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Banani Saha

Publications and source records attributed to Banani Saha.

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Multi-channel secure communication framework for wireless IoT (MCSC-WoT): enhancing security in Internet of Things

In modern smart systems, the convergence of the Internet of Things (IoT) and Wireless of Things (WoT) have been revolutionized by offering a broad level of wireless connectivity and communication among various devices. Hitherto, this greater interconnectivity poses important security problems, including the question of how to securely interconnect different networks, preserve secure communication channels, and maintain data integrity. However, the traditional cryptographic method and frequency hopping technique, although they provide some protection, are not sufficient to defend against Man-In-The-Middle, jamming, and replay attacks. In addition, synchronization issues in multi-channel communication systems result in increased latency and energy consumption, which make them unsuitable for resource-constrained IoT and WoT devices. This work presents the Multi-Channel Secure Communication (MCSC) framework, which integrates advanced cryptographic protocols with dynamic channel-hopping strategies to enhance security with reduced synchronization overhead. The MCSC framework maximizes the critical performance metrics, such as packet delivery ratio, latency, throughput, and energy efficiency, and fulfills the specific requirements of the IoT and WoT networks. A comprehensive comparison of MCSC with well-established methods, including Frequency Hop Spread Spectrum, single channel Advanced Encryption Standard, and various Elliptic Curve Cryptography-based schemes, indicates that MCSC has lower error rates and is more resilient to a wider range of cyber attacks. The efficiency of the proposed solution to secure IoT and WoT networks without compromising the operational performance is validated under various interference conditions.

cs.CR

Secure Data Transmission over Insecure Radio Channel in Wireless of Things (WoT) Network

Potential capacity of processors is enhancing rapidly which leads to the increase of computational ability of the adversary. As a result, the required key size for conventional encryption techniques is growing everyday for complex unbreakable security communication systems. The Public Key Cryptography (PKC) techniques which use larger keys cannot be fitted in tiny resource constrained Wireless of Things (WoT) devices. Some Symmetric Key Cryptosystems (SKC) use smaller keys, which can be fitted in the tiny devices. But in large networks where the number of nodes is in the order of 103, the memory constraint does not allow the system to do so. The existing secure data communication in insecure medium uses various conventional encryption methods like Public Key Cryptography (PKC) and Symmetric Key Cryptosystems (SKC). Generally, modern encryption methods need huge processing power, memory and time. Also in some cases, Key Pre-distribution System (KPS) is used among different communicating devices. With the growing need for larger key size in the conventional secure communication system, the existing resources in the communicating devices suffer from resource starvation. Hence, the need of a novel mechanism for secure communication is inevitable. But the existing secure communication mechanisms like PKC, SKC or KPS do not ensure elimination of resource starvation issue in tiny devices during communication. In these existing conventional mechanisms, the plain text is generally converted into cipher text with greater size than the plain text at the device level, which leads to resource starvation. At the time of transmission, the cipher text at the device end requires more bandwidth than the plain text which puts bandwidth overhead on the broadcast channel (BC).

cs.CR

An Efficient Elliptic Curve Cryptography Arithmetic Using Nikhilam Multiplication

Multiplication is one of the most important operation in Elliptic Curve Cryptography (ECC) arithmetic. For point addition and point doubling in ECC scalar (integer) multiplication is required. In higher order classical (standard) multiplication many intermediate operations are required. Reduced operation in multiplication will increase the functional speed of ECC arithmetic. These goals can be achieved using ancient multiplication algorithm namely Nikhilam Sutra. Nikhilam Sutra is one of the Sutra (algorithm) within 16 Vedic mathematics Sutras (algorithms). Nikhilam Sutra is efficient for multiplying two large decimal numbers. The Sutra reduces multiplication of two large numbers into two smaller numbers multiplication. The functional speed of Elliptic Curve Cryptography can be increased using Nikhilam method for scalar multiplication.

cs.CR

DNA Encoded Elliptic Curve Cryptography System for IoT Security

In the field of Computer Science and Information Technology Internet of Things (IoT) is one of the emerging technologies. In IoT environment several devices are interconnected and transmit data among them. There may be some security vulnerability arise within the IoT environment. Till date, IoT has not been widely accepted due to its security flaws. Hence to keep the IoT environment most robust, we propose a stable security framework of IoT with Elliptic Curve Cryptography (ECC) using DNA Encoding. The ECC is most lightweight cryptography technique among other well known public key cryptography techniques. To increase encryption complexity, DNA encoding mechanism of DNA computing with ECC is preceded.

cs.CR

Robust Quantum Circuit for Clique Problem with Intermediate Qudits

Clique problem has a wide range of applications due to its pattern matching ability. There are various formulation of clique problem like $k$-clique problem, maximum clique problem, etc. The $k$-Clique problem, determines whether an arbitrary network has a clique or not whereas maximum clique problem finds the largest clique in a graph. It is already exhibited in the literature that the $k$-clique or maximum clique problem (NP-problem) can be solved in an asymptotically faster manner by using quantum algorithms as compared to the conventional computing. Quantum computing with higher dimensions is gaining popularity due to its large storage capacity and computation power. In this article, we have shown an improved quantum circuit implementation for the $k$-clique problem and maximum clique problem (MCP) with the help of higher-dimensional intermediate temporary qudits for the first time to the best of our knowledge. The cost of state-of-the-art quantum circuit for $k$-clique problem is colossal due to a huge number of $n$-qubit Toffoli gates. We have exhibited an improved cost and depth over the circuit by applying a generalized $n$-qubit Toffoli gate decomposition with intermediate ququarts (4-dimensional qudits).

cs.ET

Circuit Design for Clique Problem and Its Implementation on Quantum Computer

Finding cliques in a graph has several applications for its pattern matching ability. $k$-clique problem, a special case of clique problem, determines whether an arbitrary graph contains a clique of size $k$, has already been addressed in quantum domain. A variant of $k$-clique problem that lists all cliques of size $k$, has also popular modern-day applications. Albeit, the implementation of such variant of $k$-clique problem in quantum setting still remains untouched. In this paper, apart from theoretical solution of such $k$-clique problem, practical quantum gate-based implementation has been addressed using Grover's algorithm. This approach is further extended to design circuit for the maximum clique problem in classical-quantum hybrid architecture. The algorithm automatically generates the circuit for any given undirected and unweighted graph and any given $k$, which makes our approach generalized in nature. The proposed approach of solving $k$-clique problem has exhibited a reduction of qubit cost and circuit depth as compared to the state-of-the-art approach, for a small $k$ with respect to a large graph. A framework that can map the automated generated circuit for clique problem to quantum devices is also proposed. An analysis of the experimental results is demonstrated using IBM's Qiskit.

cs.DS