In this paper, we introduce a distributed key generation (DKG) protocol with aggregatable and publicly-verifiable transcripts. Compared with prior publicly-verifiable approaches, our DKG reduces the size of the final transcript and the time to verify it from $O(n^2)$ to $O(n log(n))$, where $n$ denotes the number of parties. As compared with prior non-publicly-verifiable approaches, our DKG leverages gossip rather than all-to-all communication to reduce verification and communication complexity. We also revisit existing DKG security definitions, which are quite strong, and propose new and natural relaxations. As a result, we can prove the security of our aggregatable DKG as well as that of several existing DKGs, including the popular Pedersen variant. We show that, under these new definitions, these existing DKGs can be used to yield secure threshold variants of popular cryptosystems such as El-Gamal encryption and BLS signatures. We also prove that our DKG can be securely combined with a new efficient verifiable unpredictable function (VUF), whose security we prove in the random oracle model. % Finally, we experimentally evaluate our DKG and show that the per-party overheads scale linearly and are practical. For $64$ parties, it takes $71$ms to share and $359$ms to verify the overall transcript, while for $8192$ parties, it takes $8$s and $42.2$s respectively.

This study presents a method to perform low-latency modular multiplication operation based on both Montgomery and Ozturk methods. The design space exploration of the proposed method on a latest FPGA device is also given. Through series of experiments on the FPGA using an high-level synthesis tool, optimal parameter selection of the proposed method for the low-latency constraint is also presented for the proposed technique.

Applying access structure to encrypted sensitive data is one of the challenges in communication networks and cloud computing. Various methods have been proposed to achieve this goal, one of the most interesting of which is Attribute-Based Encryption (ABE). In ABE schemes, the access structure, which is defined as a policy, can be applied to the key or ciphertext. Thus, if the policy is applied to the key, it is called the Key Policy Attribute-Based Encryption (KP-ABE), and on the other hand, if it is applied to the ciphertext, it is called the Ciphertext Policy Attribute-Based Encryption (CP-ABE). Since in the KP-ABE, the policy is selected once by a trusted entity and is fixed then, they are not suitable for applications where the policy needs to change repeatedly. This problem is solved in CP-ABE, where the policy is selected by the sender and changed for each message. Furthermore, the access structure should present a strong fine-grained access control. The arithmetic access structure can supply fine-grained access structures stronger than Boolean access structures. We present the first CP-ABE scheme with an arithmetic circuit access policy based on the multilinear maps. First, we outline a basic design and then two improved versions of this scheme, with or without the property of hidden attributes, are introduced. We also define the concept of Hidden Result Attribute Based Encryption (HR-ABE) which means that the result of the arithmetic function will not be revealed to the users. We define a new hardness assumption, called the (k-1)-Distance Decisional Diffie-Hellman assumption, which is at least as hard as the k-multilinear decisional Diffie-Hellman assumption. Under this assumption, we prove the adaptive security of the proposed scheme.

Existing lattice signature schemes are much less efficient than encryption schemes due to the rejection sampling paradigm. We give a construction of comparable efficiency with lattice encryption that avoids sampling using structured secrets together with temporary keys. Structured secrets (and randoms) also improve existing lattice encryption schemes to nearly the same extreme efficiency. Our signature scheme allows the same parameters of any encryption schemes (a variation of the basic form is needed when the modulus is as small as 1-byte) and has comparable efficiency with our extreme encryption efficiency. For lightweight implementation, our techniques allow integrating of public-key encryption and signature in a simple circuit which only needs to do small integer additions as the main part of the computation.

In this paper, we present a multi-client quadratic functional encryption (MCQFE) scheme from function-hiding inner-product (FHIP). The main challenge in such construction is that all the clients require the access to the master secret key of the underlying FHIP scheme, which clearly breaches the security. To overcome this challenge, we present an efficient decentralized version of FHIP scheme of Lin (Crypto 16). This leads to a 2-step MCQFE (2-MCQFE) scheme. In a 2-step MCQFE scheme, the encryption phase is a (non-interactive) protocol among clients and a set of honest-but-curious authorities. More precisely, clients are the owner of messages and the master secret-key of the underlying FHIP is shared among authorities. In the first step, the client publishes a pre-ciphertext ``pct'' associated with its message. Then in the second step, each authority generates its share ``ct_i'' extracted from the pre-ciphertext. The public aggregation of these shares ``ct_i'' will generate the target ciphertext ``ct'' which then would be applied on the functional key ``sk_F'' to compute the quadratic functionality. The security model is strong enough to consider no trust among clients and authorities, and also the revelation of some secret keys (of clients or authorities) through corruptions. We instantiate our 2-MCQFE scheme and prove its security in the random-oracle model based on the SXDH assumption. Moreover, we show that its security holds as long as at least one of the authorities is not corrupted.