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检索条件"任意字段=2nd International Conference on Security in Computer Networks and Distributed Systems, SNDS 2014"

共 309 条记录，以下是61-70 订阅

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5th international Workshop on security of Industrial Control systems and Cyber-Physical systems, CyberICPS 2019, the 3rd international Workshop on security and Privacy Requirements Engineering, SECPRE 2019, the 1st international Workshop on security, Privacy, Organizations, and systems Engineering, SPOSE 2019, and the 2nd international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in conjunction with the 24th European Symposium on Research in computer security, ESORICS 2019

5th International Workshop on Security of Industrial Control...

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5th international Workshop on security of Industrial Control systems and Cyber-Physical systems, CyberICPS 2019, the 3rd international Workshop on security and Privacy Requirements Engineering, SECPRE 2019, the 1st international Workshop on security, Privacy, Organizations, and systems Engineering, SPOSE 2019, and the 2nd international Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in conjunction with the 24th European Symposium on Research in computer security, ESORICS 2019

ISBN: (纸本)9783030420475

The proceedings contain 27 papers. The special focus in this conference is on security of Industrial Control systems and Cyber-Physical systems. The topics include: ADIoT 2019 preface;anomaly detection for industrial control systems using sequence-to-sequence neural networks;a conceptual redesign of a modelling language for cyber resiliency of healthcare systems;shaping digital identities in social networks: Data elements and the role of privacy concerns;GDPR compliance: Proposed technical and organizational measures for cloud providers;on the applicability of security and privacy threat modeling for blockchain applications;privacy, security, legal and technology acceptance requirements for a gdpr compliance platform;uncertainty-aware authentication model for IoT;From ISO/IEC 27002:2013 information security controls to personal data protection controls: Guidelines for GDPR compliance;on the trade-off between privacy and utility in mobile services: A qualitative study;analysis of automation potentials in privacy impact assessment processes;an insight into decisive factors in cloud provider selection with a focus on security;reflective attenuation of cyber-physical attacks;discrete event simulation of jail operations in pursuit of organizational culture change;a basic theory of lightweight hierarchical key predistribution scheme;adversarial examples for hardware-trojan detection at gate-level netlists;selective forwarding attack on IoT home security kits;Denial-of-service attacks and countermeasures in the RPL-based internet of things;Study of DNS rebinding attacks on smart home devices;Anomaly detection in the HVAC system operation by a radviz based visualization-driven approach;secure location verification: Why you want your verifiers to be mobile;distributed UCON in CoAP and MQTT protocols.

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A Blockchain-Based distributed Authentication and Dynamic Group Key Agreement Protocol 2nd

A Blockchain-Based Distributed Authentication and Dynamic Gr...

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2nd international conference on Blockchain and Trustworthy systems, Blocksys 2020

作者： Xu, Zisang Li, Feng Tan, Minfu Zhang, Jixin Computer and Communication Engineer Institute Changsha University of Science and Technology ChangshaHunan410114 China Big data development and Research Center Guangzhou College of Technology and Business Guangzhou528138 China School of Computer Science Hubei University of Technology WuhanHubei430068 China

ISBN: (纸本)9789811592126

With the rapid development of mobile networks, there are more and more application scenarios that require group communication. Group communication can transmit messages to all group members with minimal resources. The security of group communication depends on the security of the group key. Most existing group key agreement protocols are often flawed in performance, scalability, or security. Therefore, this paper proposes a blockchain-based distributed authentication and dynamic group key agreement protocol. Based on blockchain technology, this protocol improves the scalability and makes it possible to track malicious members. In addition, comparison with related protocols shows that our protocol reduces computational and communication costs. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Authentication

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Innovative Secure Authentication Interface for Hadoop Cluster Using DNA Cryptography: A Practical Study 1

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2nd international conference on Soft Computing and Signal Processing, ICSCSP 2019

作者： Balaraju, J. Prasada Rao, P.V.R.D. Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur VaddeswaramAndhra Pradesh522502 India

ISBN: (数字)9789811524752

ISBN: (纸本)9789811524745

Big data (BD) handling is a vital task in today’s world where huge amount of data is circulated within a distributed network. To handle BD, Hadoop is being widely used by various organizations, as Hadoop supports both parallel processing and distributed computing over wide area networks. Hadoop clusters (HC) are widely accepted in the distributed and parallel computing frameworks for storing the BD because of its good scalability, tightly coupling among commodity hardware. Though data storage and processing can be handled well by HC, it does not provide data security which is inevitable where data may contain sensitive information. In HC Yet Another Resource Negotiator (YARN) and NameNode act as masters that provide resources for users and processes without authentication. All kinds of users in HC have the same level of accessing privileges which can be a threat to data security. HC completely depends on third-party security providers for satisfying various security requirements which in turn is a computational burden. This paper proposes a proprietary new security mechanism, implemented as Secure Authentication Interface (SAI) layer over HC. SAI provides user authentication, metadata security and access control all at a time. Compared to the existing mechanisms, SAI can provide security with less computational overhead. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Metadata

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distributed Denial of Service Attack Detection using Naïve Bayes and K-Nearest Neighbor for Network Forensics 2

Distributed Denial of Service Attack Detection using Naïve ...

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2nd international conference on Innovative Mechanisms for Industry Applications, ICIMIA 2020

作者： Kachavimath, Amit V. Nazare, Shubhangeni Vijay Akki, Sheetal S. KLE Technological University Master of Computer Applications Hubli Karnataka India

ISBN: (纸本)9781728141671

The detection of anomaly traffic has become one of the principal directions in the field of network security intending to identify the attacks based on the specific deviations of the captured traffic. The cybercrime rate is increasing, capabilities of the cyber terrorists and hackers are growing at a higher rate. Today there is a requirement for the innovation and exploration for the mitigation of DDoS attacks. One of the most popular attacks in different layers of the network is distributed Denial of Service (DDoS) a malicious try to interrupt regular traffic of a directed server, service, or network by irresistible to the target of its nearby infrastructure with anomalous flood traffic to the legitimate servers. An attacker usually targets for gaining access to virtual things like servers, applications, networks and sometimes targets particular transactions in an application. The detection of anomalous network traffic is one of the main challenging problems. Measures taken to stand as a wall of protection are intrusion detection systems and firewalls, which are still insufficient because day by day, there are different types of attacks happening, so these pillars are to be updated regularly. The predictive analytics methodology used for the detection of anomalous network traffic is by using statistical differences and alternate methods to improve detection performance based on Machine learning using statistical features of the dataset. This paper presents a detection model for DDoS attacks to enhance enterprise network security via machine learning. The machine learning framework extracts the high-level features and identifies the hidden patterns from network traffic and detects the DDoS attacks. The experimental results demonstrate the better performance of K- nearest neighbor and naïve bayes algorithms compared with the conventional learning models. © 2020 IEEE.

关键词： Denial-of-service attack

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Internet of Things-Based Middleware Against Cyber-Attacks on Smart Homes using Software-Defined Networking and Deep Learning

Internet of Things-Based Middleware Against Cyber-Attacks on...

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Computational Methods in Science & Technology (ICCMST), international conference on

作者： Mohammed Tawfik Nasser M. Al-Zidi Belal Alsellami Aymen M. Al-Hejri Sunil Nimbhore Dr. Babasaheb Ambedkar Marathwada University Aurangabad India Faculty of Administrative and Computer Sciences Albaydha University Albaydha Yemen

ISBN: (纸本)9781665458672

Internet of Things (IoT) devices are expected to number about 3.5 billion by 2023.; a tremendous amount of Internet of Things (IoT) data that is generating (IoT) devices is estimated to exceed 79.4 zettabytes by 2025. security challenges will become an increasingly significant issue, especially in smart homes that depend entirely on IoT devices. Due to the weak infrastructure of the IoT, it is vulnerable to various types of cyber-attacks. The most common IoT attacks are distributed denial of service (DDoS). Most traditional security solutions, like intrusion detection systems (IDS), cannot detect most attacks. Complexity is being hidden by a new paradigm that recently arose, called the software-defined system that is brings a significant change to the networking industry, a great solution for mitigation of attacks that can adopt deep learning technique to encounter cyber-attacks based on the attack behavior and by filtering normal and attack traffic by using well-defined rules. This paper proposed a system by suggesting middleware that can help mitigate or prevent various attacks on IoT on smart home environment. Machine learning has included in the middleware to provide automatic protection against cyber-attacks on IoT networks. A promising approach to protecting real-time, highly accurate attacks on SDN-managed IoT networks has been proposed. This middleware allows IoT devices to efficiently handle evolving security threats dynamically and adaptively without impacting the IoT devices.

关键词： Deep learning Smart homes Telecommunication traffic Switches Logic gates Real-time systems Internet of Things

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2nd international conference on Blockchain and Trustworthy systems, Blocksys 2020

2nd International Conference on Blockchain and Trustworthy S...

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2nd international conference on Blockchain and Trustworthy systems, Blocksys 2020

ISBN: (纸本)9789811592126

The proceedings contain 53 papers. The special focus in this conference is on Blockchain and Trustworthy systems. The topics include: A Blockchain-Based distributed Authentication and Dynamic Group Key Agreement Protocol;scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework;poW-Based Sybil Attack Resistant Model for P2P Reputation systems;phishing Detection on Ethereum via Learning Representation of Transaction Subgraphs;detection of Smart Ponzi Schemes Using Opcode;towards on Blockchain Data Privacy Protection with Cryptography and Software Architecture Approach;research and Implementation of Cross-Chain Transaction Model Based on Improved Hash-Locking;a security Problem in Small Scale Private Ethereum Network;An Attack Detection and Defense Method for SDWN Oriented Blockchain Network;a Blockchain Consensus Mechanism for Marine Data Management System;BPS-VSS: A Blockchain-Based Publish/Subscribe Video Surveillance System with Fine Grained Access Control;SDABS: A Secure Cloud Data Auditing Scheme Based on Blockchain and SGX;privacy-Preserving Multi-keyword Search over Outsourced Data for Resource-Constrained Devices;blockchain-Based Secure Cloud Data Deduplication with Traceability;PCN-Based Secure Energy Trading in Industrial Internet of Things;a Data Trading Scheme Based on Payment Channel Network for Internet of Things;blockchain Based Trust Management in Vehicular networks;CMBIoV: Consensus Mechanism for Blockchain on Internet of Vehicles;adaptive Edge Resource Allocation for Maximizing the Number of Tasks Completed on Time: A Deep Q-Learning Approach;scheduling of Time Constrained Workflows in Mobile Edge Computing;a Complete Anti-collusion Mechanism in Blockchain;an Efficient Offloading Scheme for Blockchain-Empowered Mobile Edge Computing;clustering Algorithm Based on Task Dependence in Vehicle-Mounted Edge networks.

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Exploiting MQTT-SN for distributed Reflection Denial-of-Service Attacks 11th

Exploiting MQTT-SN for Distributed Reflection Denial-of-Serv...

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11th international Workshop on Biological Knowledge Discovery from Data, BIOKDD 2020, the 4th international Workshop on Cyber-security and Functional Safety in Cyber-Physical systems, IWCFS 2020, the 2nd international Workshop on Machine Learning and Knowledge Graphs, MLKgraphs2019, held at the 31st international conference on Database and Expert systems Applications, DEXA 2020

作者： Sochor, Hannes Ferrarotti, Flavio Ramler, Rudolf Software Competence Center Hagenberg GmbH Softwarepark 21 Hagenberg4232 Austria

ISBN: (纸本)9783030590277

distributed Denial-of-Service attacks are a dramatically increasing threat to Internet-based services and connected devices. In the form of reflection attacks they are abusing other systems to perform the actual attack, often with an additional amplification factor. In this work we describe a reflection attack exploiting the industrial Message Queuing Telemetry Transport for Sensor networks (MQTT-SN) protocol, which theoretically allows to achieve an unlimited amplification rate. This poses a significant risk not only for the organizations which are running a MQTT-SN broker but also for possible targets of such DRDoS attacks. Countermeasures are limited as the underlying weakness is rooted in the specification of MQTT-SN itself. © 2020, Springer Nature Switzerland AG.

关键词： Sensor networks

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Information security:A review of information security issues and techniques 2

Information Security:A review of information security issues...

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2nd international conference on computer Applications and Information security (ICCAIS)

作者： Alkhudhayr, Fatimah Alfarraj, Shouq Aljameeli, Buthina Elkhdiri, Salim Qassim Univ IT Dept BIND Res Grp Coll Comp Qasim Saudi Arabia

ISBN: (纸本)9781728101088

Currently, corporations are more into using distributed systems and relying on networks and communication facilities for transmitting critical and important information that needs to be secured. Therefore, protecting corporations' information becomes more important, and information security is essential to maintain. Information security is defined as protecting the information, the system, and the hardware that use, store and transmit the information, to ensure integrity, confidentiality and availability of data and operation procedures are protected. In this paper, we illustrate the factors that impact information security in different fields;cyber security, Internet of Things and network security from various studies and outline the security requirements to reduce this impact.

关键词： information security cyber security Internet of Things network security attacks

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A Review of Cyber Securities in Smart Grid Technology

A Review of Cyber Securities in Smart Grid Technology

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international conference on Computation, Automation and Knowledge Management (ICCAKM)

作者： Asif Iqbal Kawoosa Deepak Prashar Lovely Professional University Punjab India

ISBN: (数字)9781728194912

ISBN: (纸本)9781728194929

A Smart Grid (SG) is an electrical infrastructure much like legacy power grid with scalable and pervasive two-way communications, timely control capabilities, large scale integration of distributed resources and efficient use of resources. The SG provides the features of pervasive smart monitoring technologies, automatic equipment fault sensing and self-healing. The features like `Wireless Automatic Meter Reading' (WAMR), monitoring of power system stability, distributed energy resources optimization and applications of Demand Response system makes it intelligent infrastructure. Given some of these salient features, SGs without any doubt are the future power infrastructure of energy world. A smart grid has ability to connect millions of consumers and devices in a network which demand it to be highly robust, reliable and secure. security is considered as one of the major challenges in the present-day smart grid systems because of its long-range communication on open networks. Cybercriminals, hackers, terrorists are trying to attack this national infrastructure due to their malicious intensions or to get control on the automated energy monitoring and remote controlling for personal gains. This review paper offers a comprehensive survey of understanding of Smart Grids, architecture of SGs, methodologies used, the communication protocols but the focus is mainly on the cyber-attacks carried out and solutions recommended on the smart grids. We finally discuss the various challenges in cyber security, the issues that still exist in the literature and current solution space with future research gap.

关键词： computer hacking Terrorism Software Smart grids Reliability computer crime Monitoring

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Analysis and Mitigation of DDoS Flooding Attacks in Software Defined networks 2nd

Analysis and Mitigation of DDoS Flooding Attacks in Software...

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2nd international conference on Innovative Computing and Communication, ICICC 2019

作者： Samta, Rajni Sood, Manu Department of Computer Science H.P. University Shimla India

ISBN: (纸本)9789811503238

To analyze and evaluate the securityof the latest network architectures like Software Defined Network (SDN) architectures is a significant step in protecting these against various security threats. The security of SDN assumes greater significance as this dynamic network paradigm, in addition to its great future potential, experiences various design complexities and common Open-flow shortcomings, such as the issues related to a centralized controller. There is no doubt that SDN has been perceived as a standout among the most common ideal models for the networks because of its property of isolation of control and information planes. However, various malicious activities have managed to affect the network performance. distributed Denial of Service (DDoS) attack has been one of the most crucial issues as far as the dependability on the Internet is concerned. This attack makes the service of any host or hub connected to the network difficult due to a wide variety of its approaches by hampering the normal functioning of the network. The inherent simplicity of SDN makes it easily vulnerable to DDoS attacks. This paper presents the techniques to detect the presence of flooding DDoS attacks in SDN. Three types of techniques have been shown to be implemented for mitigation of these attacks in SDN. Besides, a comparison of the performance of traditional networks and SDN under this type of DDoS attack has been illustrated in terms of throughput and Round-Trip-Time. It has been shown through experimentation that performance of SDN’s degrades drastically as compared to that of traditional networks under DDoS attacks. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Denial-of-service attack

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