Sugata Gangopadhyay

dblp:86/1861 · DBLP profile ↗
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34ranked-venue papers
7as first author
9since 2021 · last 2026
0000-0002-7329-7349ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 17 · 4 first-author · 1 since 2021Security and privacy · 9 · 2 first-author · 1 since 2021Databases, data management, data science and information retrieval · 5 · 2 first-authorSystems, architecture and hardware · 3 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 2 since 2021Computer networks · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Efficient and Secure Lattice-Based Unique Ring Signature with Applications in IoT
Vishal Pareek, Chinmoy Biswas, Harshit Agarwal, Aditi Kar Gangopadhyay, Sugata Gangopadhyay
J. Supercomput.5
2026 LaSDVS: a post-quantum secure compact strong-designated verifier signature with applications to genomic consent authorization
Shanu Poddar, Sweta Mishra, Tapaswini Mohanty, Sugata Gangopadhyay
J. Supercomput.5
2025 Giant Does NOT Mean Strong: Cryptanalysis of BQTRU
Ali Raya, Aditi Kar Gangopadhyay, Sugata Gangopadhyay
PQCrypto (1)4
2025 Efficient key encapsulation mechanisms from noncommutative NTRU
Ali Raya, Sugata Gangopadhyay, Aditi Kar Gangopadhyay
Comput. Networks3
2025 Secure and efficient fully dynamic group signature based on RSIS and RLWE
Vishal Pareek, Chinmoy Biswas, Aditi Kar Gangopadhyay, Sugata Gangopadhyay
Peer Peer Netw. Appl.4
2023 Generating Adversarial Examples Using LAD
Sneha Chauhan, Loreen Mahmoud, Tanay Sheth, Sugata Gangopadhyay, Aditi Kar Gangopadhyay
IDEAL4
2023 An approach to occluded face recognition based on dynamic image-to-class warping using structural similarity index
Shadab Naseem, Santosh Singh Rathore, Sandeep Kumar 0004, Sugata Gangopadhyay, Ankita Jain
Appl. Intell.4
2022 A Comparative Study of LAD, CNN and DNN for Detecting Intrusions
Sneha Chauhan, Loreen Mahmoud, Sugata Gangopadhyay, Aditi Kar Gangopadhyay
IDEAL3
2022 C-differential bent functions and perfect nonlinearity
Pantelimon Stanica, Sugata Gangopadhyay, Aaron Geary, Constanza Riera, Anton Tkachenko
Discret. Appl. Math.2
2020 Generalized bent Boolean functions and strongly regular Cayley graphs
Constanza Riera, Pantelimon Stanica, Sugata Gangopadhyay
Discret. Appl. Math.3
2020 Generic constructions of $\mathbb {Z}$-bent functions
Samir Hodzic, Enes Pasalic, Sugata Gangopadhyay
Des. Codes Cryptogr.3
2019 Construction of resilient Boolean functions in odd variables with strictly almost optimal nonlinearity
Yujuan Sun, Jia-Fang Zhang, Sugata Gangopadhyay
Des. Codes Cryptogr.3
2019 Design methods for semi-bent functions
Enes Pasalic, Sugata Gangopadhyay, WeiGuo Zhang 0001, Samed Bajric
Inf. Process. Lett.2
2018 Analysis of Cost function using Genetic algorithm to construct balanced Boolean function
abstract
The security of symmetric cryptosystem depends upon the cryptographic properties of Boolean function, e.g. balancedness, high nonlinearity, and low autocorrelation used as primitives in their designs. The problem of finding such Boolean functions satisfying multiple cryptographic properties is computationally hard, since the search space consisting of all n variable Boolean functions are 22n. The most common methods used for constructing Boolean functions are the random generation, algebraic construction and evolutionary techniques. In this paper, we use the Genetic algorithm to construct balanced Boolean function with Clark's cost function with high nonlinearity and low autocorrelation. Our main focus is to analyze the Clark's cost function with different values of tuning parameter using Genetic algorithm and compares the results obtained with the nonlinearity as a cost function.
Pratap Kumar Behera, Sugata Gangopadhyay
TENCON2
2018 On non-existence of bent-negabent rotation symmetric Boolean functions
Bimal Mandal, Sugata Gangopadhyay, Subhamoy Maitra, Vellaichamy Vetrivel
Discret. Appl. Math.3
2018 Gowers U3 norm of some classes of bent Boolean functions
Sugata Gangopadhyay, Bimal Mandal, Pantelimon Stanica
Des. Codes Cryptogr.1
2018 A TMDTO Attack Against Lizard
abstract
Lizard is a very recently proposed lightweight stream cipher that claims 60 bit security against distinguishing (related to state recovery) and 80 bit security against key recovery attack. This cipher has 121 bit state size. In this paper, we first note that using ψ key stream bits one can recover ψ unknown bits of the state when t state bits are fixed to a specific pattern. This is made possible by guessing the remaining state bits. We present certain values of ψ, t based on the state size that helps in mounting a generic conditional TMDTO attack following the BSW sampling. For Lizard, we obtain the preprocessing complexity as 267, and the maximum of Data, Time and Memory complexity during the online phase as 254. The parameters in the online phase are significantly less than 260.
Subhamoy Maitra, Nishant Sinha 0003, Akhilesh Siddhanti, Ravi Anand, Sugata Gangopadhyay
IEEE Trans. Computers5
2017 On derivatives of polynomials over finite fields through integration
Enes Pasalic, Amela Muratovic-Ribic, Samir Hodzic, Sugata Gangopadhyay
Discret. Appl. Math.4
2017 A note on non-splitting Z-bent functions
Sugata Gangopadhyay, Enes Pasalic, Pantelimon Stanica, Saral Datta
Inf. Process. Lett.1
2016 An Analysis of the 풞 Class of Bent Functions
abstract
Two (so-called 𝒞, D) classes of permutation-based bent Boolean functions were introduced by Carlet [4] two decades ago, but without specifying some explicit construction methods for their construction (apart from the subclass 𝒟 0 ). In this article, we look in more detail at the 𝒞 class, and derive some existence and nonexistence results concerning the bent functions in the 𝒞 class for many of the known classes of permutations over 𝔽 2 n . Most importantly, the existence results induce generic methods of constructing bent functions in class 𝒞 which possibly do not belong to the completed Maiorana-McFarland class. The question whether the specific permutations and related subspaces we identify in this article indeed give bent functions outside the completed Maiorana-McFarland class remains open.
Bimal Mandal, Pantelimon Stanica, Sugata Gangopadhyay, Enes Pasalic
Fundam. Informaticae3
2014 On generalized bent functions with Dillon's exponents
Samed Bajric, Enes Pasalic, Amela Muratovic-Ribic, Sugata Gangopadhyay
Inf. Process. Lett.4
2013 Affine inequivalence of cubic Maiorana-McFarland type bent functions
Sugata Gangopadhyay
Discret. Appl. Math.1
2013 A new construction of bent functions based on $${\mathbb{Z}}$$ -bent functions
Sugata Gangopadhyay, Anand B. Joshi, Gregor Leander, Rajendra Kumar Sharma
Des. Codes Cryptogr.1
2013 Bent and generalized bent Boolean functions
Pantelimon Stanica, Thor Martinsen, Sugata Gangopadhyay, Brajesh Kumar Singh
Des. Codes Cryptogr.3
2013 A Note on Generalized Bent Criteria for Boolean Functions
abstract
In this paper, we consider the spectra of Boolean functions with respect to the action of unitary transforms obtained by taking tensor products of the Hadamard kernel, denoted byH, and the nega-Hadamard kernel, denoted byN. The set of all such transforms is denoted by {H,N}n. A Boolean function is said to be bent4if its spectrum with respect to at least one unitary transform in {H,N}nis flat. We obtain a relationship between bent, semibent, and bent4functions, which is a generalization of the relationship between bent and negabent Boolean functions proved by Parker and Pott [cf., LNCS 4893 (2007), 9-23]. As a corollary to this result, we prove that the maximum possible algebraic degree of a bent4function onnvariables is [n/2] and, hence, solve an open problem posed by Riera and Parker [cf., IEEE-TIT 52:9 (2006), 4142-4159].
Sugata Gangopadhyay, Enes Pasalic, Pantelimon Stanica
IEEE Trans. Inf. Theory1
2012 On Second-order Nonlinearities of Some D0 Type Bent Functions
abstract
In this paper we study the lower bounds of second-order nonlinearities of bent functions in the class D0 constructed by modifying certain cubic Maiorana-McFarland (MMF) type bent functions. We also obtain improvements on existing results on second-or
Sugata Gangopadhyay, Brajesh Kumar Singh
Fundam. Informaticae1
2012 Internal state recovery of grain-v1 employing normality order of the filter function
abstract
A novel technique for cryptanalysis of the stream cipher Grain-v1 is given. In a particular setting, the algorithms proposed in this study provide recovery of an internal state of Grain-v1 with the expected time complexity of only 254 table look-up operations employing a memory of dimension ∼270, assuming availability of 234 keystream sequences each of length 238 generated for different initial values, and the pre-processing time complexity of ∼288. These figures appear as significantly better in comparison with the previously reported ones. The proposed approach for cryptanalysis primarily depends on the order of normality of the employed Boolean function in Grain-v1. Accordingly, in addition to the security evaluation insights of Grain-v1, the results of this study are also an evidence of the cryptographic significance of the normality criteria of Boolean functions.
Miodrag J. Mihaljevic, Sugata Gangopadhyay, Goutam Paul 0001, Hideki Imai
IET Inf. Secur.2
2012 Internal state recovery of keystream generator LILI-128 based on a novel weakness of the employed Boolean function
Miodrag J. Mihaljevic, Sugata Gangopadhyay, Goutam Paul 0001, Hideki Imai
Inf. Process. Lett.2
2012 Investigations on Bent and Negabent Functions via the Nega-Hadamard Transform
abstract
Parkerconsidered a new type of discrete Fourier transform, called nega-Hadamard transform. We prove several results regarding its behavior on combinations of Boolean functions and use this theory to derive several results on negabentness (that is, flat nega-spectrum) of concatenations, and partially symmetric functions. We derive the upper bound$\lceil {{ n}\over { 2}} \rceil $for the algebraic degree of a negabent function on$n$variables. Further, a characterization of bent–negabent functions is obtained within a subclass of the Maiorana–McFarland set. We develop a technique to construct bent–negabent Boolean functions by using complete mapping polynomials. Using this technique, we demonstrate that for each$\ell \geq 2$, there exist bent–negabent functions on$n = 12\ell $variables with algebraic degree$ {{ n}\over { 4}}+1 = 3\ell + 1$. It is also demonstrated that there exist bent–negabent functions on eight variables with algebraic degrees 2, 3, and 4. Simple proofs of several previously known facts are obtained as immediate consequences of our work.
Pantelimon Stanica, Sugata Gangopadhyay, Ankita Chaturvedi, Aditi Kar Gangopadhyay, Subhamoy Maitra
IEEE Trans. Inf. Theory2
2011 Laced Boolean functions and subset sum problems in finite fields
David Canright, Sugata Gangopadhyay, Subhamoy Maitra, Pantelimon Stanica
Discret. Appl. Math.2
2011 A Lower Bound of the Second-order Nonlinearities of Boolean Bent Functions
abstract
In this paper we find a lower bound of the second-order nonlinearities of Boolean bent functions of the form ${\rm f}({\rm x}) = {\rm Tr}_{1}^{{\rm n}}(\rmalpha_{1}{\rm x}^{{\rm d}_{1}} + \rmalpha_{2}{\rm x}^{{\rm d}_{2}})$, where d 1 and d 2 are Niho exponents. A lower bound of the second-order nonlinearities of these Boolean functions can also be obtained by using a recent result of Li, Hu and Gao (eprint.iacr.org/2010 /009.pdf). It is shown in Section 3, by a direct computation, that for large values of n, the lower bound obtained in this paper are better than the lower bound obtained by Li, Hu and Gao.
Manish Garg, Sugata Gangopadhyay
Fundam. Informaticae2
2010 A generic weakness of the k-normal Boolean functions exposed to dedicated algebraic attack
abstract
A Boolean function is k-normal if it is constant on a k-dimensional flat of its domain. This paper demonstrates that k-normality of a Boolean function can be exploited to mount a dedicated algebraic attack on a stream cipher of the nonlinear filter generator type, which employs a k-normal Boolean function as its filter function. The cryptanalysis is based on the possibility for pre-computing a table of the state-key stream pairs via solving certain system of algebraic equations as a consequence of the employed k-normal Boolean function. This pre-computed table is the main origin for mounting the cryptanalysis and it is independent of a the sample for cryptanalysis and the secret key employed for generating the sample.
Miodrag J. Mihaljevic, Sugata Gangopadhyay, Goutam Paul 0001, Hideki Imai
ISITA2
2010 Nega-Hadamard Transform, Bent and Negabent Functions
Pantelimon Stanica, Sugata Gangopadhyay, Ankita Chaturvedi, Aditi Kar Gangopadhyay, Subhamoy Maitra
SETA2
2010 On the lower bounds of the second order nonlinearities of some Boolean functions
Sugata Gangopadhyay, Sumanta Sarkar, Ruchi Telang
Inf. Sci.1