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Explore the challenges and strategies for tackling defensive and offensive code problems, legacy code issues, and virtualizability problems in software engineering. Discover proposed goals for Secure Execution Subsets (SES) in a clear and concise manner.
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When Two Languages Are Simpler Than One Lessons for SES from Cajita, Original-Caja, and Valija Mark S. Miller
Simultaneous Problems D = Defensive code problemO = Offensive code problemT = Legacy tools problemC = Legacy code problem
Simultaneous Solution? D = Defensive code problemO = Offensive code problemT = Legacy tools problemC = Legacy code problem
Don’t try this at home (or at all) D = Defensive code problemO = Offensive code problemT = Legacy tools problemC = Legacy code problem
Separate Solutions D = Defensive code problemO = Offensive code problemT = Legacy tools problemC = Legacy code problem
Layered Solutions D = Defensive code problemO = Offensive code problemT = Legacy tools problemC = Legacy code problemV = Virtualizability problem
Lessons for SES D = Defensive code problemO = Offensive code problemT = Legacy tools problemC = Legacy code problemV = Virtualizability problem
Proposed SES Goals • SES is smallest secure subset of ~Harmony-strict without loss of functionality. • SES is a good target for a multiply instantiable embedding of ~Harmony-strict.