A Protected Single Sign-On Technique Using 2D Password in Distributed Computer Networks

Single Sign-On (SSO) is a new authentication mechanism that enables a legal user with a single credential to be authenticated by multiple service providers in a distributed computer network. Recently, a new SSO scheme providing well-organized security argument failed to meet credential privacy and soundness of authentication. The main goal of this project is to provide security using Single Sign-On scheme meeting at least three basic security requirements, i.e., unforgetability, credential privacy, and soundness. User identification is an important access control mechanism for client–server networking architectures. The concept of Single Sign-On can allow legal users to use the unitary token to access different service providers in distributed computer networks. To overcome few drawbacks like not preserving user anonymity when possible attacks occur and extensive overhead costs of time-synchronized mechanisms, we propose a secure Single Sign-On mechanism that is efficient, secure, and suitable for mobile devices in distributed computer networks. In a real-life application, the mobile user can use the mobile device, e.g., a cell phone, with the unitary token to access multiservice, such as downloading music; receive/reply electronic mails etc. Our scheme is based on one-way hash functions and random nonce to solve the weaknesses described above and to decrease the overhead of the system. The proposed scheme is more secure with two types of password scheme namely, Text password and Graphical Password referred as 2D password in distributed computer networks that yields a more efficient system that consumes lower energy. The proposed system has less communication overhead. It eliminates the need for time synchronization and there is no need of holding multiple passwords for different services

Improving RSSI based distance estimation for wireless sensor networks

In modern everyday life we see gradually increasing number of wireless sensor devices. In some cases it is necessary to know the accurate location of the devices. Most of the usual techniques developed to get this information require a lot of resources (power, bandwidth, computation, extra hardware) which small embedded devices cannot afford. Therefore techniques, using small resources without the need for extra hardware, need to be developed. Wireless sensor networks are often used inside buildings. In such environment satellite positioning is not available. As a consequence, the location computation must be done in network-based manner. In this thesis a received signal strength indicator (RSSI) based distance estimation technique for 802.15.4 network based on CC2431 radio is discussed. In this approach we try to differentiate between good and erroneous measurements by imposing limits based on standard deviation of RSSI and the number of lost packets. These limits are included as a part of the model parameter estimation process. These limits are optimized in order to improve the resulting distance estimates with minimum loss of connectivity information. We experimentally evaluated the merits of the proposed method and found it to be useful under certain circumstances.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

A study of the relationship between radio frequency identification (RFID) technology and lean manufacturing

The primary purpose of this research effort is to investigate the relationship between Radio Frequency Identification (RFID) technology and reducing waste in a manufacturing setting where a lean manufacturing system has been implemented. This research identifies implementation areas where RFID can have the greatest impact on work-in-progress management, inventory management, manufacturing assets tracking and maintenance, and manufacturing control in lean manufacturing environments. The study specifically focuses on how RFID can help identify, reduce, and eliminate the seven common types of waste identified by Taiichi Ohno in the Toyota Production System. These seven include overproduction, waiting time, inefficient transportation, inappropriate processing, unnecessary inventory, unnecessary motion, and rejects & defects. The study expands the knowledge of manufacturing waste reduction through the use of RFID technology. Through the use of a forty-question survey, this research involved the collection, review, analysis, and classification of the perceptions of participants across six U.S. manufacturing industries regarding where RFID can have the greatest impact on lean manufacturing. Data collection involved a structured survey administered to 1900+ members of the Society of Manufacturing Engineers (SME). Based on the perceptions of the respondents, RFID technology can be used in several areas/functions/locations within manufacturing that helps to identify and reduce the seven types of manufacturing waste and that RFID technology may improve work-in-progress management, inventory management, and manufacturing control. The study concluded that the reduction of manufacturing waste can be achieved through the deployment of RFID technology in 23 of 35 potential applications. This study fulfills an identified need to study the implementation areas where RFID can have the greatest impact and add value within lean manufacturing settings. The research includes implications for industry practitioners, RFID suppliers, researchers and scholars by providing a better understanding of the benefits of RFID in manufacturing