International Journal of Computer Network and Information Security @ijcnis
Статьи журнала - International Journal of Computer Network and Information Security
Все статьи: 1177
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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Fuzzy Membership Function in a Trust Based AODV for MANET
Статья научная
Security issues have been emphasized in MANET due to its vulnerability to unauthorised access and unshielded broadcasting nature of communication. In this paper we present a trust based AODV for MANET. The trust takes into account the eligible neighbours based on reliability, residual energy, and speed. Thus our algorithm provides a reliable, energy efficient routing technique. The multi-criteria trust values are calculated using fuzzy-logic. This algorithm is capable of putting aside the selfish nodes. As only trusted neighbours are selected for packet delivery, energy consumption also diminishes because the transmitting node does not need to deliver packets to the untrusted neighbours. Less number of transmissions renders low energy consumption. Absence of selfish nodes in the selected neighbours at every hop provides better packet delivery and hence better throughput.
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Fuzzy rule based inference system for implementation of naval military mission
Статья научная
Naval military units are convoluted frameworks required to work in specific time periods in seaward assignments where support operations are radically restricted. A decline at the time of mission is an analytical fact that can radically impact the mission achievement. The choice of changing a unit to a mission subsequently requires complex judgments including data about the well being status of hardware and the natural conditions. The present system expects to help the choice about changing a unit to a mission considering that ambiguity and unpredictability of information by methods of fuzzy concepts and imitates the selection procedure of a human trained by means of a rule-based inference system. A numerical application is introduced to demonstrate the viability of the approach.
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GAFBone: A New Backbone Construction for Increasing Lifetime in Wireless Sensor Networks
Статья научная
Wireless sensor networks, which have been used in many applications in recent years, consist of tiny sensor nodes with restriction in processing ability and the battery unit. Because of that, one of the crucial problems in this field is power consumption and network lifetime. Geographic Adaptive Fidelity is a routing protocol which tries to reduce energy consumption by powering off unnecessary nodes. In this paper, we proposed a new backbone algorithm for this protocol to saving more energy which causes to improving the lifetime and performance of the networks. The results of simulation show that active grids will be halved approximately.
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GDAR: A Secure Authentication for Dapp Interoperability in Blockchain
Статья научная
Enterprises are adopting blockchain technology to build a server-less and trust-less system by assuring immutability and are contributing to blockchain research, innovation, and implementation. This led to the genesis of various decentralized blockchain platforms and applications that are unconnected with each other. Interoperability between these siloed blockchains is a must to reach its full potential. To facilitate mass adoption, technology should have the ability to transact between various decentralized applications (dapps) on the same chain, integrate with existing systems, and initiate transactions on other networks. In our research, we propose a secured authentication mechanism that enables various decentralized applications on the same chain to interact with each other using a global dapp authentication registry (GDAR). We carried out an in-depth performance evaluation and conclude that our proposed mechanism is an operative authentication solution for dapp interoperability.
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Статья научная
The imbalanced surveillance video dataset consists of majority and minority classes as normal and anomalous instances in the nonlinear and non-Gaussian framework. The normal and anomalous instances cause majority and minority samples or particles associated with high and low probable regions when considering the standard particle filter. The minority particles tend to be at high risk of being suppressed by the majority particles, as the proposal probability density function (pdf) encourages the highly probable regions of the input data space to remain a biased distribution. The standard particle filter-based tracker afflicts with sample degeneration and sample impoverishment due to the biased proposal pdf ignoring the minority particles. The difficulty in designing the correct proposal pdf prevents particle filter-based tracking in the imbalanced video data. The existing methods do not discuss the imbalanced nature of particle filter-based tracking. To alleviate this problem and tracking challenges, this paper proposes a novel fractional whale particle filter (FWPF) that fuses the fractional calculus-based whale optimization algorithm (FWOA) and the standard particle filter under weighted sum rule fusion. Integrating the FWPF with an iterative Gaussian mixture model (GMM) with unbiased sample variance and sample mean allows the proposal pdf to be adaptive to the imbalanced video data. The adaptive proposal pdf leads the FWPF to a minimum variance unbiased estimator for effectively detecting and tracking multiple objects in the imbalanced video data. The fractional calculus up to the first four terms makes the FWOA a local and global search operator with inherent memory property. The fractional calculus in the FWOA oversamples minority particles to be diversified with multiple imputations to eliminate data distortion with low bias and low variance. The proposed FWPF presents a novel imbalance evaluation metric, tracking distance correlation for the imbalanced tracking over UCSD surveillance video data and shows greater efficacy in mitigating the effects of the imbalanced nature of video data compared to other existing methods. The proposed method also outshines the existing methods regarding precision and accuracy in tracking multiple objects. The consistent tracking distance correlation near zero values provides efficient imbalance reduction through bias-variance correction compared to the existing methods.
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