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IEEE SoutheastCon conference

作者： Bythwood, Willie, iiI Bentley, Justin Vakilinia, Iman Univ North Florida Sch Comp Jacksonville FL 32224 USA

ISBN: (纸本)9781665476119

Nowadays a big portion of internet traffic is generated from malicious botnets targeting various network protocols. To control such a malicious traffic, it is important to analyse attackers' techniques for exploiting vulnerable systems. To this end, in this research study, we have utilized a set of open-source honeypots to analyze ongoing automated cyber-attacks on different well-known network protocols. A honeypot provides a sandbox simulated environment for malicious entities to perform their actions, recording each action for later analysis. This is achieved by exposing fake services in a public network to lure the attackers. Using the collected attack dataset, We have discussed the most common attack patterns for various protocols. Our analysis demonstrates that the majority of automated botnet attacks are targeting scanning and known vulnerabilities.

关键词： Honeypot network Attack Botnet

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Q-Soft: QoS-Aware Traffic Forwarding in Software-Defined Cyber-Physical systems

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IEEE internet OF THINGS JOURNAL 2022年第12期9卷 9675-9682页

作者： Bera, Samaresh Misra, Sudip Saha, Niloy Sharif, Hamid Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur 721302 W Bengal India Indian Inst Sci Dept Elect Commun Engn Bengaluru 560012 India Univ Nebraska Dept Elect & Comp Engn Lincoln NE 68588 USA

The next-generation cyber-physical systems (CPSs) with heterogeneous applications have diverse Quality-of-Service (QoS) requirements in terms of throughput, end-to-end latency, and packet drop reliability. To meet such diverse QoS requirements, in this article, we propose a QoS-aware traffic forwarding scheme in software-defined CPS. The proposed scheme is presented as a two-stage optimization framework to minimize the associated costs in traffic forwarding. In the first stage, we aim to minimize the required number of "candidate" switches for a given network to minimize network deployment costs. In the second stage, we design a comprehensive cost function considering end-to-end delay, flow-rule utilization, and link utilization in the network. Based on the designed cost function, we formulate another optimization problem for optimal traffic forwarding (OTF). As solving OTF is NP-hard, we propose an efficient greedy-heuristic approach to solve the problem while considering application-specific QoS requirements. Further, we propose a packet-tagging method to assist the controller in mitigating rule congestion at the software-defined networking devices, and hence improve the overall network performance. Extensive results show that the proposed scheme minimizes the network delay and QoS-violated flows by up to 50% and 90%, respectively, compared to the state-of-the-art schemes.

关键词： Quality of service Delays control systems Costs Routing internet of Things Software Optimization packet-tagging Quality of Service (QoS) software-defined network traffic engineering

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Resource Allocation Optimization in Local and Wide Area networks through Social network Integration 24

Resource Allocation Optimization in Local and Wide Area Netw...

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25th International conference on Distributed Computing and networking, ICDCN 2024

作者： Shrivastava, Sangya Thakur, Rahul Indian Institute of Technology Roorkee Uttarakhand Roorkee India

ISBN: (纸本)9798400716737

Modern cellular systems must accommodate millions of mobile devices, placing significant demands on network capacity and performance. The predominant technologies for internet connectivity are Wireless Fidelity (Wi-Fi) in the unlicensed spectrum and Cellular in the licensed spectrum. Emerging technologies such as femtocells and Device-to-Device (D2D) communication are key components of Fifth Generation (5G) cellular networks. However, there are challenges, including resource underutilization due to "Closed Access"policies in Wi-Fi and femtocells and the "Operator-Specific"nature of femtocells. In this work, we explore the potential of leveraging social network properties for end-user collaboration to optimize the utilization of these technologies while addressing trust and performance issues. We focus on developing techniques for power control, spectrum management, user association, load balancing, traffic offloading to enhance throughput, coverage, and mobility while minimizing cost, latency, and energy consumption. © 2024 Owner/Author.

关键词： Femtocell

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DDOSHIELD-IoT: A Testbed for Simulating and Lightweight Detection of IoT Botnet DDoS Attacks 54

DDOSHIELD-IoT: A Testbed for Simulating and Lightweight Dete...

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54th Annual IEEE/IFIP International conference on Dependable systems and networks (DSN)

作者： De Vivo, Simona Obaidat, Islam Dai, Dong Liguori, Pietro Univ Naples Federico II Naples Italy Univ North Carolina Charlotte Charlotte NC USA

ISBN: (纸本)9798350395730;9798350395723

In the rapidly expanding realm of the internet of Things (IoT), the escalation of sophisticated cyber threats, particularly botnet Distributed Denial of Service (DDoS) attacks, highlights the importance of Intrusion Detection systems (IDS) for maintaining network integrity. IDSs are necessary tools for identifying and mitigating such threats. Consequently, there is a compelling need for a testbed that can facilitate the development and rigorous evaluation of IDS solutions, specifically designed to meet unique requirements and constraints of IoT environments. To bridge this gap, DDOSHIELD-IoT, an IDS testbed, is introduced, aiming to provide a platform for creating and evaluating IDSs within the IoT context. DDOSHIELD-IoT leverages Docker containers and the NS-3 network simulator to accurately mimic IoT environments and traffic. DDOSHIELD-IoT is used to implement and evaluate multiple IDSs. These IDSs leverage different machine learning models, such as K-Means, to detect Mirai botnet DDoS traffic, achieving an accuracy of over 90%. This evaluation highlights DDOSHIELD-IoT's precision as an IDS testbed. Furthermore, DDOSHIELD-IoT provides the capability to measure diverse performance metrics, such as CPU and memory usage. These assessments show DDOSHIELD-IoT's contributions to IoT security practices by offering scalability and reproducibility for enhanced IDS creation and evaluation.

关键词： IDS Botnet DDoS IoT

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An Interface Development based on internet of Things Approach for Smart Predictive Maintenance implementation: Case of Diesel Engine

An Interface Development based on Internet of Things Approac...

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2024 International conference on Circuit, systems and Communication, ICCSC 2024

作者： Mounir, El Khiate Hassan, Samri Zineb, Znaidi Enset Mohammedia University Hassan Ii Laboratory M2S2I Casablanca Morocco

ISBN: (纸本)9798350365306

The effective functioning of diesel engines plays a crucial role in various industries, powering transportation, generators, and machinery. The emergence of smart maintenance strategies, combined with IOT (internet Of Things), offers a paradigm shift in managing diesel engine health. Conventional methods of testing and maintaining diesel engines often involve manual interventions and limited real-time monitoring. In response to these challenges, this article presents the development of an interface, perfectly integrated with actuators for remote control of the test bench instead of the control cabin. In this way, IoT technologies will facilitate remote access, allowing operators to monitor and control diesel engines from a centralized platform. Also in addition to the sensors already integrated into the test bench, other sensors will be added to improve the data collection capabilities, thus providing a complete overview of the performance parameters of diesel engines. These sensors capture real-time data during the diagnostic, enabling continuous monitoring of critical variables such as temperature, pressure, and fuel consumption for future predictive maintenance implementation based on a machine-learning model. © 2024 IEEE.

关键词： Predictive maintenance

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Method for Evaluating the Multi-factor Decision-Making Efficiency Based on Dynamic Bayesian network 20th

Method for Evaluating the Multi-factor Decision-Making Effic...

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20th Chinese Intelligent systems conference

作者： Zhang, Wen-Bo Yang, Jun-Feng Tong, Jia-Hui Li, Yue Beijing Electromech Engn Inst Natiomal Key Lab Complex Syst Control & Intellige Beijing Peoples R China

ISBN: (纸本)9789819786565;9789819786541;9789819786534

This research focuses on the problem of evaluating the effectiveness of equipment decision-making in uncertain multi-factors where multiple factors affect the decision-making process. To address this issue, the study proposes a method for developing a dynamic Bayesian network-based equipment decision-making model and optimizing it. The study also aims to establish a model for evaluating the effectiveness of equipment decision-making based on a dynamic Bayesian network. The study has built a assessment system that simulates the capabilities of various equipment in penetrating through enemy firewalls. The system takes into account the effects of multiple factors such as equipment performance, environment and enemy defense capabilities. The study also analyzes the errors in the effectiveness evaluation model in typical scenarios to identify areas that need improvement.

关键词： Uncertain multi-factors Effectiveness Decision-making Assessment system

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Impact of Sinkhole Attacks on IoT network Efficiency using Cooja 12

Impact of Sinkhole Attacks on IoT Network Efficiency using C...

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12th IEEE conference on systems, Process and control, ICSPC 2024

作者： Bin, Max Ling Wei Kamis, Noor Hisham Razak, Siti Fatimah Abdul Yogarayan, Sumendra Yassin, S.M.Warusia Mohamed S.M.M Abdullah, Mohd Fikri Azli Multimedia University Ayer Keroh Faculty of Information Science and Technology Melaka Malaysia Universiti Teknikal Malaysia Melaka Durian Tunggal Faculty of Information Technology and Communication Melaka Malaysia

ISBN: (纸本)9798350391398

The internet of Things (IoT) is considered one of the huge parts in the wireless world and IoT devices provide individuals with a lot of ease in their daily life activities. As technology today is growing at an unexpected pace, individuals tend to focus on the benefits that IoT brings to their life and ignore that IoT security can harm their personal information too. Sinkhole attack is one of the issues or attacks that may affect the usage of IoT devices. The attack can potentially threaten the device or gadget usability, the safety of the IoT network, data loss and system integrity compromise. Hence, this project aims to address the security challenges by simulating sinkhole attacks on IoT devices to identify the vulnerabilities, determine the impact on confidentiality, integrity, availability. The Contiki framework is utilized with the open source Cooja to simulate and demonstrate the sinkhole attack on IoT devices. The Packet Delivery Ratio (PDR) is used to evaluate the impact of the sinkhole attacks on the network performance and how it degrades efficiency. © 2024 IEEE.

关键词： Cooja network performance simulation sinkhole

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Blockchain-Based Data Security Solutions for Autonomous Vehicles in IoVT 10

Blockchain-Based Data Security Solutions for Autonomous Vehi...

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10th International conference on Electrical Energy systems, ICEES 2024

作者： Mehta, Shiva Bhalla, Anubhav Chitkara University Institute of Engineering and Technology Chitkara University Centre for Research Impact & Outcome Punjab India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India

ISBN: (纸本)9798350353778

Therefore, the internet of Vehicular Things (IoT) is a subsystem of the internet of Things (IoT). This link enables complexity and the formation of application solutions like traffic control and predictive maintenance, among others. However, with the enhancement of interconnectivity, potential security threats are also a significant issue. This research paper aims to establish technology's ability to enhance data security in the internet of Vehicles and Things (IoTIoT). We propose a detailed framework consisting of a consortium blockchain technique, intelligent contracts, and a proof-of-authority consensus model. This framework should solve significant security issues, including data integrity, authentication, and access control. The Delaware setting of the experiment involved using a realistic simulation environment with real-world vehicle data. Thus, the proposed architecture showed its capability of protecting data from being modified, resulting in a data integrity of 95%, whereas the general systems had a 70 % *** overall identity authentication accuracy has improved to as high as 98% from 85%, proving the effectiveness of digital signatures and public-key cryptography. Also, the framework provided a transaction throughput of 120 TPS and an average latency rate of 2. 5 seconds. For this purpose, the conventional centralized systems that the paper compared addressed 150 TPS and a 1.8-second latency. That is why security has been much improved, but there are still scalability and latency problems. Improved efficiency of the blockchain network is called for to meet the real-time performance demands of IoT applications. © 2024 IEEE.

关键词： Access control

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A Survey on the Development and Application of YOLOv5 in the internet of Things 12

A Survey on the Development and Application of YOLOv5 in the...

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12th IEEE International conference on Identification, Information and Knowledge in the internet of Things, iiKI 2024

作者： Mei, Liyao Zhang, Junyu Long, Teng School of information Engineering Beijing China

ISBN: (纸本)9798331510633

Deep learning plays a growing and crucial role on the internet of Things (IoT), especially in intelligent data analysis, decision support, and automation control. YOLOv5, as an efficient model for target detection in deep learning, inherits the high-efficiency features of the YOLO series, and significantly improves the performance of real-time detection applications by enhancing the structure of the network and the optimization of the loss function. The article introduces the network structure of YOLOv5 and emphasizes an analysis of its advantages in target detection tasks. Then, the article details the optimization of the network structure based on YOLOv5, including the attention mechanism(CA) and the bidirectional feature pyramid network (BiFPN) structure. In addition, extensions of the evaluation metrics are explored, especially the improved IoU loss functions (e.g., CIoU, EIoU, and SIoU), which address the limitations of the standard IoU loss functions in dealing with targets of different shapes and sizes by introducing new penalty terms. YOLOv5 has been widely used in the IoT domain, and has demonstrated usefulness in the areas of smart city, agricultural monitoring, industrial automation, and environmental monitoring, etc., showing utility and effectiveness, while it has a promising application in the IoT field. By further optimizing the network structure of YOLOv5 and combining it with other AI techniques, it can drive IoT systems towards greater intelligence and automation. © 2024 IEEE.

关键词： Deep learning

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Promises and Potential of BBRv3 25th

Promises and Potential of BBRv3

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25th Annual International conference on Passive and Active Measurement (PAM)

作者： Zeynali, Danesh Weyulu, Emilia N. Fathalli, Seifeddine Chandrasekaran, Balakrishnan Feldmann, Anja Max Planck Inst Informat Saarbrucken Germany Vrije Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9783031562518;9783031562525

The Bottleneck-Bandwidth and Round-trip (BBR) congestion control algorithm was introduced by Google in 2016. Unlike prior congestion-control algorithms (CCAs), BBR does not rely on signals that are weakly correlated with congestion (e.g., packet loss and transient queue delay). Instead, it characterizes a path using two parameters, bottleneck bandwidth and round-trip propagation time, and is designed to converge with a high probability to Kleinrock's optimal operating point [34]. Essentially, in stable state, BBR maximizes throughput while minimizing delay and loss. Google has used BBR for a significant fraction of its network traffic both within its datacenters and on its WAN since 2017 [15]. BBR's interaction dynamics with Cubic, the widely used CCA in the internet, has received intense scrutiny: Some studies observed BBR to be unfair to Cubic, or generally loss-based CCAs. Google, to its credit, has diligently revised BBR's design to address the criticisms. This paper focuses on characterizing the promises and potential of the third, and most recent, revision of BBR-introduced to the public in July 2023. We empirically evaluate BBRv3's performance across a range of network scenarios, e.g., considering different buffer sizes, round-trip times, packet losses, and flow-size distributions. We show that despite the improvements and optimizations introduced in BBRv3, it struggles to achieve an equitable sharing of bandwidth when competing with Cubic, the widely used CCA in the internet, in a wide range of network conditions.

关键词： Congestion control BBR fairness

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