Cisco Technology, Inc.

Xiangrong Wang

Jun Xu

Chen Li

Manikam Muthiah

Frank C Lin

Christopher H Pham

Hang Shi

Srinivas Goli

Chandra Sekhar Putha

Methods and apparatus for preventing spam e-mail messages from being propagated or transmitted by monitoring user interaction events associated with the system are disclosed. According to one aspect of the present invention, a method for processing a first e-mail message on a system that transmits e-mail message and has an input device includes identifying an attempt to transmit the first e-mail message; and determining whether a user interaction event has occurred within a given time interval. If it is determined that a user interaction event has not occurred within the given time interval, the first e-mail message is prevented from being transmitted.

Method and apparatus for preventing outgoing spam e-mails by monitoring client interactions

Systems, methods, apparatus and software can be implemented to detect possible instances of memory corruption. By analyzing memory blocks stored in a memory, provided in a snapshot file, or provided in a core dump, implicit and/or explicit contingency chains can be obtained. Analysis of these contingency chains identifies potential memory corruption sites, and subsequent verification provides greater confidence in the identification.

Memory corruption detection system and method using contingency analysis regulation

Systems, methods, apparatus and software can be implemented to detect memory leaks with relatively high confidence. By analyzing memory blocks stored in a memory, implicit and/or explicit contingency chains can be obtained. Analysis of these contingency chains identifies potential memory leaks, and subsequent successive verification confirms whether the potential memory leaks are memory leaks.

Method and system for memory leak detection

Systems, methods, apparatus and software can be implemented to detect memory leaks with relatively high confidence. By analyzing memory blocks stored in a memory, implicit and/or explicit contingency chains can be obtained. Analysis of these contingency chains identifies potential memory leaks, and subsequent verification confirms whether the potential memory leaks are memory leaks.

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Milpitas, CA, United States of America

Xiangrong Wang