意义：量子计算机的潜能远远超过传统计算机。我们今天使用的计算机组件用大量“0”和“I”的组合来表征数据，但每子计算机的每一个数字位可同时呈现两种状态，即“叠加”现象。加州l大学圣巴巴拉分校（University of California，Sant...意义：量子计算机的潜能远远超过传统计算机。我们今天使用的计算机组件用大量“0”和“I”的组合来表征数据，但每子计算机的每一个数字位可同时呈现两种状态，即“叠加”现象。加州l大学圣巴巴拉分校（University of California，Santa Barbara，UCSB）的马泰奥·马里安东尼及同事们首次将计算机处理器与具有冯·诺依曼体系结构的存储器元件结合起来。展开更多
With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the comput...With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the computer specialists know what is stored in the given computer. Binary-based information flow tracking which concerns the changes of control flow is an effective way to analyze the behavior of a program. The existing systems ignore the modifications of the data flow, which may be also a malicious behavior. Thus the function recognition is introduced to improve the information flow tracking. Function recognition is a helpful technique recognizing the function body from the software binary to analyze the binary code. And that no false positive and no false negative in our experiments strongly proves that our approach is effective.展开更多
文摘意义：量子计算机的潜能远远超过传统计算机。我们今天使用的计算机组件用大量“0”和“I”的组合来表征数据，但每子计算机的每一个数字位可同时呈现两种状态，即“叠加”现象。加州l大学圣巴巴拉分校（University of California，Santa Barbara，UCSB）的马泰奥·马里安东尼及同事们首次将计算机处理器与具有冯·诺依曼体系结构的存储器元件结合起来。
基金This work is supported by National Natural Science Foundation of China （Grant No.60773093, 60873209, and 60970107）, the Key Program for Basic Research of Shanghai （Grant No. 09JC1407900, 09510701600, 10511500100）, IBM SUR Funding and IBM Research-China JP Funding, and Key Lab of Information Network Security, Ministry of Public Security.
文摘With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the computer specialists know what is stored in the given computer. Binary-based information flow tracking which concerns the changes of control flow is an effective way to analyze the behavior of a program. The existing systems ignore the modifications of the data flow, which may be also a malicious behavior. Thus the function recognition is introduced to improve the information flow tracking. Function recognition is a helpful technique recognizing the function body from the software binary to analyze the binary code. And that no false positive and no false negative in our experiments strongly proves that our approach is effective.
