Matrix Factorization Techniques for Recommender Systems

This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

A systematic literature review of blockchain-based applications: Current status, classification and open issues

The sharp increase in the number of smartphones on the market, with the Android platform posed to becoming a market leader makes the need for malware analysis on this platform an urgent issue.In this paper we capitalize on earlier approaches for dynamic analysis of application behavior as a means for detecting malware in the Android platform. The detector is embedded in a overall framework for collection of traces from an unlimited number of real users based on crowdsourcing. Our framework has been demonstrated by analyzing the data collected in the central server using two types of data sets: those from artificial malware created for test purposes, and those from real malware found in the wild. The method is shown to be an effective means of isolating the malware and alerting the users of a downloaded malware. This shows the potential for avoiding the spreading of a detected malware to a larger community.

/pdf/crowdroid-behavior-based-malware-detection-system-for-x2tq6w9qk1.pdf

Crowdroid: behavior-based malware detection system for Android

我的台灣, 看見心靈的故鄉 =2009林磐聳藝術與設計展

Privacy-friendly platform for healthcare data in cloud based on blockchain environment

Healthcare data are grabbing the interest of cyber attackers in recent years. Annihilating consequences of healthcare data could be alleviated through decentralization. A peer to peer (P2P) network enables the property of decentralization, where different parties can store and run computation while keeping the sensitive health data private. Blockchain technology leverages decentralized or distributed process, which ensures the accountability and integrity of its use. This paper presents a patient centric healthcare data management system by using Blockchain as storage to attain privacy. Pseudonymity is ensured by using the cryptographic functions to protect patient’s data.

MediBchain: A Blockchain Based Privacy Preserving Platform for Healthcare Data

In Shamir's (k,n)-threshold secret sharing scheme (threshold scheme), a heavy computational cost is required to make nshares and recover the secret. As a solution to this problem, several fast threshold schemes have been proposed. This paper proposes a new (k,n)-threshold scheme. For the purpose to realize high performance, the proposed scheme uses just EXCLUSIVE-OR(XOR) operations to make shares and recover the secret. We prove that the proposed scheme is a perfectsecret sharing scheme, every combination of kor more participants can recover the secret, but every group of less than kparticipants cannot obtain any information about the secret. Moreover, we show that the proposed scheme is an idealsecret sharing scheme similar to Shamir's scheme, which is a perfectscheme such that every bit-size of shares equals that of the secret. We also evaluate the efficiency of the scheme, and show that our scheme realizes operations that are much faster than Shamir's. Furthermore, from the aspect of both computational cost and storage usage, we also introduce how to extend the proposed scheme to a new (k,L,n)-threshold rampscheme similar to the existing rampscheme based on Shamir's scheme.

/pdf/a-new-k-n-threshold-secret-sharing-scheme-and-its-extension-pd15wldek8.pdf

A New (k,n)-Threshold Secret Sharing Scheme and Its Extension

Nowadays Internet services have dramatically changed the way people interact with each other and many of our daily activities are supported by those services. Statistical indicators show that more than half of the world's population uses the Internet generating about 2.5 quintillion bytes of data on daily basis. While such a huge amount of data is useful in a number of fields, such as in medical and transportation systems, it also poses unprecedented threats for user's privacy. This is aggravated by the excessive data collection and user profiling activities of service providers. Yet, regulation require service providers to inform users about their data collection and processing practices. The de facto way of informing users about these practices is through the use of privacy policies. Unfortunately, privacy policies suffer from bad readability and other complexities which make them unusable for the intended purpose. To address this issue, we introduce PrivacyGuide, a privacy policy summarization tool inspired by the European Union (EU) General Data Protection Regulation (GDPR) and based on machine learning and natural language processing techniques. Our results show that PrivacyGuide is able to classify privacy policy content into eleven privacy aspects with a weighted average accuracy of 74% and further shed light on the associated risk level with an accuracy of 90%.

PrivacyGuide: Towards an Implementation of the EU GDPR on Internet Privacy Policy Evaluation

This paper proposes a formal model of the Android permission scheme. We describe the scheme specifying entities and relationships, and provide a state-based model which includes the behavior specification of permission authorization and the interactions between application components. We also show how we can logically confirm the security of the specified system. Utilizing a theorem prover, we can verify security with given security requirements based on mechanically checked proofs. The proposed model can be used as a reference model when the scheme is implemented in a different embedded platform, or when we extend the current scheme with additional constraints or elements. We demonstrate the use of the verifiable specification through finding a security vulnerability in the Android system. To our knowledge, this is the first formalization of the permission scheme enforced by the Android framework.

Shinsaku Kiyomoto

Papers

Privacy-friendly platform for healthcare data in cloud based on blockchain environment

MediBchain: A Blockchain Based Privacy Preserving Platform for Healthcare Data

A New (k,n)-Threshold Secret Sharing Scheme and Its Extension

PrivacyGuide: Towards an Implementation of the EU GDPR on Internet Privacy Policy Evaluation

A Formal Model to Analyze the Permission Authorization and Enforcement in the Android Framework