Amin Sakzad

Dr. Amin Sakzad

Faculty of Information Technology, Monash University, Clayton VIC 3800, Australia
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 October 2018
Verified
Conference Paper
Open access
SLShangqi Lai
Shangqi Lai
SPSikhar Patranabis
Sikhar Patranabis
Amin SakzadAmin Sakzad
Amin Sakzad
JLJoseph K. Liu
Joseph K. Liu
DMDebdeep Mukhopadhyay
Debdeep Mukhopadhyay
CZCong Zuo
Cong Zuo
The recently proposed Oblivious Cross-Tags (OXT) protocol (CRYPTO 2013) has broken new ground in designing efficient searchable symmetric encryption (SSE) protocol with support for conjunctive keyword search in a single-writer single-reader framework. While the OXT protocol offers high performance by adopting a number of specialised data-structures, it also trades-off security by leaking 'partial' database information to the server. Recent attacks have exploited similar partial information leakage to breach database confidentiality. Consequently, it is an open problem to design SSE protocols that plug such leakages while retaining similar efficiency. In this paper, we propose a new SSE protocol, called Hidden Cross-Tags (HXT), that removes 'Keyword Pair Result Pattern' (KPRP) leakage for conjunctive keyword search. We avoid this leakage by adopting two additional cryptographic primitives - Hidden Vector Encryption (HVE) and probabilistic (Bloom filter) indexing into the HXT protocol. We propose a 'lightweight' HVE scheme that only uses efficient symmetric-key building blocks, and entirely avoids elliptic curve-based operations. At the same time, it affords selective simulation-security against an unbounded number of secret-key queries. Adopting this efficient HVE scheme, the overall practical storage and computational overheads of HXT over OXT are relatively small (no more than 10% for two keywords query, and 21% for six keywords query), while providing a higher level of security.

15 October 2018
Verified
Conference Paper
Open access
PDF file
SSShi-Feng Sun
Shi-Feng Sun
XYXingliang Yuan
Xingliang Yuan
JLJoseph K. Liu
Joseph K. Liu
RSRon Steinfeld
Ron Steinfeld
Amin SakzadAmin Sakzad
Amin Sakzad
SNSurya Nepal
Surya Nepal

15 September 2016
Verified
Book Chapter
Closed access
PDF file
SSShi-Feng Sun
Shi-Feng Sun
Joseph LiuJoseph Liu
Joseph Liu
Amin SakzadAmin Sakzad
Amin Sakzad
RSRon Steinfeld
Ron Steinfeld
Tsz Hon YuenTsz Hon Yuen
Tsz Hon Yuen

15 August 2018
Verified
Book Chapter
Closed access
PDF file
BYBin Yu
Bin Yu
Joseph LiuJoseph Liu
Joseph Liu
Amin SakzadAmin Sakzad
Amin Sakzad
SNSurya Nepal
Surya Nepal
RSRon Steinfeld
Ron Steinfeld
MAMan Ho Au
Man Ho Au

13 June 2018
Verified
Book Chapter
Closed access
WTWilson Abel Alberto Torres
Wilson Abel Alberto Torres
RSRon Steinfeld
Ron Steinfeld
Amin SakzadAmin Sakzad
Amin Sakzad
JLJoseph K. Liu
Joseph K. Liu
VKVeronika Kuchta
Veronika Kuchta
JCJacob Cheng
Jacob Cheng

12 September 2013 in IEEE Transactions on Wireless Communications
Verified
Journal Article
Closed access
Amin SakzadAmin Sakzad
Amin Sakzad
JHJ. Harshan
J. Harshan
EVEmanuele Viterbo
Emanuele Viterbo
A new architecture called integer-forcing (IF) linear receiver has been recently proposed for multiple-input multiple-output (MIMO) fading channels, wherein an appropriate integer linear combination of the received symbols has to be computed as a part of the decoding process. In this paper, we propose a method based on Hermite-Korkine-Zolotareff (HKZ) and Minkowski lattice basis reduction algorithms to obtain the integer coefficients for the IF receiver. We show that the proposed method provides a lower bound on the ergodic rate, and achieves the full receive diversity. Suitability of complex Lenstra-Lenstra-Lovasz (LLL) lattice reduction algorithm (CLLL) to solve the problem is also investigated. Furthermore, we establish the connection between the proposed IF linear receivers and lattice reduction-aided MIMO detectors (with equivalent complexity), and point out the advantages of the former class of receivers over the latter. For the 2 × 2 and 4× 4 MIMO channels, we compare the coded-block error rate and bit error rate of the proposed approach with that of other linear receivers. Simulation results show that the proposed approach outperforms the zero-forcing (ZF) receiver, minimum mean square error (MMSE) receiver, and the lattice reduction-aided MIMO detectors.