IP Library Granted Patent US 9,008,303
Granted Patent B1
US 9,008,303 · App. 13/334,709 · Granted Apr 14, 2015

Method and apparatus for generating forward secure pseudorandom numbers

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Quick Facts
Patent No.
US 9,008,303
App. No.
13/334,709
Granted
Apr 14, 2015
Kind
B1
Abstract

Methods and apparatus are provided for generation of forward secure pseudorandom numbers. A forward secure pseudorandom number is generated by obtaining a first state s i corresponding to a current leaf node v i in a hierarchical tree, wherein the current leaf v i produces a first pseudorandom number r i−t and wherein the hierarchical tree comprises at least one chain comprised of a plurality of nodes on a given level of the hierarchical tree; updating the first state s i to a second state s i+t corresponding to a second leaf node v i+t ; and computing a second pseudorandom number r i+t−1 corresponding to the second leaf node v i+t . The variable t may be an integer greater than one. Updating the state does not require generation of all pseudorandom numbers produced by leaf nodes between the current leaf node v i and the second leaf node v i+t .

Claims (54)

1. A method for generating a forward secure pseudorandom number, comprising:

obtaining a first state s i corresponding to a current leaf node v i in a hierarchical tree, wherein said first state s i comprises a sequence of one or more seeds in said hierarchical tree, wherein said first state s i is stored in a memory of a hardware device as at least one data structure, wherein said at least one data structure comprises each of said one or more seeds of said first state s i and corresponding position information identifying a position of said corresponding seed in said hierarchical tree, wherein said current leaf v i produces a first pseudorandom number r i+1 , wherein said hierarchical tree comprises at least one chain comprised of a plurality of nodes on a given level of said hierarchical tree;

updating said first state s i to a second state s i+t corresponding to a second leaf node v i+t , by processing said one or more seeds in said at least one data structure in a predefined order based on said corresponding position information to traverse a portion of the hierarchical tree to the second state s i+t ; and

computing a second pseudorandom number r i+t−1 corresponding to said second leaf node v i+t .

2. The method of claim 1 , wherein t is an integer greater than one.

3. The method of claim 1 , wherein said updating step does not require generation of all pseudorandom numbers produced by leaf nodes between said current leaf node v i and said second leaf node v i+t .

4. The method of claim 1 , wherein said hierarchical tree comprises at least one node having a degree greater than two.

5. The method of claim 1 , wherein said first pseudorandom number is a most recent pseudorandom number.

6. The method of claim 1 , wherein said second leaf node is a current leaf node.

7. The method of claim 1 , wherein said updating step further comprises the step of determining a path p v i in said tree that connects said first state v i to a root r of the hierarchical tree.

8. The method of claim 1 , wherein said second leaf node v i+t is t positions from said first leaf node v i .

9. The method of claim 1 , wherein said updating step further comprises the step of identifying a seed that can produce a target seed at said second leaf v i+t .

10. The method of claim 9 , further comprising the step of adding a node closer to a tail node of a chain at a given level of said hierarchical tree to said first state s i , wherein said chain includes a node in a path p v i in said hierarchical tree that connects said first state v i to a root r.

11. The method of claim 9 , further comprising the step of adding a sibling node of a head node at a given level of said hierarchical tree to said first state s i if said head node is on a path p v i in said hierarchical tree that connects said first state v i to a root r and said sibling node has a higher order than said head node.

12. The method of claim 9 , wherein said identifying step further comprises the step of deleting one or more seeds that are part of said first state s i that do not produce said second leaf node v i+t .

13. The method of claim 9 , wherein said identifying step further comprises the step of expanding one or more seeds that are part of said first state s i that derive leaf-node seeds that contain a target seed.

14. The method of claim 13 , further comprising the step of adding one or more of at least one child node and at least one chain node.

15. The method of claim 1 , wherein said current leaf v i produces a first pseudorandom number r i−1 by applying a one-way hash function.

16. The method of claim 1 , wherein said second state s i+t is generated from said first state s i by adding and deleting nodes in said hierarchical tree.

17. The method of claim 1 , wherein said computing step further comprises the step of applying a one-way hash function to said second leaf node v i+t to obtain said second pseudorandom number r i+t−1 .

18. The method of claim 1 , wherein said hierarchical tree is defined as a function of one or more parameters that control depth, expansion branching and chain sizes.

19. The method of claim 1 , wherein said first leaf node v i is a leaf node corresponding to a most recently produced pseudorandom number r i−1 .

20. The method of claim 1 , wherein said computed second pseudorandom number r i+t−1 is one or more of event-driven and time-driven key updates.

21. The method of claim 20 , wherein said computed second pseudorandom number r i+t−1 is a time-driven key update and wherein each level of said hierarchical tree corresponds to a basic unit of time and wherein longer-period time units are associated with higher levels of said hierarchical tree.

22. The method of claim 1 , wherein the computing step further comprises the step of computing first and second sets of pseudorandom numbers using corresponding first and second hierarchical trees and wherein at least one computed pseudorandom number is a combination of at least one pseudorandom number from said first set and at least one pseudorandom number from said second set.

23. The method of claim 1 , further comprising the step of traversing a one-way chain in one step in one or more of a forward direction and a backward direction using trapdoor information.

24. An apparatus for generating a forward secure pseudorandom number, the apparatus comprising:

a memory; and

at least one hardware device, coupled to the memory, operative to implement the following steps:

obtaining a first state s i corresponding to a current leaf node v i in a hierarchical tree, wherein said first state s i comprises a sequence of one or more seeds in said hierarchical tree, wherein said first state s i is stored in the memory of the at least one hardware device as at least one data structure, wherein said at least one data structure comprises each of said one or more seeds of said first state s i and corresponding position information identifying a position of said corresponding seed in said hierarchical tree, wherein said current leaf v i produces a first pseudorandom number r i−1 , wherein said hierarchical tree comprises at least one chain comprised of a plurality of nodes on a given level of said hierarchical tree;

updating said first state s i to a second state s i+t corresponding to a second leaf node v i+t , by processing said one or more seeds in said at least one data structure in a predefined order based on said corresponding position information to traverse a portion of the hierarchical tree to the second state s i+t ; and

computing a second pseudorandom number r i+t−1 corresponding to said second leaf node v i+t .

25. The apparatus of claim 24 , wherein t is an integer greater than one.

26. The apparatus of claim 24 , wherein said updating does not require generation of all pseudorandom numbers produced by leaf nodes between said current leaf node v i and said second leaf node v i+t .

27. The apparatus of claim 24 , wherein said hierarchical tree comprises at least one node having a degree greater than two.

28. The apparatus of claim 24 , wherein said first pseudorandom number is a most recent pseudorandom number.

29. The apparatus of claim 24 , wherein said second leaf node is a current leaf node.

30. The apparatus of claim 24 , wherein said updating further comprises determining a path p v i in said tree that connects said first state v i to a root r of the hierarchical tree.

31. The apparatus of claim 24 , wherein said second leaf node v i+t is t positions from said first leaf node v i .

32. The apparatus of claim 24 , wherein said updating further comprises identifying a seed that can produce a target seed at said second leaf v i+t .

33. The apparatus of claim 32 , wherein said at least one hardware device is further configured to add a node closer to a tail node of a chain at a given level of said hierarchical tree to said first state s i , wherein said chain includes a node in a path p v i in said hierarchical tree that connects said first state v i to a root r.

34. The apparatus of claim 32 , wherein said at least one hardware device is further configured to add a sibling node of a head node at a given level of said hierarchical tree to said first state s i if said head node is on a path p v i in said hierarchical tree that connects said first state v i to a root r and said sibling node has a higher order than said head node.

35. The apparatus of claim 32 , wherein said identifying further comprises deleting one or more seeds that are part of said first state s i that do not produce said second leaf node v i+t .

36. The apparatus of claim 32 , wherein said identifying further comprises expanding one or more seeds that are part of said first state s i that derive leaf-node seeds that contain a target seed.

37. The apparatus of claim 36 , wherein said at least one hardware device is further configured to add one or more of at least one child node and at least one chain node.

38. The apparatus of claim 24 , wherein said second state s i+t is generated from said first state s i by adding and deleting nodes in said hierarchical tree.

39. The apparatus of claim 24 , wherein said current leaf v i produces a first pseudorandom number r i−1 by applying a one-way hash function.

40. The apparatus of claim 24 , wherein said computing further comprises applying a one-way hash function to said second leaf node v i+t to obtain said second pseudorandom number r i+t−1 .

41. The apparatus of claim 24 , wherein said hierarchical tree is defined as a function of one or more parameters that control depth, expansion branching and chain sizes.

42. The apparatus of claim 24 , wherein said first leaf node v i is a leaf node corresponding to a most recently produced pseudorandom number r i−1 .

43. The apparatus of claim 24 , wherein said computed second pseudorandom number r i+t−1 is one or more of event-driven and time-driven key updates.

44. The apparatus of claim 43 , wherein said computed second pseudorandom number r i+t−1 is a time-driven key update and wherein each level of said hierarchical tree corresponds to a basic unit of time and wherein longer-period time units are associated with higher levels of said hierarchical tree.

45. The apparatus of claim 24 , wherein the computing further comprises computing first and second sets of pseudorandom numbers using corresponding first and second hierarchical trees and wherein at least one computed pseudorandom number is a combination of at least one pseudorandom number from said first set and at least one pseudorandom number from said second set.

46. The apparatus of claim 24 , wherein said at least one hardware device is further configured to traverse a one-way chain in one step in one or more of a forward direction and a backward direction using trapdoor information.

Assignments (8)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (045455/0001) Recorded May 20, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061753/0001 →
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (040136/0001) Recorded Apr 26, 2022
From: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
To: DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO ASAP SOFTWARE EXPRESS, INC.); DELL MARKETING L.P. (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO CREDANT TECHNOLOGIES, INC.); DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL PRODUCTS L.P.; DELL MARKETING CORPORATION (SUCCESSOR-IN-INTEREST TO FORCE10 NETWORKS, INC. AND WYSE TECHNOLOGY L.L.C.); EMC CORPORATION (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MAGINATICS LLC); EMC IP HOLDING COMPANY LLC (ON BEHALF OF ITSELF AND AS SUCCESSOR-IN-INTEREST TO MOZY, INC.); SCALEIO LLC
Reel/Frame 061324/0001 →
RELEASE OF SECURITY INTEREST Recorded Nov 3, 2021
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: DELL USA L.P.; ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL INTERNATIONAL, L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; WYSE TECHNOLOGY L.L.C.
Reel/Frame 058216/0001 →
SECURITY AGREEMENT Recorded Mar 21, 2019
From: CREDANT TECHNOLOGIES, INC.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL USA L.P.; EMC CORPORATION; FORCE10 NETWORKS, INC.; WYSE TECHNOLOGY L.L.C.; EMC IP HOLDING COMPANY LLC
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A.
Reel/Frame 049452/0223 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 29, 2016
From: EMC CORPORATION
To: EMC IP HOLDING COMPANY LLC
Reel/Frame 040203/0001 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: THE BANK OF NEW YORK MELLON TRUST COMPANY, N.A., AS NOTES COLLATERAL AGENT
Reel/Frame 040136/0001 →
SECURITY AGREEMENT Recorded Sep 21, 2016
From: ASAP SOFTWARE EXPRESS, INC.; AVENTAIL LLC; CREDANT TECHNOLOGIES, INC.; DELL USA L.P.; DELL INTERNATIONAL L.L.C.; DELL MARKETING L.P.; DELL PRODUCTS L.P.; DELL SOFTWARE INC.; DELL SYSTEMS CORPORATION; EMC CORPORATION; EMC IP HOLDING COMPANY LLC; FORCE10 NETWORKS, INC.; MAGINATICS LLC; MOZY, INC.; SCALEIO LLC; SPANNING CLOUD APPS LLC; WYSE TECHNOLOGY L.L.C.
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH, AS COLLATERAL AGENT
Reel/Frame 040134/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 3, 2012
From: JUELS, ARI; TRIANDOPOULOS, NIKOLAOS; BOWERS, KEVIN
To: EMC CORPORATION
Reel/Frame 027979/0365 →