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Bishal Basak Papan

dblp:320/1187 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2026
0000-0003-0317-4439ORCID · corroborated

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

Computer networks · 2 · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
distributed storage
1.012026
UpFuzz: Detecting Data Format Incompatibility Bugs during Distributed Storage System Upgrade · NSDI 2026
Software testing
fuzzing
0.312026
UpFuzz: Detecting Data Format Incompatibility Bugs during Distributed Storage System Upgrade · NSDI 2026

Methods — techniques the papers use, named apart from their topics

fuzzing · 2.0
YearPublicationVenuePosition
2026 UpFuzz: Detecting Data Format Incompatibility Bugs during Distributed Storage System Upgrade
P. C. Sruthi, Yayu Wang, Yaoxu Song, Bishal Basak Papan, Pedro Fonseca 0001, Yongle Zhang 0007
NSDI5
2024 Dealing with Smart GPS Spoofing Attacks in VANETs: 3BSM Approach
abstract
Nowadays VANETs are being used to ensure road safety and reduce traffic congestion. Vehicles exchange real time position with one another through basic safety messages and these periodic updates must be authenticated for safety purpose. Malicious vehicles can broadcast spoofed position and such an insider attack cannot be dealt with cryptography and digital signature. However, previous machine learning-based approaches that used distributed data-centric misbehaviour detection schemes could detect such attacks in most of the scenarios. However, in case of smarter attacks in a sparse network (where the attacker vehicle pretend to be stand still even though it is on the move), previous solutions could not always detect such attacks. We propose a novel detection scheme which outperforms previously published methods in this specific scenario. For evaluating the performance of this approach, we have used VeReMi dataset, a public repository for the malicious node detection in VANETs. We combine three consecutive basic safety messages and surpass currently existing methods in detecting eventual stop attacks, especially in sparse networks. Our proposed method can help in securing VANET, thereby preventing fatal accidents.
Zahin Wahab, Bishal Basak Papan, Md. Shohrab Hossain, Mohammed Atiquzzaman
ICC2
2023 On 2-Interval Pairwise Compatibility Properties of Two Classes of Grid Graphs
abstract
Abstract A graph $G = (V,E)$ is called a pairwise compatibility graph (PCG) if it admits a tuple $(T, d_{min},d_{max})$ of an edge-weighted tree $T$ of non-negative edge weights with leaf set $L$, two non-negative real numbers $d_{min} \leq d_{max}$ such that each vertex $u^{\prime} \in V$ represents a leaf $u \in L$ and $G$ has an edge $(u^{\prime},v^{\prime}) \in E$ if and only if the distance between the two leaves $u$ and $v$ in the tree $T$ lies within interval $[d_{min}, d_{max}]$. It has been proven that not all graphs are PCGs. A graph $G$ is called a $k$-interval PCG if there exists an edge-weighted tree $T$ and $k$ mutually exclusive intervals of non-negative real numbers such that there is an edge between two vertices in $G$ if and only if the distance between their corresponding leaves in $T$ lies within any of the $k$ intervals. It is known that every graph $G$ is a $k$-interval PCG for $k=|E|$, where $E$ is the set of edges of $G$. It is thus interesting to know the smallest value of $k$ for which $G$ is a $k$-interval PCG. In this paper, we show that grid graphs and a subclass of $3$D grid graphs are $2$-interval PCGs.
Bishal Basak Papan, Protik Bose Pranto, Md. Saidur Rahman 0001
Comput. J.1
2022 New results on pairwise compatibility graphs
Sheikh Azizul Hakim, Bishal Basak Papan, Md. Saidur Rahman 0001
Inf. Process. Lett.2