individual psychological qualities. The use of information aggression and special information operations including those performed in modern geopolitics at the international and domestic levels for population management, during electoral campaigns is gaining enormous scope. The tasks of early information impact detection, situation development modeling in the information space necessitate the development of specialized models reproducing information confrontation. The major contradiction in the development of such models is that the more relevant and adaptive these models are the more complex and resource-intensive they become. At the same time, oversimplifying the information confrontation process makes such models inconsistent with real risks. This article gives a brief overview of modern information confrontation models and concepts. It is described the basic principles of the construction of an information confrontation ontological model: such key elements as subjects, objects, actual impacts, and the basic characteristics of each element are identified. An attempt has been made to develop a universal information confrontation ontological model. It has been also proposed a multipart tuple of information confrontation representation. This article is the beginning of a separate research project on information confrontation modeling, which will be further developed in papers to follow.
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Статья научная
The Wireless Sensor Network (WSN) is made up with small batteries powered sensor devices with lim-ited energy resources within it. These sensor nodes are used to monitor physical or environmental conditions and to pass their data through the wireless network to the main location. One of the crucial issues in wireless sensor network is to create a more energy efficient system. Clustering is one kind of mechanism in Wireless Sensor Networks to prolong the network lifetime and to reduce network energy consumption. In this paper, we propose a new routing protocol called Fuzzy Based Energy Effi-cient Multiple Cluster Head Selection Routing Protocol (FEMCHRP) for Wireless Sensor Network. The routing process involves the Clustering of nodes and the selection of Cluster Head (CH) nodes of these clusters which sends all the information to the Cluster Head Leader (CHL). After that, the cluster head leaders send aggregated data to the Base Station (BS). The selection of cluster heads and cluster head leaders is performed by using fuzzy logic and the data transmission process is performed by shortest energy path which is selected applying Dijkstra Algorithm. The simulation results of this research are compared with other protocols BCDCP, CELRP and ECHERP to evaluate the performance of the proposed routing protocol. The evaluation concludes that the proposed routing protocol is better in prolonging network lifetime and balancing energy consumption.
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