Takamichi Saito

Bio: Takamichi Saito is an academic researcher from Meiji University. The author has contributed to research in topics: Authentication & Transport Layer Security. The author has an hindex of 11, co-authored 57 publications receiving 422 citations. Previous affiliations of Takamichi Saito include Tokyo University of Technology & University of Tokyo.

A Technical Comparison of IPSec and SSL.

Abstract: IPSec IP Security and SSL Secure Socket Layer have been the most robust and most potential tools available for securing communications over the Inter net Both IPSec and SSL have advantages and short comings Yet no paper has been found comparing the two protocols in terms of characteristic and functional ity Our objective is to present an analysis of security and performance properties for IPSec and SSL

A technical comparison of IPSec and SSL

Abstract: IPSec (IP security) and SSL (secure socket layer) have been the most robust and most potential tools available for securing communications over the Internet. Both IPSec and SSL have advantages and shortcomings. Yet no paper has been found comparing the two protocols in terms of characteristic and functionality. Our objective is to present an analysis of security and performance properties for IPSec and SSL.

Web Browser Fingerprinting Using Only Cascading Style Sheets

Abstract: Many commercial Websites employ Web browser fingerprinting to track visitors using Hypertext Transfer Protocol (HTTP) headers, JavaScript, and other methods. Although a user can disable JavaScript or utilize a prevention tool to avoid being tracked, countermeasures against Web browser fingerprinting using Cascading Style Sheets (CSS) have not been established. Therefore, in this paper, we propose a method of fingerprinting that employs only CSS and discuss the effectiveness of our method.

Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores

Abstract: Abstract The purpose of this study was to generate more concise rule extraction from the Recursive-Rule Extraction (Re-RX) algorithm by replacing the C4.5 program currently employed in Re-RX with the J48graft algorithm. Experiments were subsequently conducted to determine rules for six different two-class mixed datasets having discrete and continuous attributes and to compare the resulting accuracy, comprehensibility and conciseness. When working with the CARD1, CARD2, CARD3, German, Bene1 and Bene2 datasets, Re-RX with J48graft provided more concise rules than the original Re-RX algorithm. The use of Re-RX with J48graft resulted in 43.2%, 37% and 21% reductions in rules in the case of the German, Bene1 and Bene2 datasets compared to Re-RX. Furthermore, the Re-RX with J48graft showed 8.87% better accuracy than the Re-RX algorithm for the German dataset. These results confirm that the application of Re-RX in conjunction with J48graft has the capacity to facilitate migration from existing data systems toward new concise analytic systems and Big Data.

Privacy enhanced access control by SPKI

Abstract: In Internet and electronic commerce applications, a user may want to access servers as anonymous with an authorized certificate. In this paper, such privacy-enhanced service scheme is presented by using Simple Public Key Infrastructure (SPKI). A certificate of SPKI carries as few information on clients as possible compared to a certificate of PKIX (Public Key Infrastructure with X.509). After obtaining a certificate issued by an authorized server, a client submits the certificate to the service provider (server) in order to take services associated with the certificate. Then, the provider verifies the submitted certificate and gives permission to the client if verified. A client can delegate a certificate to a third party, so that he/she can access the server instead of the original certificate recipient. The implementation of the proposed certificate-based access control consists of authorized server, issuing agent, client. These are based on SPKI certificate issuer, certificate verifier, access control list management, and delegate mechanism. These subsystems are coded on the basis of SPKI library written in Java.

Privacy preserving association rule mining in vertically partitioned data

Abstract: A privacy preserving association rule mining algorithm was introducedThis algorithm preserved privacy of individual values by computing scalar productMeanwhile the algorithm of computing scalar product was given and the security was analyzed

Gorilla in our Midst: An online behavioral experiment builder

Abstract: Behavioral researchers are increasingly conducting their studies online, to gain access to large and diverse samples that would be difficult to get in a laboratory environment. However, there are technical access barriers to building experiments online, and web browsers can present problems for consistent timing-an important issue with reaction-time-sensitive measures. For example, to ensure accuracy and test-retest reliability in presentation and response recording, experimenters need a working knowledge of programming languages such as JavaScript. We review some of the previous and current tools for online behavioral research, as well as how well they address the issues of usability and timing. We then present the Gorilla Experiment Builder (gorilla.sc), a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues and make reliable online experimentation open and accessible to a wider range of technical abilities. To demonstrate the platform's aptitude for accessible, reliable, and scalable research, we administered a task with a range of participant groups (primary school children and adults), settings (without supervision, at home, and under supervision, in both schools and public engagement events), equipment (participant's own computer, computer supplied by the researcher), and connection types (personal internet connection, mobile phone 3G/4G). We used a simplified flanker task taken from the attentional network task (Rueda, Posner, & Rothbart, 2004). We replicated the "conflict network" effect in all these populations, demonstrating the platform's capability to run reaction-time-sensitive experiments. Unresolved limitations of running experiments online are then discussed, along with potential solutions and some future features of the platform.

A survey of learning-based techniques of email spam filtering

Abstract: Email spam is one of the major problems of the today's Internet, bringing financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is an important and popular one. In this paper we give an overview of the state of the art of machine learning applications for spam filtering, and of the ways of evaluation and comparison of different filtering methods. We also provide a brief description of other branches of anti-spam protection and discuss the use of various approaches in commercial and non-commercial anti-spam software solutions.

A Survey of Man In The Middle Attacks

Abstract: The Man-In-The-Middle (MITM) attack is one of the most well known attacks in computer security, representing one of the biggest concerns for security professionals. MITM targets the actual data that flows between endpoints, and the confidentiality and integrity of the data itself. In this paper, we extensively review the literature on MITM to analyse and categorize the scope of MITM attacks, considering both a reference model, such as the open systems interconnection (OSI) model, as well as two specific widely used network technologies, i.e., GSM and UMTS. In particular, we classify MITM attacks based on several parameters, like location of an attacker in the network, nature of a communication channel, and impersonation techniques. Based on an impersonation techniques classification, we then provide execution steps for each MITM class. We survey existing countermeasures and discuss the comparison among them. Finally, based on our analysis, we propose a categorisation of MITM prevention mechanisms, and we identify some possible directions for future research.