scholarly journals A resilient micro-payment infrastructure: an approach based on blockchain technology

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Soumaya Bel Hadj Youssef ◽  
◽  
Noureddine Boudriga ◽  
Keyword(s):  
Real Time ◽  
Waiting Time ◽  
Time Management ◽  
Block Size ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Security Services ◽  
Blockchain Technology ◽  
Trust Models ◽  
User Trust

Resilient micro-payment infrastructures are critical assets to digital economy as they help protecting transactions and promote micro shopping. In this paper, we present a micro-payment infrastructure based on blockchain technology that is capable of decreasing the complexity of transactions’ verification, reducing losses, and protecting against various cyber attacks. This infrastructure is user trust-aware, in the sense that it builds a trust function capable of providing real time management of the user’s trust levels based on historic activity and then adapts the level of verification and risk of user’s misconduct. Moreover, three different trust models are developed to provide different estimations of the tokens’ block size to be submitted to the blockchain network for verification and management of the user waiting time. The micropayment infrastructure provides different security services such as authentication, doublespending and double-selling prevention, tokens forging prevention, transaction traceability, and resilience to cyber-attack. In addition, its reactivity is improved through the reduction of the verification delay and user waiting time.

scholarly journals Comparative Study between Big Data Analysis Techniques in Intrusion Detection

2018 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
Mounir Hafsa ◽  
Farah Jemili
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Large Scale ◽  
Fault Tolerant ◽  
Time Frame ◽  
Cyber Attacks ◽  
Sensitive Information ◽  
Cyber Attack ◽  
Processing Power ◽  
Damage Costs

Cybersecurity ventures expect that cyber-attack damage costs will rise to $11.5 billion in 2019 and that a business will fall victim to a cyber-attack every 14 seconds. Notice here that the time frame for such an event is seconds. With petabytes of data generated each day, this is a challenging task for traditional intrusion detection systems (IDSs). Protecting sensitive information is a major concern for both businesses and governments. Therefore, the need for a real-time, large-scale and effective IDS is a must. In this work, we present a cloud-based, fault tolerant, scalable and distributed IDS that uses Apache Spark Structured Streaming and its Machine Learning library (MLlib) to detect intrusions in real-time. To demonstrate the efficacy and effectivity of this system, we implement the proposed system within Microsoft Azure Cloud, as it provides both processing power and storage capabilities. A decision tree algorithm is used to predict the nature of incoming data. For this task, the use of the MAWILab dataset as a data source will give better insights about the system capabilities against cyber-attacks. The experimental results showed a 99.95% accuracy and more than 55,175 events per second were processed by the proposed system on a small cluster.

scholarly journals Blockchain Technology towards the Mitigation of Distributed Denial of Service Attacks

2020 ◽  
Vol 8 (6) ◽  
pp. 961-965
Keyword(s):  
Denial Of Service ◽  
Distributed Database ◽  
Cyber Attacks ◽  
Distributed Denial Of Service ◽  
Cyber Attack ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Blockchain Technology ◽  
Main Challenge ◽  
Communication Devices

The Distributed Denial of Service attack become one of the most adverse effects among all Cyber-attack due to the high availability of the internet and unprotected internetconnected communication devices. There are many mitigation solutions available to reduce the risk of DDoS attacks, and the researcher represents many techniques to get rid of the DDoS attacks. The main challenge to identify and mitigate the attack is that attack traffic mixes with the legitimate system user traffic so it becomes very important to block the attack traffic because it costs in terms of money and system reputation. Blockchain technology presents the ideology of decentralized distributed database and transaction without the need of any central authority. But utilization of blockchain is not only limited to the financial sector but supply chain, IoT, hospitality sector used blockchain most. The most attractive features of the blockchain like immutability, distributed makes the use of blockchain for mitigation of various Cyber-attacks, and one of them is DDoS Attacks. The solution of DDoS attacks that utilize the blockchain is still in the infancy phase. In this paper, we propose the review or survey of DDoS attacks solutions based on blockchain. And also present the comparative study of Blockchain-based DDoS mitigation solutions for non-IOT domain or system. This paper also gives brief about the features of this interconnection of two emerging domain named DDoS Attacks and Blockchain Technology.

scholarly journals An intelligent transportation system for forecasting wireless communication network issues with cyber attacks

2021 ◽  
Author(s):  
M. Khaleel Ullah Khan ◽  
Keyword(s):  
Wireless Communication ◽  
Real Time ◽  
Communication Networks ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Cyber Attacks ◽  
Wireless Communication Networks ◽  
Cyber Attack ◽  
Wireless Communication Network

This paper propose a method to design an “Intelligent Transportation System” for forecasting wireless communication network issues with cyber attacks. Wireless communication networks(WCN) is a broadly classified and critical gateway for any communication devices because the wireless communication networks is operated at various frequency ranges in different locations. In order to maintain its performance and also to prevent any attacks due to its high data handling, we need an Intelligent transportation system (ITS) to analyse and detect the cyber-attacks before going to implement it in real time transportation. In general wireless communication networks is an IEEE 802.11 standard which can be operated at physical Transfer control protocol/Internet protocol(TCP/IP) layer as well OSI model. In this paper a novel approach to design, analyse and detect cyber-attacks is proposed for wireless communication networks transport system, called Intelligent transportation system (ITS) based cyber-attack detection. Stacked firewall system is used for reducing fake attacks and detecting real time attacks in transportation system. Hence any fake attacks or real time attacks captured by the ITS will be informed to the system controller to make decision to whether it is a false-positive or real attack. ITS is the main process of the stacked firewall system which in turn take responsible to control, maintain, and prevent any cyber-attack.

Towards guaranteed data-integrity: A method of preventing Questionable Research Practices

2018 ◽  
Author(s):  
Dick Bierman ◽  
Jacob Jolij
Keyword(s):  
Real Time ◽  
Open Data ◽  
Data Integrity ◽  
Drop Out ◽  
Research Practices ◽  
Major Aspect ◽  
Questionable Research Practices ◽  
Blockchain Technology ◽  
Integrity System ◽  
Secure Server

We have tested the feasibility of a method to prevent the occurrence of so-called Questionable Research Practices (QRP). A part from embedded pre-registration the major aspect of the system is real-time uploading of data on a secure server. We outline the method, discuss the drop-out treatment and compare it to the Born-open data method, and report on our preliminary experiences. We also discuss the extension of the data-integrity system from secure server to use of blockchain technology.

The invisible hole of information on SMB's cybersecurity

2019 ◽  
Vol 7 (1) ◽  
pp. 14-26
Author(s):  
Ruti Gafni ◽  
Tal Pavel
Keyword(s):  
Mass Communication ◽  
Cyber Attacks ◽  
Communication Media ◽  
Specific Information ◽  
Exploratory Research ◽  
Cyber Attack ◽  
Public Attention ◽  
Cyber Threats ◽  
Accessible Information ◽  
Types Of Information

Small and Medium Businesses (SMB) use Internet and computer-based tools in their daily processes, sometimes without being aware to the cyber threats, or without knowing how to be prepared in case of a cyber-attack, although they are a major target for cyber-attacks. Specific information about cybersecurity needed by SMBs, in order to cope with cyber threats, is not always available or easily accessible. In this study, a vast search of different types of information about SMBs’ cybersecurity was performed, in order to find whether a hole of accessible information exists in this area. This exploratory research covered general mass communication media channels, technological and professional cybersecurity websites, and academic journals, and found that indeed very few studies, articles and news items were published in this matter. Leveraging knowledge and awareness, diminishing the shame for reporting cyber-attacks, and increasing mass communication media interest and public attention, may be activities to cover this “invisible hole”.

scholarly journals Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Kevin Page ◽  
Max Van Kleek ◽  
Omar Santos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Real Time ◽  
Cyber Security ◽  
Extreme Environments ◽  
Learning Technologies ◽  
Cyber Attacks ◽  
Edge Computing ◽  
Mathematical Formulas ◽  
Cyber Risk

AbstractMultiple governmental agencies and private organisations have made commitments for the colonisation of Mars. Such colonisation requires complex systems and infrastructure that could be very costly to repair or replace in cases of cyber-attacks. This paper surveys deep learning algorithms, IoT cyber security and risk models, and established mathematical formulas to identify the best approach for developing a dynamic and self-adapting system for predictive cyber risk analytics supported with Artificial Intelligence and Machine Learning and real-time intelligence in edge computing. The paper presents a new mathematical approach for integrating concepts for cognition engine design, edge computing and Artificial Intelligence and Machine Learning to automate anomaly detection. This engine instigates a step change by applying Artificial Intelligence and Machine Learning embedded at the edge of IoT networks, to deliver safe and functional real-time intelligence for predictive cyber risk analytics. This will enhance capacities for risk analytics and assists in the creation of a comprehensive and systematic understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when Artificial Intelligence and Machine Learning technologies are migrated to the periphery of the internet and into local IoT networks.

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