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检索条件"任意字段=International Conference on Security in Computer Networks and Distributed Systems, SNDS 2012"

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SSVBT: Secure Certificateless Aggregate Signature Scheme in VANETS with Block Chain Technology

SSVBT: Secure Certificateless Aggregate Signature Scheme in ...

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international conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Ruchi Mittal Varun Malik Manisha Aeri Kuldeep Singh Kaswan S Vikram Singh Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science and Engineering Graphic Era Hill University Graphic Era Deemed to be University Dehradun Uttarakhand Department of Computer Science and Engineering Galgotias University Greater Noida Uttar Pradesh India Amity School of Engineering and Technology Amity University Greater Noida Uttar Pradesh India

ISBN: (数字)9798350350357

ISBN: (纸本)9798350350364

The proliferation of Vehicular Ad-hoc networks (VANETs) highlights the crucial need for secure, privacy-protecting inter-vehicle communication. By integrating blockchain technology with a safe certificate-less aggregate signature process, this research presents a novel approach to enhancing VANET security. Traditional VANET signature systems that rely on PKI and certificates have their limitations solved by the suggested approach. Using a certificate-less paradigm eliminates the requirement for a certificate authority when creating keys, making key exposure and compromise less probable. By combining several signatures into one smaller one, the aggregate signature method significantly decreases network communication cost. The paper introduces blockchain technology as an extra component to the certificate-less aggregate signature, further ensuring the honesty and openness of the VANET. The blockchain records and validates transactions, aggregate signatures, key alterations, and more using its distributed and immutable ledger. This not only improves the signature scheme but also creates a VANET environment that is trustworthy and robust.

关键词： Privacy Costs Aggregates Merging Vehicular ad hoc networks Public key Market research

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A Review on Effective Detection and Prevention for DDOS Attack in Cloud Virtual Environment Using Honeypot

A Review on Effective Detection and Prevention for DDOS Atta...

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international conference on Computing, Communication, and Intelligent systems (ICCCIS)

作者： Vidhyasagar B. S Ravula Kartheek Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

Network communication is increasing day by day in many ways. The cloud is one of the most modern communication environments. This environment gives users easy access to their information whenever and wherever they need it. An organization's electronic information systems can be compromised using a honeypot, which is a deception tool. A honeypot may be used as an advanced security surveillance tool and early-warning system applied properly. Through utilising it, the risks of attacks on networks and IT systems may be reduced. Additionally, honeypots may be used to examine the methods in which attackers attempt to access an information system and to reveal important information about potential security gaps. This study looked at the way existing attack detection and prevention techniques that utilised honeynet performed. The study implemented automated honeypot solutions using virtual machines and centralised system management tools named Puppet. The attacker's source IP address, location, and timestamp were all gathered through a centralized logging systems. However, advances in this technology also open the door to new attacks. In this paper, they performed an extensive examination of distributed denial of service (DDoS) attacks and the methods that have been utilized to recognise and stop these attacks. This research will help emerging researchers at this time to grasp research questions and provide optimal solutions to these problems.

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A Trajectory Tracking System for Zebrafish Based on Embedded Edge Artificial Intelligence

A Trajectory Tracking System for Zebrafish Based on Embedded...

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international conference on Parallel and distributed systems (ICPADS)

作者： Chuanhao Zang Anming Dong Jiguo Yu Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China School of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) Jinan China Big Data Institute 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

Trajectory tracking of zebrafish is an important requirement in studying neurological disorders and developing new psychoactive drug. However, many challenges emerge for stable tracking, since zebrafish are similar in appearance, occlusion, agile, non-linear in moving and easy to swarm, all of which will lead to mistrack for multiple fish. And there is no precedent for tracking zebrafish through embedded edge artificial intelligence device. To overcome these difficulties, we present a tracking system for zebrafish based on RK3588-S. First, We construct an embedded edge AI hardware system consisting of two cameras driven by the RK3588-S, one for the front view and the other for top view of the fish. Then, we develop a 2D tracking algorithm based on YOLOv5 and the Observation-Centric Simple online and real-time tracking (OC-SORT) algorithm, which are transplanted to the RK3588-S for tracking the top and front views of the fish at the edge device. Compared with the previous methods, our method has fewer ID exchanges and highly real-time. Moreover, we apply the MQTT mechanism to establish communication links between the edge and the cloud to reliably transmit data to the cloud. The correspondence between cloud server and embedded AI is 1: N. Finally, we design a multi-view data fusion association algorithm to fuse the data of the two views in the cloud, which are further utilized to build the 3D tracklets of the zebrafish.

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Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction

Fusion of Dynamic Hypergraph and Clinical Event for Sequenti...

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international conference on Parallel and distributed systems (ICPADS)

作者： Xin Zhang Xueping Peng Hongjiao Guan Long Zhao Xinxiao Qiao Wenpeng Lu 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 Australian Artificial Intelligence Institute University of Technology Sydney Sydney Australia

Sequential diagnosis prediction (SDP) is a challenging task, aiming to predict patients’ future diagnoses based on their historical medical records. While methods based on graph neural networks (GNNs) have proven successful for this task, they typically focus on modeling pairwise diseases using a global disease combination graph. However, these approaches neglect the fine-grained higher-order relations among persistent and emerging diseases within a single visit, which may contain crucial clues to predict the next diagnosis. Additionally, they fail to fully leverage patient-related clinical information present in electronic health records (EHRs). To address these challenges, this paper proposes a novel approach called the fusion of Dynamic Hypergraph and Clinical Event (DHCE) for sequential diagnosis prediction. The proposed method aims to exploit the fine-grained higher-order relations among diagnoses within a visit and leverage clinical event information from EHRs to improve the accuracy of predicting the next diagnosis. Specifically, DHCE categorizes diagnoses within a single visit in a fine-grained granularity into persistent and emerging categories based on a patient’s historical diagnoses. It then constructs dynamic hypergraphs to capture higher-order disease relations within each visit. Next, we design a transition function to extract the transitional context from previous visits in order to generate the visit representation. Furthermore, to fully leverage patient-related clinical events in a visit, we utilize Bio-Clinical BERT to encode them and generate the clinical event representation for each visit. Finally, we combine the visit representation and event representation to generate a comprehensive patient representation, which is then used to predict the patient’s next diagnosis. Experimental results on two benchmark datasets consistently demonstrate that DHCE outperforms state-of-the-art methods 1 .

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A Decentralized Cryptocurrency Infrastructure for Edge-Based IoMT systems

A Decentralized Cryptocurrency Infrastructure for Edge-Based...

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Artificial Intelligence and Smart Communication (AISC), international conference on

作者： Abhinav Rathour Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

Significant shifts in e-health services have occurred as a result of the healthcare industry’s use of edge of the network (MEC) and Blockchain technology for improving efficiency in healthcare operations. While some MEC-Blockchain based systems have been established, there are still significant technical challenges, including insufficient service quality (QoS), privacy laws, and security concerns. Across this research, we introduce BEdgeHealth, an innovative different level of the health architecture that integrates MEC and Blockchain for offloading and sharing data in distributed hospital networks. First, a data offloading approach is released, which lets mobile devices transmit healthcare information to a close MEC server for efficient computation in a secure environment. In addition, we design a data-sharing system for the healthcare industry that employs Blockchain technology and an alien file system. Specifically, a sage Collective bargaining agreement authentication technique is paired with MEC to allow local access permissions certification at the edge nodes without the requirement for a central authority. The results of such real-world trials and evaluations demonstrate the effectiveness of the proposed method BEdge Health architecture in delivering higher quality of service and guarantees that data privacy and security when compared to the existing systems.

关键词： Privacy Hospitals Smart contracts Authentication computer architecture Quality of service Blockchains

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A Survey on VANET attacks and its security Mechanisms

A Survey on VANET attacks and its Security Mechanisms

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international conference on Parallel distributed and Grid Computing (PDGC)

作者： Tejaswi Sapala Rama Chandra Suresh Reddy Penumallu Reddy Sai Kiran M.V. Rajesh B.S.Kiruthika Devi Department of Computer Science and Engineering Aditya Engineering College Surampalem A.P. India CL Educate Ltd New Delhi India

ISBN: (纸本)9781665454025

There has been a recent surge in interest in wireless related VANETs, which are swiftly rising to the top of the priority research list for the smart-transportation system. Such system offers protection and safety measures for both driver and traveler. VANETs differ greatly from mobile ad-hoc-networks in terms of uniqueness, issues, system-design, and application. We address the architecture, security, and problems of VANETs in this study, which summarizes recent state-of-the-art solutions. Second, we go over a detailed study of security systems as well as potential solutions for ensuring secure communication in VANETs. Then, we go over all of the authentication systems that can safeguard the vehicular network from malicious nodes and other threats. This paper discusses about various attacks in VANETS and the security methods used to detect the attacks in real time. The attacks that are considered are collision attacks, sybil attacks, black-hole attacks, and jamming attacks. The security of the network is assured by detecting the threats in a timely manner.

关键词： Wireless communication Vehicular ad hoc networks Surge protection Grid computing Real-time systems Safety security

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JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation

JSRevealer: A Robust Malicious JavaScript Detector against O...

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international conference on Dependable systems and networks (DSN)

作者： Kunlun Ren Weizhong Qiang Yueming Wu Yi Zhou Deqing Zou Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Jinyinhu Laboratory Wuhan China Nanyang Technological University Singapore National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Due to the convenience and popularity of Web applications, they have become a prime target for attackers. As the main programming language for Web applications, many methods have been proposed for detecting malicious JavaScript, among which static analysis-based methods play an important role because of their high effectiveness and efficiency. However, obfuscation techniques are commonly used in JavaScript, which makes the features extracted by static analysis contain many useless and disguised features, leading to many false positives and false negatives in detection results. In this paper, we propose a novel method to find out the essential features related to the semantics of JavaScript code. Specifically, we develop JS-Revealer, a robust, effective, scalable, and interpretable detector for malicious JavaScript. To test the capabilities of JSRevealer, we conduct comparative experiments with four other state-of-the-art malicious JavaScript detection tools. The experimental results show that JSRevealer has an average F1 of 84.8% on the data obfuscated by different obfuscators, which is 21.6%, 22.3%, 18.7%, and 22.9% higher than the tools CUJO, ZOZZLE, JAST, and JSTAP, respectively. Moreover, the detection results of JSRevealer can be interpreted, which can provide meaningful insights for further security research.

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Assets Criticality Assessment of Industrial Control systems: A Wind Farm Case Study

Assets Criticality Assessment of Industrial Control Systems:...

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IEEE international conference on Software Quality, Reliability and security (QRS)

作者： Shwetha Gowdanakatte Mahmoud Abdelgawad Indrakshi Ray Department of Systems Engineering Colorado State University Fort Collins Colorado USA Department of Computer Science Colorado State University Fort Collins Colorado USA

ISBN: (数字)9798350365634

ISBN: (纸本)9798350365641

The increasing growth of threats to Industrial Control systems (ICS) in the energy sector puts this critical infrastructure at high risk. Consequently, holistic approaches are needed to assess the criticality of ICS assets, identify relevant security threats, and develop mitigation techniques to make the energy critical infrastructure cyber-resilient. This paper presents a methodology for analyzing the criticality and resiliency of ICS assets by assessing the impact caused by attacks on such assets. Our approach consists of modeling the ICS architecture in a form that is suitable for analysis. We use Coloured Petri Nets (CPN) for formal representation and analysis – CPN is supported by automated tools for analysis and it has been used for verification of real-world systems. We use Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege (STRIDE) for evaluating the threats in the ICS architecture. We use Microsoft Threat Modeling Tool (MTMT) for ICS threat modeling that classifies the threats into the categories defined in STRIDE. Based on the type of threat on each asset and its impact on the entire ICS, we rank the asset’s criticality. The threat modeling framework assesses the criticality and resiliency of tangible and intangible assets, thus addressing the gap in the current research. Threat models are also converted into CPN models. The CPN models of the ICS architecture and the threat model are then composed. The methodology then verifies the resulting CPN. This verification explores the system states where the ICS cannot resist the attacks and identifies the ICS’s critical assets that have been compromised. The methodology is applied to a wind farm system comprising many distributed subsystems connected via various networks. The result shows that the methodology is practical for the ICS verification and assets criticality assessment, providing recommended mitigations to construct a robust ICS.

关键词： Threat modeling Prevention and mitigation Industrial control Computational modeling Petri nets Wind farms Critical infrastructure

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BlockChain Based Chat Application

BlockChain Based Chat Application

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Emerging Technology (INCET), international conference for

作者： Ishan Lokhande Nilesh Deotale Bharat Mali Sneha Chauhan Jayesh Dhuri Depertment of Computer Engineering St. John College of Engineering and Management Palghar India

Peer-to-peer networks are used by decentralized applications to ensure that no network failure can be caused by a failing central node. Today's environment, where holding data on a centralized server might be unsafe and expensive, requires a decentralized application for communication and resource sharing. We developed a programme that uses blockchain technology and decentralized networks to guarantee user privacy and make it simple for blockchain administrators to track down the source of false rumors that circulate throughout the network. The workload for file synchronization and sharing is distributed among a service, a client and a provider. This paper focuses on how decentralization could assist in successfully overcoming such problems. Decentralization would result in an increase in workers who will transfer data from a client node to a server node. When sharing data, blockchain would guarantee security. The suggested model can be utilized to move large data in a comparatively faster time frame. Additionally, the study elaborates on the design implications and factors, a user must comprehend in order to use this model properly and to obtain better outcomes when deployed onto the systems.

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TOSA: Tolerating Stuck-At-Faults in Edge-based RRAM Inference Accelerators

TOSA: Tolerating Stuck-At-Faults in Edge-based RRAM Inferenc...

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international conference on Parallel and distributed systems (ICPADS)

作者： Shaofeng Zhao Bo Liu Fang Wang Dan Feng Xiang Chen School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Cyberspace Security Zhengzhou University Zhengzhou China

Applications powered by Deep Neural networks (DNNs) are shifting from cloud to edge computing due to the promising performance efficiency of Resistive Random Access Memory (RRAM) devices. However, modern RRAM devices have various possible faults, including hard and soft faults. Existing RRAM-based deep learning systems lack a comprehensive fault tolerance approach, leading to safety risks in deploying edge-end DNN inference. In this paper, we propose an effective fault recovery framework called TOSA to safeguard edge-based DNN accelerators from Stuck-At-Faults (SAFs). Two novel ideas are presented to enhance reliability in edge-based RRAM inference accelerators: (1) SAFs-aware priority-based bit-memristor mapping algorithm to match integrated SAF variations and DNN’s defect tolerance, (2) a new retraining method called joint retraining to recover model accuracy from multiple faulty edge devices. We thoroughly evaluate TOSA on multiple DNN models, demonstrating its effectiveness in reducing costs and improving efficiencies. Experimental results show that TOSA achieves a 45.28× speedup when compared to the per-device retraining methods while preserving inference accuracy better than the latest competitor, making it a reliable architecture for accelerating DNN inference on edge devices.

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