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9th computer Science On-line Conference, CSOC 2020

作者： Syamsuddin, Irfan Nur, Rini Olivya, Meylanie Irmawati Saharuna, Zawiah Department of Computer and Networking Engineering Politeknik Negeri Ujung Pandang Makassar Indonesia

ISBN: (纸本)9783030519704

Firewall administration is an important topic in network security courses. However, most teaching aids of the topic commonly deal with static firewall analyses that does not adequately covers current dynamic and variety of cyber security attacks. This study presents our approach to introduce an intelligent firewall simulator to fill the gap. The simulator is based on iNetwork software and it has three different dynamic security attacks scenarios or modules. Each module is equipped with handbook or manual to aid student performs the simulation procedures. Evaluation of intelligent firewall simulator usage is performed by expert and student. Expert evaluation is focused on the content validity of the modules and its accompanying handbook, whilst student evaluation measures the perception of students after using the simulator. Finally, both evaluations show positive results that the content and manual of intelligent firewall modules are valid and also effective to improve student skills and understanding. © 2020, Springer Nature Switzerland AG.

关键词： Simulators

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The Impact of CyRIS in Ascertaining Accurate Implementation of Projects 14

The Impact of CyRIS in Ascertaining Accurate Implementation ...

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14th International Conference on Computing Communication and networking Technologies, ICCCNT 2023

作者： Sharifi, Ahma Zia Walid, Md. Abul Ala Zia, Ghezal Ahmad Jan Salehin, Md. Nazmus Safi, Ihsan Ul Haq Al Islam, Iqbal Faculty of Computer Science Nangarhar Univeristy Department of Networking and Communication Afghanistan Department of Computer Science and Engineering Khulna9203 Bangladesh Berlin Germany Department of Computer Science and Engineering Natore Bangladesh Nangarhar University Department of Networking and Communication Faculty of Computer Science Afghanistan Department of Computer Science & Engineering Savar Dhaka Bangladesh

ISBN: (纸本)9798350335095

This systematic review seeks to evaluate the impact of CyRIS in ascertaining accurate implementation of projects with a primary focus on the merits of its functionalities. Core to the study is the view that CyRIS-driven project implementation reduces the risks of inaccuracy to an acceptable level. Although CyRIS is an extensively researched area in cyber security, a comprehensive review of subcategories, specifically, the accurate implementation of projects using the tool remains understudied. The proposed systematic review of literature provides insights and future directions from selected databases, including ScienceDirect, Springer Journals, SAGE Journals, and Wiley Online Library. Moreover, the limitations and strengths of each article collected are assessed using the PRISMA model to identify risks of bias. The research, which consists of journal articles, conferences, and symposium papers, is analyzed using "Cyber-Range Instantiation Systems and accurate implementation of projects"as the key phrase and "Cyber-Risk Models", "Cyber Range Instantiation", and "Cyber Security Training", and "Accurate Implementation of Projects"as the keywords. The findings of the study will bridge the awareness gap in using CyRIS-led Cyber-Risk Models to execute accurate training scenarios, improve weaknesses of implementation, simulate real-time attack scenarios, and highlight existing gaps as well as prospects for future research. © 2023 IEEE.

关键词： Cybersecurity

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Online reranking via ordinal informative concepts for context fusion in concept detection and video search

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IEEE Transactions on Circuits and Systems for Video Technology 2009年第12期19卷 1880-1890页

作者： Yang, Yi-Hsuan Hsu, Winston H. Chen, Homer H. Graduate Institute of Communication Engineering National Taiwan University Taipei 10617 Taiwan Graduate Institute of Networking and Multimedia Department of Computer Science and Information Engineering National Taiwan University Taipei 10617 Taiwan Graduate Institute of Communication Engineering Graduate Institute of Networking and Multimedia Department of Electrical Engineering Taipei 10617 Taiwan

To exploit the co-occurrence patterns of semantic concepts while keeping the simplicity of context fusion, a novel reranking approach is proposed in this paper. The approach, called ordinal reranking, adjusts the ranking of an initial search (or detection) list based on the co-occurrence patterns obtained by using ranking functions such as ListNet. Ranking functions are by nature more effective than classification-based reranking methods in mining ordinal relationships. In addition, the ordinal reranking is free of the ad hoc thresholding for noisy binary labels and requires no extra offline learning or training data. To select informative concepts for reranking, we also propose a new concept selection measurement, wc-tf-idf, which considers the underlying ordinal information of ranking lists and is thus more effective than the feature selection algorithms for classification. Being largely unsupervised, the reranking approach to context fusion can be applied equally well to concept detection and video search. While being extremely efficient, ordinal reranking outperforms existing methods by up to 40% in mean average precision (MAP) for the baseline text-based search and 12% for the baseline concept detection over TRECVID 2005 video search and concept detection benchmark. © 2009 IEEE.

关键词： Classification (of information)

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DKSCNN: Deep Kronecker Siamese Convolutional Neural Network enabled speaker identification

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Expert Systems with Applications 2025年 288卷

作者： Karthikeyan Chinnasamy Rajesh Kumar Thevasigamani Rajiv Vincent Sam Kumar Gopalsamy Venkatesan Deepa Thilak Kanniyappan Kalaiselvi Kaliannan Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu 602105 India School of Computer Science and Engineering Vellore Institute of Technology Chennai Campus Tamil Nadu 600127 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh 522502 India Department of Networking and Communications Faculty of Engineering & Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu 603203 India

Speaker identification refers to the process of discerning between different voices within audio recordings or streams. Various factors contribute to the complexity of this task, including differences in frameworks, overlapping of sound events, and multiple sound sources present during recording. These aspects significantly complicate the process of speaker identification. To overcome such complexity, a hybrid Deep Kronecker Siamese Convolutional Neural Network (DKSCNN) method is proposed as a solution for performing speaker identification. Initially, the speech signals are collected from the VoxCeleb dataset and it is fed as an input to the pre-processing step and it is performed by the Gaussian distribution-based method. After preprocessing, feature extraction is done to extract features like spectral centroid, pitch chroma, spectral skewness, Power Spectral Density (PSD), Mel-Scale Frequency Cepstral Coefficients (MFCC), logarithmic band power, Hjorth parameters, and tonal power ratio. Based on the extracted features, the speaker identification is done using hybrid DKSCNN, which is the combination of Deep Kronecker Network (DKN) and Siamese Convolutional Neural Network (SCNN). The proposed speaker identification model attained a better accuracy of 90.682%, a True Positive Rate (TPR) rate of 91.362% and a False Positive Rate (FPR) rate of 0.086. The DKSCNN model significantly improves the accuracy and reliability of speaker identification, achieving remarkable performance metrics. This research contributes to the enhancement of speaker identification technology and addresses the problems of real-world audio environments. Also, this approach ensures that speaker identification can be applied across diverse applications.

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Optimal deep learning based vehicle detection and classification using chaotic equilibrium optimization algorithm in remote sensing imagery

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Scientific reports 2025年第1期15卷 17921页

作者： Youseef Alotaibi Krishnaraj Nagappan Tamilvizhi Thanarajan Surendran Rajendran Department of Software Engineering College of Computing Umm Al-Qura University Makkah 21955 Saudi Arabia. Department of Networking and Communications School of Computing SRM Institute of Science and Technology Kattankulathur Tamil Nadu 603203 India. Department of Computer Science and Engineering Panimalar Engineering College Chennai 600123 India. tamilvizhi.phd.it@***. Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai 602105 India.

Remote sensing images (RSI), such as aerial or satellite images, produce a large-scale view of the Earth's surface, which gets them used to track and monitor vehicles from several settings, like border control, disaster response, and urban traffic surveillance. Vehicle detection and classification using RSIs is a vital application of computer vision and image processing. It contains locating and identifying vehicles from the image. It is done using many approaches that have object detection approaches, namely YOLO, Faster R-CNN, or SSD, which utilize deep learning (DL) to locate and identify the image. Additionally, the classification of vehicles from RSIs contains classification of them based on their variety, such as trucks, motorcycles, cars or buses, utilizing machine learning (ML) techniques. This article designed and developed an automated vehicle type detection and classification using a chaotic equilibrium optimization algorithm with deep learning (VDTC-CEOADL) on high-resolution RSIs. The VDTC-CEOADL technique presented examines high-quality RSIs for the accurate detection and classification of vehicles. The VDTC-CEOADL technique employs a YOLO-HR object detector with a residual network as the backbone model to accomplish this. In addition, CEOA based hyperparameter optimizer is designed for the parameter tuning of the ResNet model. For the vehicle classification process, the VDTC-CEOADL technique exploits the attention-based long-short-term memory (ALSTM) mod-el. Performance validation of the VDTC-CEOADL technique is validated on a high-resolution RSI dataset, and the results portrayed the supremacy of the VDTC-CEOADL technique in terms of different measures.

关键词： Chaotic equilibrium optimization algorithm Deep learning Remote sensing images Vehicle classification Vehicle detection

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Primitives towards verifiable computation： a survey

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Frontiers of computer Science 2018年第3期12卷 451-478页

作者： Haseeb AHMAD Licheng WANG Haibo HONG Jing LI Hassan DAWOOD Manzoor AHMED Yixian YANG State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Computer Science and Information Engineering Zhejiang Gongshang University Hangzhou 310018 China Department of Computer Engineering University of Engineering and Technology Taxila 47050 Pakistan Future Internet & Communication Lab Department of Electronic Engineering Tsinghua University Beijing 100084 China

Verifiable computation （VC） paradigm has got the captivation that in real term is highlighted by the concept of third party computation. In more explicate terms, VC allows resource constrained clients/organizations to securely outsource expensive computations to untrusted service providers, while acquiring the publicly or privately verifiable results. Many mainstream solutions have been proposed to address the diverse problems within the VC domain. Some of them imposed assumptions over performed computations, while the others took advantage of interactivity /non-interactivity, zero knowledge proofs, and arguments. Further proposals utilized the powers of probabilistic checkable or computationally sound proofs. In this survey, we present a chronological study and classify the VC proposals based on their adopted domains. First, we provide a broader overview of the theoretical advancements while critically analyzing them. Subsequently, we present a comprehensive view of their utilization in the state of the art VC approaches. Moreover, a brief overview of recent proof based VC systems is also presented that lifted up the VC domain to the verge of practicality. We use the presented study and reviewed resuits to identify the similarities and alterations, modifications, and hybridization of different approaches, while comparing their advantages and reporting their overheads. Finally, we discuss implementation of such VC based systems, their applications, and the likely future directions.

关键词： verifiable computation cloud computation interactive non-interactive zero knowledge probabilisticcheckable proofs computationally sound proofs

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On the TCP minimum retransmission timeout in a high-speed cellular network 11

On the TCP minimum retransmission timeout in a high-speed ce...

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11th European Wireless Conference on Next Generation Wireless and Mobile Communications and Services, European Wireless 2005

作者： Folke, Mats Landström, Sara Bodin, Ulf Division of Computer Science and Networking Department of Computer Science and Electrical Engineering Luleå University of Technology Sweden

ISBN: (纸本)9783800728862

HS-DSCH is a high-speed shared radio channel extension for WCDMA which is used for cellular mobile telephony. The algorithm for distributing the channel resources together with the characteristics of the radio medium result in delay variations. The TCP minimum retransmission timeout interval has effectively alleviated delay variations in its range from deteriorating TCP performance. But recently, this bound has been shortened in modern widely spread TCP implementations. The aim of our study is to find out how a shorter minimum retransmission timeout affects TCP performance over HS-DSCH. We have implemented a model of HS-DSCH in the network simulator ns-2. Our simulations cover a wide range of different minimum retransmission timeout settings and loads, two types of schedulers (Round-Robin and Signal-to-interference-Ratio (SIR) scheduling) and two versions of TCP (SACK and NewReno). Our results show that the number of spurious timeouts increase with the load. The SIR scheduler causes fewer spurious timeouts than the RR scheduler for shorter minimum retransmission timeout settings, however, for longer settings the RR scheduler causes fewer spurious timeouts compared to the SIR scheduler. The minimum retransmission timeout has consequences for goodput fairness, but it does not affect the total system throughput. Both TCP versions produced similar results. © Copyright 2015 IEEE All rights reserved.

关键词： Scheduling

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A robust and energy efficient routing scheme for wireless sensor networks

A robust and energy efficient routing scheme for wireless se...

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26th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS 2006

作者： Wang, Haiguang Kong, Peng-Yong Guan, Winston Seah Khoon Networking Department Institute for Infocomm Research Electrical and Computer Engineering Department National University of Singapore

ISBN: (纸本)0769525415

In a wireless sensor network, energy efficient transmissions are important because each node has a limited battery. On the other hand, the energy limitation should not compromise the robustness in end-to-end packet delivery. This paper proposes an energy efficient routing scheme that can ensure high robustness despite dynamic link quality. The key ideas are to form a routing tree with one degree of redundancy where each node maintains two parents, namely default and backup, toward the sink, and to dynamically switch between the default and backup links depending on the dynamic link quality. For energy efficiency, the default parents are selected based on the minimal expected transmission (METX) criterion while the backup parents are selected with a combination of METX and signal strength criteria. The switching mechanism is designed to be adaptive with inertia so that unnecessary changes in route can be avoided. The proposed routing scheme has been evaluated through NS-2 simulator. The results confirm that a 36% improvement in robustness can be achieved in a random topology without any significant degradation in energy efficiency. © 2006 IEEE.

关键词： Energy efficiency

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Modeling key caching for mobile IP authentication, authorization, and accounting (AAA) services

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IEEE Transactions on Vehicular Technology 2009年第7期58卷 3596-3608页

作者： Lin, Phone Cheng, Shin-Ming Liao, Wanjiun Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia National Taiwan University Taipei 106 Taiwan Department of Electrical Engineering National Taiwan University Taipei 106 Taiwan

The Mobile IP Authentication, Authorization, and Accounting (AAA) framework architecture is designed to protect signaling messages from eavesdropping by malicious attackers. The message exchanges for AAA incur heavy signaling overhead and long network access latency for mobility service. To solve this problem, the most typical approach is to adopt a key caching mechanism so that the authentication can locally be done and so that the signaling overhead can be significantly reduced. However, in the literature, very little work has conducted a thorough analytical study on the proposed key caching scheme. As a result, the statistical behavior of these schemes cannot be well justified. In this paper, we develop an analytical model that describes the key caching behavior in Mobile IP networks. The accuracy of this model is validated by simulations. Based on the performance analysis, we then propose an adaptive algorithm that dynamically adjusts key cache size so that the signaling overhead can be minimized. © 2009 IEEE.

关键词： Authentication

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A model checking-based security analysis framework for IoT systems

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High-Confidence Computing 2021年第1期1卷 24-34页

作者： Zheng Fang Hao Fua Tianbo Gu Zhiyun Qian Trent Jaeger Pengfei Hu Prasant Mohapatra Department of Computer Science University of CaliforniaDavisUnited States Azure Networking team MicrosoftUnited States Computer Science and Engineering department University of CaliforniaRiversideUnited States School of Computer Science and Technology Shandong UniversityChina Computer Science and Engineering department Pennsylvania State UniversityUnited States

IoT systems are revolutionizing our life by providing ubiquitous computing,inter-connectivity,and automated ***,the increasing system complexity poses huge challenges for security as IoT devices are dis-tributed,highly heterogeneous,and can directly interact with the physical *** IoT systems,bugs in device firmware,defects in network protocols,and design flaws in automation rules can lead to system breach or *** challenge gets even more escalated as the possible attacks may be chained together in a long sequence across multiple layers,rendering the existing vulnerability analysis frameworks *** this paper,we present ForeSee,a model checking-based framework to comprehensively evaluate IoT system *** builds a multi-layer IoT hypothesis graph by simultaneously modeling all of the essential components in IoT systems,including the physical environment,devices,communication protocols,and *** model checker can then analyze the generated hypothesis graph to validate system security properties or generate attack paths if there are any *** optimization algorithm is further introduced to reduce the computational complexity of our *** framework verifies hypothesis graphs with millions of nodes in less than 100 *** illustrative case studies show that our framework can detect more potential threats than the existing approaches.

关键词： IoT Security and privacy Model checking Hypothesis graph

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