ISG

Tele-healthcare could largely reduce national healthcare cost through remote self-managed patient monitoring. Cardiac Sensor Networks (CSNs) could be used to deploy such a system. Moreover, the integration of RFID into CSN could play an important role for elder healthcare because RFID could be used to monitor elders' medicine taking behaviors. On the other hand, the disclosure of RFID information during RFID tag-to-reader communications can cause the violation of patients' privacy. This research aims to achieve trustworthiness in a practical RFID-assisted CSN platform.

The last decade has witnessed an amazing growth in wireless communications and networking applications. More and more subscribers are relying solely on their wireless communication and computing devices for communicating sensitive information. Preserving the security of wirelessly transmitted information is becoming ever more challenging, yet essential.

Policy-based access control is one of the most fundamental and widely used mechanisms for achieving privacy and security at both application and network levels. Given the high importance and delicacy of security policies, ensuring the correctness of these policies is important, and yet difficult. A tiny error in security policies could lead to irreparable, if not tragic, consequences. Therefore, identifying discrepancies between policy specifications and their intended function is a crucial task.

Anyone with a moderate amount of skill can intercept Internet mail messages and private web pages to see what they say; can modify messages in transit, changing their content without any trace; and can send fake messages that are indistinguishable from legitimate messages. Cryptography responds to these threats by scrambling and unscrambling packets to protect against forgery and against espionage. An attacker who forges a message can't scramble it in the right way; when legitimate users' computers unscramble the message, they see that it's a forgery and that it should be thrown away.

Network intrusion prevention systems (IPSes) play an important role in protecting computers against attacks originating from thenetwork. Signature matching is a performance-critical operation that each IPS must perform: after storing a reassembled TCP-level byte stream or a field of a higher level protocol in a buffer, the IPS needs to decide whether it matches any of the signatures that describe known attacks. This project investigates methods for representingsignatures that allow fast matching, require little memory, and can support complex signatures expressed as regular expressions.