1 / 27

Internet Security CSCE 813 Communicating Sequential Processes

Internet Security CSCE 813 Communicating Sequential Processes. Project. Related Work Need to know by now: What is the problem domain? What is the specific problem you’re addressing? What solutions are out there (if there is any)? What are the limitations of these solutions?

fraley
Download Presentation

Internet Security CSCE 813 Communicating Sequential Processes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Internet Security CSCE 813Communicating Sequential Processes

  2. Project • Related Work • Need to know by now: • What is the problem domain? • What is the specific problem you’re addressing? • What solutions are out there (if there is any)? • What are the limitations of these solutions? • How your proposed approach overcome some of these limitations? CSCE 813 - Farkas

  3. Related Work • Format: • Problem Overview • Related work 2.1 Research on problem domain 2.2 Research on specific problem 2.3 Limitation of existing research References CSCE 813 - Farkas

  4. Related Work • Organize existing work into categories, e.g., on what specific problem they solve, what is the nature of the proposed solution, etc. • Don’t just list the different papers in a sequential order! • Briefly explain what problems they address and what the main contributions are. • Be critical! CSCE 813 - Farkas

  5. References • Be precise! • Use full references, with authors, title, where it was published, when, and the page numbers • If you supply URLs, list when the URL was downloaded • Organize references in alphabetical order • Use one of the accepted bibliography format • See http://www.asij.ac.jp/middle/lib/BibliographyFormat/Bibliography%20Format.htm for more formatting on references CSCE 813 - Farkas

  6. Back to CSP

  7. Reading • Today: • Modelling and analysis of security protocols: Chapter 1 • Next Class: • Modelling and analysis of security protocols: Chapter 1 and 2 CSCE 813 - Farkas

  8. CSP Objectives • Model dynamics • Model and analyze concurrency • E.g., calculation intensive systems, distributed applications • Support parallelism CSCE 813 - Farkas

  9. Prefix • Offering a single action • Offering of choice: any set of visible actions • If A  , ?x : A → P(x) represent all the actions in A • x is the parameter of P -- parameters can beused in events or manipulated • When a  A is chosen, it behaves like P(a) CSCE 813 - Farkas

  10. Choice Operator • Choice operator:  • Gives the option between the actions of two processes then • Behaves like the one chosen • Revisit: if A = B  C then ?x : A → P(x) = (?x : B → P(x))  (?x : C → Q(x) ) • If B and C are disjoint: together they give all the choices in A • What happens if B and C overlap? CSCE 813 - Farkas

  11. Non-Deterministic Choice • P Q • behaves like P or like Q • User has no control over which • Can be implemented using two internal actions • Implementer is not required to implement this way (can choose either P or Q or (P or Q)) • Useful for model degree of unpredictability, like communication medium that transmits data correctly or loose it. CSCE 813 - Farkas

  12. Time-Based Choice • P t Q • Chose choices offered by P for t time units and • If nothing is chosen, it behaves like Q • Similar traces than other choice if no time is recorded • Can be P  Q where t is non-deterministic CSCE 813 - Farkas

  13. Conditional Choice • If-then-else • Choice is based on condition • if b then P else Q • Example: FW(s) = in?x → (if valid(x,s) then out!x → FW(newstate(s,x)) else FW(newstate(s,x)) ) • Revisit non-deterministic machine: NDM = in?x → (NDM  out!x → NDM) CSCE 813 - Farkas

  14. Parallel Operators • Put sequential processes parallel • System state: state of each component • Number of possible states increases exponentially with the size of the network • How to put processes together for parallel network? • How to check whether such a network satisfies a specification? CSCE 813 - Farkas

  15. Parallel Combination • Just an other process to which any of the previous operators can be applied. • Each parallel process is equivalent to a sequential one (with infeasibly large number of states) • CSP processes influence each other by affecting what communications they can perform. CSCE 813 - Farkas

  16. Parallel Combination • Synchronize all visible actions • P || Q can perform a   only when P and Q can • (?x : A → P(x)) || (?x : B → Q(x)) = ?x : A B→ (P(x) || Q(x)) CSCE 813 - Farkas

  17. Parallel Combinations • Interfaces parallel operator: P ||X Q • Synchronize all events in X • Example: • P = ?x : A → P’(x) • Q = ?x : B → Q’(x) • P ||X Q = ?x : X  A  B → (P’(x) || Q’(x))  ?x : A \ X → (P’(x) ||X Q)  ?x : B \ X → (P||X Q’(x)) CSCE 813 - Farkas

  18. General Interleaving • P ||| Q when P ||Ø Q • P and Q use disjoint sets of events CSCE 813 - Farkas

  19. Alphabet Controlled • P X ||Y Q • Each process is given control of a particular set of events • No process is ever permitted to communicate outside of its own alphabet • Interface between two processes: intersection of their alphabet CSCE 813 - Farkas

  20. Use of Parallel Operators • Achieve a particular overall behavior • For example, build constraints on traces • P ||X Q, where P is any process, and all Q’s processes belong to X => P is only allowed to do things in X that Q permits. • E.g., example on page 54 CSCE 813 - Farkas

  21. Hiding and Renaming • Hiding: • Internal details are not visible to outsiders • If X in  and P is a process than P \ X behaves like P but all events in X are hidden (turned into invisible actions) • Renaming: • Alphabet replacement (relation) • P[[R]] behaves like P but all visible events a from P are renamed by whatever R associates a with • Use to make copies • e.g., P[[a,a/b,c]] – both b and c are mapped to a • e.g., P[[b,c/a,a]] – both a is mapped to b and c (offers the choice of b and c to the environment but the state after either of these choices is the same CSCE 813 - Farkas

  22. Additional operators • Sequential composition P ; Q • Does whatever P does until terminates and then does what Q does • Process Skip : successful termination • Special event:  -- always the final event • e.g., a → b → Skip, terminates successfully after events a and b • e.g., (a → Skip) ; P same external behavior as a → P CSCE 813 - Farkas

  23. CSP Operators • Stop process does nothing • a → P event prefix • ?x:A → P event prefix choice • P  Q choice between two processes • P  Q nondeterministic choice • P || Q lockstep parallel • P ||X Q interface parallel • P X ||Y Q synchronizing parallel CSCE 813 - Farkas

  24. CSP Operators • P \ X event hiding • P[[R]]process relationrenaming • Skipsuccessful termination • P ; Q sequential composition CSCE 813 - Farkas

  25. Process Behavior • Concurrent processes may lead to: • Deadlock: each process is willing to do something but the entire system cannot agree on any action • Livelock: infinite sequence of internal (hidden) communication occur between the components. Similar external appearance to deadlock • Non-determinism: both processes P1 and p2 are willing to talk to a third one Q which has to make a choice. CSCE 813 - Farkas

  26. Traces • Sequences of visible events until an arbitrary finite time • E.g., • traces(Stop) = { < > } • traces(a → P  b → Skip) = { <a > n, <a > n^ <b >, <a > n^ <b, > n in N } • Traces model • Nonempty • Prefix closed (if s^t is in trace, so is s) • We can calculate traces(P) for any CSP P CSCE 813 - Farkas

  27. Next Class: Modeling security protocols in CSP CSCE 813 - Farkas

More Related