Security in Network Coding (Wireless Networks) by Peng Zhang, Chuang Lin

By Peng Zhang, Chuang Lin

This ebook covers a chain of defense and privateness concerns in community coding, and introduces 3 concrete mechanisms to handle them. those mechanisms leverage conventional cryptographic primitives and nameless protocols, and are redesigned to slot into the recent framework of community coding. those 3 mechanisms are MacSig, a brand new message authentication procedure for network-coded platforms; P-Coding, a brand new encryption scheme to safe network-coding-based transmissions; and ANOC, a brand new nameless routing protocol that seamlessly integrates nameless routing with community coding. 
Along with those 3 mechanisms, the authors offer a assessment of community coding's merits, purposes, and safety difficulties. additionally incorporated is a close review of protection concerns within the box, with a proof of ways the safety matters vary from these in conventional settings. whereas community coding may also help enhance community functionality, the adoption of community coding may be vastly constrained except protection and privateness threats are addressed. 
Designed for researchers and execs, protection in community Coding explores significant demanding situations in community coding and gives useful options. Advanced-level scholars learning networking or method protection also will locate the content material valuable.

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Security in Network Coding (Wireless Networks)

This ebook covers a sequence of defense and privateness matters in community coding, and introduces 3 concrete mechanisms to handle them. those mechanisms leverage conventional cryptographic primitives and nameless protocols, and are redesigned to slot into the recent framework of community coding. those 3 mechanisms are MacSig, a brand new message authentication strategy for network-coded structures; P-Coding, a brand new encryption scheme to safe network-coding-based transmissions; and ANOC, a brand new nameless routing protocol that seamlessly integrates nameless routing with community coding.

Extra info for Security in Network Coding (Wireless Networks)

Example text

0; k/ is the number of all k h matrices satisfying Condition (2). i C 1/th row to be linearly dependent on the first i rows. 0; k/ iD1 Ni . 1 hqi h C hqi h 1 / iD1 The theorem is thus proven. 1) and that of Bhattad’s [2] in Fig. 4. 0; k/ calculated by Eq. 9). From Fig. 4, we can see that if the size of finite field is sufficiently large, the probability of weak security can be made arbitrarily high. Moreover, our approximate result is closer to the accurate one, compared to the result given by Bhattad’s.

I;1 ; : : : ; i;NC1 / • MAC. Given x 2 i D 1; : : : ; r. x; t1 ; : : : ; tr /. FNq Fq for each i D 1; : : : ; r. Output K D . 1 ; : : : ; r /. P FNq and K, calculate a tag ti D . NjD1 i;j xj /= i;NC1 for each 30 3 Subspace Authentication for Random Linear Network Coding • Combine. Given xN 1 ; : : : ; xN l , where xN i 2 FNCr , and ˛1 ; : : : ; ˛l , where ˛i 2 Fq , q Pl output xN D iD1 ˛i xN i . P and K 0 K, calculate i D NjD1 i;j xN j C i;NC1 xN NCi , for • Verify. Given xN 2 FNCr q each i 2 K 0 .

0; k/ calculated by Eq. 9). From Fig. 4, we can see that if the size of finite field is sufficiently large, the probability of weak security can be made arbitrarily high. Moreover, our approximate result is closer to the accurate one, compared to the result given by Bhattad’s. 2 0 50 100 150 Field Size 200 250 Fig. 4 The relationship between security probability and finite field size. (a) h D 7; k D 4, (b) h D 7; k D 5, (c) h D 7; k D 6 Next we consider a more general case where a smart adversary can accurately guess some linear combinations of source messages.

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