Securetrade: a secure protocol based on transferable E-cash for exchanging cards in P2P trading card games.

Trading card games (TCG) distinguish from traditional card games mainly because the cards are not shared between players in a match. Instead, users play with the cards they own (e.g., purchased or traded with other players), which corresponds to a subset of all cards produced by the game provider. Even though most computer-based TCGs rely on a trusted third-party (TTP) for preventing cheating during trades, allowing them to securely do so without such entity remains a challenging task. Actually, potential solutions are related to e-cash protocols, but, unlike the latter, TCGs require users to play with the cards under their possession, not only to be able to pass those cards over. In this work, we present the security requirements of TCGs and how they relate to e-cash. We then propose a concrete, TTP-free protocol for anonymously trading cards, using as basis a secure transferable e-cash protocol.

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A Secure Protocol against Selfish and Pollution Attacker Misbehavior in Clustered WSNs

Electronics ◽

10.3390/electronics10111244 ◽

2021 ◽

Vol 10 (11) ◽

pp. 1244

Author(s):

Hana Rhim ◽

Damien Sauveron ◽

Ryma Abassi ◽

Karim Tamine ◽

Sihem Guemara

Keyword(s):

Denial Of Service ◽

Base Station ◽

Hierarchical Organization ◽

Secure Routing ◽

Sensor Nodes ◽

Dos Attacks ◽

Linear Network ◽

Secure Protocol ◽

Misbehaving Nodes ◽

Pollution Attacks

Wireless sensor networks (WSNs) have been widely used for applications in numerous fields. One of the main challenges is the limited energy resources when designing secure routing in such networks. Hierarchical organization of nodes in the network can make efficient use of their resources. In this case, a subset of nodes, the cluster heads (CHs), is entrusted with transmitting messages from cluster nodes to the base station (BS). However, the existence of selfish or pollution attacker nodes in the network causes data transmission failure and damages the network availability and integrity. Mainly, when critical nodes like CH nodes misbehave by refusing to forward data to the BS, by modifying data in transit or by injecting polluted data, the whole network becomes defective. This paper presents a secure protocol against selfish and pollution attacker misbehavior in clustered WSNs, known as (SSP). It aims to thwart both selfish and pollution attacker misbehaviors, the former being a form of a Denial of Service (DoS) attack. In addition, it maintains a level of confidentiality against eavesdroppers. Based on a random linear network coding (NC) technique, the protocol uses pre-loaded matrices within sensor nodes to conceive a larger number of new packets from a set of initial data packets, thus creating data redundancy. Then, it transmits them through separate paths to the BS. Furthermore, it detects misbehaving nodes among CHs and executes a punishment mechanism using a control counter. The security analysis and simulation results demonstrate that the proposed solution is not only capable of preventing and detecting DoS attacks as well as pollution attacks, but can also maintain scalable and stable routing for large networks. The protocol means 100% of messages are successfully recovered and received at the BS when the percentage of lost packets is around 20%. Moreover, when the number of misbehaving nodes executing pollution attacks reaches a certain threshold, SSP scores a reception rate of correctly reconstructed messages equal to 100%. If the SSP protocol is not applied, the rate of reception of correctly reconstructed messages is reduced by 90% at the same case.

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Benefits of Playing Numerical Card Games on Head Start Children’s Mathematical Skills

The Journal of Experimental Education ◽

10.1080/00220973.2019.1581721 ◽

2019 ◽

Vol 88 (2) ◽

pp. 200-220

Author(s):

Nicole R. Scalise ◽

Emily N. Daubert ◽

Geetha B. Ramani

Keyword(s):

Head Start ◽

Mathematical Skills ◽

Card Games

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Efficient Secure Multiparty Computation Protocol for Sequencing Problem over Insecure Channel

Mathematical Problems in Engineering ◽

10.1155/2013/172718 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Yi Sun ◽

Qiaoyan Wen ◽

Yudong Zhang ◽

Hua Zhang ◽

Zhengping Jin

Keyword(s):

Homomorphic Encryption ◽

Privacy Preserving ◽

Secure Multiparty Computation ◽

Online Auction ◽

Multiparty Computation ◽

Sequencing Problem ◽

The Core ◽

Secure Protocol ◽

Core Issue

As a powerful tool in solving privacy preserving cooperative problems, secure multiparty computation is more and more popular in electronic bidding, anonymous voting, and online auction. Privacy preserving sequencing problem which is an essential link is regarded as the core issue in these applications. However, due to the difficulties of solving multiparty privacy preserving sequencing problem, related secure protocol is extremely rare. In order to break this deadlock, this paper first presents an efficient secure multiparty computation protocol for the general privacy-preserving sequencing problem based on symmetric homomorphic encryption. The result is of value not only in theory, but also in practice.

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Secure Protocol for Subscriber Identity Module

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM) ◽

10.1109/icrtccm.2017.74 ◽

2017 ◽

Cited By ~ 1

Author(s):

Akshat Pradhan ◽

K. Marimuthu ◽

R. Niranchana ◽

P. Vijayakumar

Keyword(s):

Secure Protocol

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Towards Self-Awareness Privacy Protection for Internet of Things Data Collection

Journal of Applied Mathematics ◽

10.1155/2014/827959 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 8

Author(s):

Kok-Seng Wong ◽

Myung Ho Kim

Keyword(s):

Data Collection ◽

Internet Of Things ◽

Personal Data ◽

Self Awareness ◽

Privacy Concern ◽

Goods And Services ◽

Data Collector ◽

Inaccurate Data ◽

Secure Protocol ◽

The Internet Of Things

The Internet of Things (IoT) is now an emerging global Internet-based information architecture used to facilitate the exchange of goods and services. IoT-related applications are aiming to bring technology to people anytime and anywhere, with any device. However, the use of IoT raises a privacy concern because data will be collected automatically from the network devices and objects which are embedded with IoT technologies. In the current applications, data collector is a dominant player who enforces the secure protocol that cannot be verified by the data owners. In view of this, some of the respondents might refuse to contribute their personal data or submit inaccurate data. In this paper, we study a self-awareness data collection protocol to raise the confidence of the respondents when submitting their personal data to the data collector. Our self-awareness protocol requires each respondent to help others in preserving his privacy. The communication (respondents and data collector) and collaboration (among respondents) in our solution will be performed automatically.

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