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An operating system for a Reconfigurable Active SSD processing node

An operating system for a Reconfigurable Active SSD processi...

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international conference on Telecommunications (ICT)

作者： Ali Ali Mohamad Jomaa Bashar Romanous Mageda Sharafeddine Mazen A. R. Saghir Haitham Akkary Hassan Artail Mariette Awad Hazem Hajj Department of Electrical and Computer Engineering American University of Beirut Beirut Lebanon Electrical and Computer Engineering Program Texas A and M University Qatar Doha Qatar

We have recently proposed a distributed Reconfigurable Active SSD computation platform (RASSD) for processing data-intensive applications at the storage node itself, without having to move data over slow networks. In this paper, we present the design of an operating system (OS) for the RASSD node. RASSD OS is a multitasking real-time operating system that runs on the 32-bit MicroBlaze ® soft processor core available for Xilinx ® FPGA's. We discuss in this paper our OS design features which include initializing the node and configuring the different components of the RASSD node, monitoring the node's activities, and processing middleware requests. RASSD OS provides a set of services to the middleware through which it hides the low-level details of the node's hardware architecture. We describe the functions essential for the data-intensive processing within the RASSD node using examples that capture the common states of the node and various possible requests.

关键词： Hardware Instruction sets Middleware Field programmable gate arrays Operating systems computer architecture Libraries

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From Data Integrity to Global ModeI Integrity for Decentralized Federated Learning: A Blockchain-based Approach

From Data Integrity to Global ModeI Integrity for Decentrali...

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international Joint conference on Neural networks (IJCNN)

作者： Na Wang Yao Zhao Youyang Qu Lei Cui Bai Li Longxiang Gao Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of IT Deakin University VIC Australia Zhejiang Tianheng Information Technology Company China

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

Decentralized Federated Learning (DFL) is extensively applied in various areas, e.g., healthcare, finance, and Internet of Things (loT), offering practical solutions for distributed intelligent applications and data collaboration. In DFL systems, participants, e.g., edge devices, organizations, or nodes, collaborate in the training of a shared global model by aggregating local models from various participants. During this process, participants need to communicate frequently with a central authority/node/server to share model parameters. Such communication is vulnerable to malicious attacks or tampering, posing a significant threat to the integrity of model training. The integrity verification method can provide an integrity guarantee for the global model of DFL. However, most of the existing integrity verification schemes are centralized and not suitable for resource-constrained DFL scenarios. Therefore, how to verify the integrity of the global model becomes an important issue in DFL. To address it, we devise a global model integrity verification method for DFL. Specifically, we generate a digital signature for each global model parameter as proof of integrity, while improving the efficiency of integrity verification by electing delegates to conduct the verification process. A series of experiments is conducted to validate the performance of the proposed method. The experimental results demonstrate that our approach not only effectively ensures the integrity of the global model but also functions well under limited resources.

关键词： Training Federated learning Data integrity Neural networks Finance distributed databases Organizations

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Cyclic redundancy code check algorithm based on small lookup table

Cyclic redundancy code check algorithm based on small lookup...

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IEEE international conference on Communications Technology and Applications, ICCTA

作者： Jianfen Peng Yajian Zhou Yixian Yang National Engineering Laboratory for Disaster Bacup and Recovery Information Security Group State Key Laboratory of Networking and Switiching Techonolgy Key Laboratory of Information Attack & defence Technology of MOE Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781424448166

Real time and low occupation of memory must be satisfied in the error controlling of computer networks. Cyclic redundancy code generation algorithm based on small lookup table (CRCGA) is presented in this paper, which is based on ¿slicing-by-4¿ algorithm proposed by M. E. Kounavis et. al. and uses the distributive property of mod function in modulo-2 arithmetic to reduce the size of cache demanded by the algorithm by half. CRCGA reads 32 bits at a time, only needs 2-KByte cache footprint. Simulation results show that CRCGA can be applied to small control equipment in distributed control system.

关键词： Cyclic redundancy check codes Table lookup Decision support systems

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CNN-Based Detection of DDoS Attacks in Multi-Cloud Environments

CNN-Based Detection of DDoS Attacks in Multi-Cloud Environme...

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Communication, computer Sciences and Engineering (IC3SE), international conference on

作者： Rashmi Verma Manisha Jailia Munish Kumar Bhawna Kaliraman Department of Computer Science and Engineering Banasthali Vidyapith Tonk Rajasthan Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram India Department of Computer Science and Engineering DPG Institute of Technology and Management Gurugram India

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

With the increasing reliance on cloud computing services, ensuring the security of cloud-based infrastructures has become paramount. This paper proposes a novel approach utilizing Convolutional Neural networks (CNNs) to detect distributed Denial of Service (DDoS) attacks in a multi-cloud environment. The utilization of CNNs, known for their proficiency in feature extraction from structured and unstructured data, offers an innovative solution to the dynamic and evolving nature of DDoS attacks. The datasets utilized in this study include NSL-KDD. As the global frequency of cyberattacks rises, the digital landscape faces significant threats impacting both individual online presence and corporate entities. This paper employs deep learning techniques to enhance security against DDoS attacks, utilizing the inherent ability of deep learning to extract intricate patterns from vast datasets. This makes it a potent tool for constructing effective detection and mitigation systems for the DDoS threat. The research presents a comprehensive approach for detecting DDoS attacks by leveraging CNNs (Convolutional Neural networks) and advanced data preprocessing methods, focusing on the widely recognized NSL-KDD dataset. The research findings reveal that the proposed CNN-based approach consistently outperforms, achieving an impressive accuracy score of 97.46%. These results underscore the promising potential of the proposed methodology in significantly improving the accuracy and effectiveness of intrusion detection systems. In a parallel exploration, another research paper introduces an alternative approach by offering a CNN model on the same dataset, achieving an accuracy outcome of 96.61%. While this alternative approach demonstrates commendable performance, the findings highlight the superior accuracy achieved by the proposed CNN methodology in the context of DDoS attack detection.

关键词： Deep learning Cloud computing Accuracy System performance Data preprocessing computer architecture Denial-of-service attack

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Design and implementation of action history view mechanisms for hypermedia systems

Design and implementation of action history view mechanisms ...

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IEEE Annual international computer Software and Applications conference (COMPSAC)

作者： H. Iwamoto C. Ito Y. Kambayashi Technical Research Center Kansai Electric Power Company Inc. Amagasaki Hyogo Japan C&C Network Systems Engineering Division NEC Corporation Limited Minato Tokyo Japan Department of Social Informatics Graduate School of Informatics Kyoto University Sakyo Kyoto Japan

For computer-supported cooperative work (CSCW), it is very important to understand the activities of users in a group. To support this understanding, we propose a mechanism called an "action history view" which shows the past actions of a user to other users for the purpose of letting them know what he/she has done, without revealing secret or useless information. The mechanism is coordinated among users who are distributed in terms of time. In this paper, the concept of the action history view mechanism is applied to hypermedia systems based on an object-oriented model to support users in viewing or reviewing past presentations in a short amount of time in hiding specified actions which it is not appropriate to show to other users. The generation of views is executed by removing a series of actions that correspond with the component to be hidden. The system also has a function for supporting users to select actions interactively while the user is viewing the replay. To qualify those kinds of views, the actions performed in a presentation are recorded in an action history stream, which consists of multiple logs. Finally, the application and implementation of a prototype of the action history view mechanism to a distance education system based on hypermedia is described.

关键词： History Electrical capacitance tomography Privacy Informatics security Indium tin oxide Power engineering and energy systems engineering and theory National electric code computer networks

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security enforcement using PKI in Semantic Web

Security enforcement using PKI in Semantic Web

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computer Information systems and Industrial Management Applications (CISIM)

作者： Suresh Kumar Rakesh Kr. Prajapati Manjeet Singh Asok De CSE A. I. T. G New Delhi India CSE/IT I. T. S. Engineering College Noida India CSE YMCA University of Sciences and Technology Faridabad India ECE A. I. T. G New Delhi India

The communication technology is developing in internet to use WWW through wired and wireless networks. The electronic authentication system based on PKI (public key infrastructure) was developed in order to guarantee the stability of client-server type of applications. The efficiency decreases when some of user node becomes mobile terminal, making this capacity, and speeds of internet communication have gone to degrade. In this paper, we propose the PKI security system to authenticate Semantic Web service providers as well as Web service consumers. We consider a secure PKI infrastructure that has four main components, they are Certification Authority, Registration authority, certificate revocation list and certificate validation authority. Each component has specified functionalities to use XML based message to multi purpose communication. Mobile nature of user's authentication requires a distributed PKI server to authenticate requesting application on internet. Mobility attains different security issues in wireless PKI communication for remote users. We can not assume secure communication of user on internet in open environment till all basic components of PKI system is not in safe condition. CRL (certificate revocation list), and OCSP (online certificate status protocol) are common method to check status of a certificate online. Digital certificate validation resolves problem of security by making real-time verification possible. We have addressed here it for dependability aspects for the semantic web as well as data quality, integrity real-time processing and security for the semantic web. We need to ensure that our work on semantic web is a subject to unauthorized / intrusions and malicious web applications during key exchange.

关键词： Semantic Web Web services Public key Servers Authentication

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Beyond OFDM: Best-effort dynamic spectrum access using filterbank multicarrier

Beyond OFDM: Best-effort dynamic spectrum access using filte...

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international Communication systems and networks and Workshops, COMSNETS

作者： Sriram N. Premnath Daryl Wasden Sneha K. Kasera Behrouz Farhang-Boroujeny Neal Patwari School of Computing University of Utah USA Department of Electrical & Computer Engineering University of Utah USA

Orthogonal frequency division multiplexing (OFDM), widely recommended for sharing the spectrum among different nodes in a dynamic spectrum access network, imposes tight timing and frequency synchronization requirements. We examine the use of filterbank multicarrier (FBMC), a somewhat lesser known and understood alternative, for dynamic spectrum access. FBMC promises very low out-of-band energy of each subcarrier signal when compared to OFDM. In order to fully understand and evaluate the promise of FBMC, we first examine the use of special pulse shaping filters of the FBMC PHY layer in reliably transmitting data packets at a very high rate. Next, to understand the impact of FBMC beyond the PHY layer, we devise a distributed and adaptive medium access control (MAC) protocol that coordinates data packet traffic among the different nodes in the network in a best effort manner. Using extensive simulations, we show that FBMC consistently achieves at least an order of magnitude performance improvement over OFDM in several aspects including packet transmission delays, channel access delays, and effective data transmission rate available to each node. Using measurements of power spectral density and high data rate transmissions from a transceiver that we build using our National Instruments hardware platform, we show that while FBMC can decode/distinguish all the received symbols without any errors, OFDM cannot. In summary, FBMC offers a much higher performing alternative to OFDM for networks that dynamically share the spectrum among multiple nodes.

关键词： OFDM Interference Receivers Transmitters Delay Media Access Protocol Shape

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A Comprehensive Survey on the Efficacy of Machine Learning Algorithms for Detecting DDoS Attacks

A Comprehensive Survey on the Efficacy of Machine Learning A...

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Data, Computation and Communication (ICDCC), international conference on

作者： Dutta Sai Eswari P. V. Lakshmi Department of Computer Science and Engineering GITAM University Visakhapatnam India

ISBN: (数字)9798331532956

ISBN: (纸本)9798331532963

Denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks are blatant attempts to prevent legitimate users from reaching a service or from using the service they already are using. DDoS attacks are possible due to the internet's current design, and an attacker gain control over many machines by exploiting their weak factors and setting up different targeted networks, also known as “Botnets”. Once an attacker is ready with the targeted network, they can launch a massive, coordinated attack against a target or targets. As new attacks are constantly being created, and the number of hosts that may be attacked online continues to grow, several various DDoS attack detection and prevention methods have been developed to combat this growing threat. In this paper, we discuss a wide range of DDoS attacks and methods, as well as countermeasures. This review is useful because it addresses many different approaches to stopping DDoS attacks, such as detecting them, defending against them, minimizing their impacts, tracing their origins, answering unresolved problems, and overcoming research difficulties.

关键词： Surveys Machine learning algorithms Reviews Prevention and mitigation Botnet distributed databases Denial-of-service attack Real-time systems security computer crime

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IoV Cyber Defense: Advancing DDoS Attack Detection with Gini Index in Tree Models

IoV Cyber Defense: Advancing DDoS Attack Detection with Gini...

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international conference on Emerging Trends in networks and computer Communications (ETNCC)

作者： Muhammad Dilshad Bushra Almas Noshina Tariq Husin Bin Jazri Ghadah Naif Alwakid Jan Sher Khan Pranav Kumar Rahul Kumar Institute of Information Technology QuaidiAzam University Islamabad Pakistan Department of Avionic Engineering Air University Islamabad Pakistan School of Computer Science Taylor's University Subang Jaya Malaysia Department of Computer Sciences Jouf University Sakaka Saudi Arabia Division of Research and Development Lovely Professional University Phagwara India KKR and KSR institute of technology and sciences Guntur Andhra Pradesh India

ISBN: (数字)9798350353266

ISBN: (纸本)9798350353273

In today's ever-changing world of cybersecurity, where smart devices and the Internet of Vehicles (IoV) are everywhere, it is crucial to have a strong defense against attacks. This paper introduces an intelligent way to detect the distributed Denial of Service (DDoS) attacks, a severe threat that can disrupt access to essential resources. Traditional methods to handle such attacks include intrusion detection systems (IDS). However, we need new and creative solutions to increasingly complex data. Our proposed strategy is an Artificial Intelligence (AI)-based technique that uses a Decision Tree (Dt) algorithm with feature selection using the Gini index. The proposed DDoS detection system has depicted an impressive accuracy of 99.4% while tested with the CIC-DDoS2019 dataset, surpassing baseline and previous benchmarks like Random Forest and XGBoost. Our improved Gini index method smartly selects 39 essential security features from a pool of 88, cutting down on unnecessary data and preventing over-fitting. This approach efficiently demonstrates its practical use in real-world network security situations, especially IoVs.

关键词： Training Accuracy Computational modeling Feature extraction Denial-of-service attack Indexes computer crime Vehicle dynamics Smart devices Random forests

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Self-Organizing Smart Grid Services

Self-Organizing Smart Grid Services

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international conference on Next Generation Mobile Applications, Services and Technologies (NGMAST)

作者： Abdalkarim Awad Reinhard German Computer Networks and Communication Systems University of Erlangen Germany

Decentralized and self-organizing mechanisms present promising approaches to deal with the massive amount of data generated by different components in the smart grid. In this work we present a self-organized approach that is able to take decisions locally and in a distributed way. Our approach distinguishes between an infrastructure level and a decision level. The middleware processes running on the infrastructure level, which provides services such as routing, data filtering and aggregation. The decision level defines an explicitly and declaratively represented dynamic meta model that provides the semantics for the infrastructure level processes, which support interoperability. Additionally, this level runs processes that design, supervise and control agents on the infrastructure level. The levels coupled together through feedback loop that ensures that relevant changes on the infrastructure level are reflected in the decision level and vice versa. The corresponding reflection principles provide the basis for the implementation of the self-organizing mechanisms that govern the overall system. We distinguish two complementary categories of quality metrics for evaluating self-organizing systems. The first category explores the performance of the algorithm with respect to the target application such as delay, path length and success rate. In the context of self-organizing systems, it is important to evaluate additional kind of metrics that do not depend necessarily on the application rather than on self-organizing characteristics of the algorithm. In this paper we focus on the second type, and particularly on self-organizing properties of the algorithms.

关键词： Smart grids Peer to peer computing Routing Measurement distributed databases Scalability Reliability

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