AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks

In P2P networks, self-organizing anonymous peers share different resources without a central entity controlling their interactions. Peers can join and leave the network at any time, which opens the door to malicious attacks that can damage the network. Therefore, trust management systems that can ensure trustworthy interactions between peers are gaining prominence. This paper proposes AntTrust, a trust management system inspired by the ant colony. Unlike other ant-inspired algorithms, which usually adopt a problem-independent approach, AntTrust follows a problem-dependent (problem-specific) heuristic to find a trustworthy peer in a reasonable time. It locates a trustworthy file provider based on four consecutive trust factors: current trust, recommendation, feedback, and collective trust. Three rival trust management paradigms, namely, EigenTrust, Trust Network Analysis with Subjective Logic (TNA-SL), and Trust Ant Colony System (TACS), were tested to benchmark the performance of AntTrust. The experimental results demonstrate that AntTrust is capable of providing a higher and more stable success rate at a low running time regardless of the percentage of malicious peers in the network.

May I sleep in your bed? Getting permission to book

Demand for tourist accommodation offered on peer-to-peer networks is skyrocketing. In such networks tourists can only book if the accommodation provider (host) gives their permission. Needing permission to book accommodation is radically new in tourism. No hotel, motel or B&B assesses a booking inquiry in detail before accepting their booking. But do peer-to-peer network hosts actually refuse permission to book and, if so, why? A choice experiment with Airbnb hosts shows that refusing permission to book is common and that specific attributes of the booking inquiry—such as the purpose of their trip—affect the likelihood of getting permission to book.

The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting

Bias in clinical practice, in particular in relation to race and gender, is a persistent cause of healthcare disparities. We investigated the potential of a peer-network approach to reduce bias in medical treatment decisions within an experimental setting. We created “egalitarian” information exchange networks among practicing clinicians who provided recommendations for the clinical management of patient scenarios, presented via standardized patient videos of actors portraying patients with cardiac chest pain. The videos, which were standardized for relevant clinical factors, presented either a white male actor or Black female actor of similar age, wearing the same attire and in the same clinical setting, portraying a patient with clinically significant chest pain symptoms. We found significant disparities in the treatment recommendations given to the white male patient-actor and Black female patient-actor, which when translated into real clinical scenarios would result in the Black female patient being significantly more likely to receive unsafe undertreatment, rather than the guideline-recommended treatment. In the experimental control group, clinicians who were asked to independently reflect on the standardized patient videos did not show any significant reduction in bias. However, clinicians who exchanged real-time information in structured peer networks significantly improved their clinical accuracy and showed no bias in their final recommendations. The findings indicate that clinician network interventions might be used in healthcare settings to reduce significant disparities in patient treatment.

A complicated puzzle: spinsters, widows and credit in Sweden (1790–1910)

This article aims to retrace the extent of single women's engagement in the credit market. To this end, it relies on a series of more than 1,900 probate inventories drawn up between 1790 and 1910 in the two Swedish cities of Gävle and Uppsala. These two cities represent an ideal case study, because the process of industrialisation and economic development resulted in two differently structured credit markets. The research centres initially on the problem of studying women's agency from probate inventories. It analyses the main characteristics of spinsters and widows as they emerge from the sources and compares them with married women. Subsequently, the article analyses how marital status shaped women's economic lives, affecting how they participated in the credit market. For this purpose, it focuses specifically on banking and peer-to-peer exchanges (in particular, promissory notes). Spinsters favoured more conservative strategies relying more often on the services provided by banks, while widows seemed to have played an additional, and more significant, role as lenders in peer-to-peer networks. The study also confirms that unmarried women were only rarely active as borrowers.

IOT Security with Blockchain

Internet of Things (IoT) plays a very vital role in almost every field of technology. Its key elements of security are very much crucial elements which are to be maintained as it is used universally. Traditional security and privacy methods be likely to be inapplicable for IoT, mainly due to its distributed network topology and the supply-constraints of most of its devices. For creating these concepts, a new technology called blockchain can be used. Blockchain that reinforce the crypto- currency Bitcoin have been just now used to provide security and privacy in peer-to-peer networks with similar topologies to IoT. In this paper, we present basic part of IoT enabled with blockchain, their distinctive features of both the technologies, their futuristic solutions for different real-world issues, different communicational standards etc. Both the technologies have several distinctive characteristics in every field, but certain limits too exist which gives futuristic path for research.