Parvez Faruki

2.2k total citations · 2 hit papers
33 papers, 1.4k citations indexed

About

Parvez Faruki is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Parvez Faruki has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 21 papers in Signal Processing and 14 papers in Information Systems. Recurrent topics in Parvez Faruki's work include Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers) and Digital and Cyber Forensics (7 papers). Parvez Faruki is often cited by papers focused on Advanced Malware Detection Techniques (21 papers), Network Security and Intrusion Detection (17 papers) and Digital and Cyber Forensics (7 papers). Parvez Faruki collaborates with scholars based in India, Italy and France. Parvez Faruki's co-authors include Akka Zemmari, Mohamed Mosbah, Vijay Laxmi, Manoj Singh Gaur, Mauro Conti, Muttukrishnan Rajarajan, P. Vinod, Rajendra Pamula, Mahesh Chandra Govil and Arka Prokash Mazumdar and has published in prestigious journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Parvez Faruki

31 papers receiving 1.3k citations

Hit Papers

Network Intrusion Detection for IoT Security Based... 2014 2026 2018 2022 2019 2014 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Network Intrusion Detection for IoT Security Based on Learning Techniques
    2019 627 citations Akka Zemmari, Parvez Faruki et al. profile →
  2. Android Security: A Survey of Issues, Malware Penetration, and Defenses
    2014 371 citations Parvez Faruki, Vijay Laxmi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Parvez Faruki India 12 1.1k 957 514 509 236 33 1.4k
BooJoong Kang South Korea 14 891 0.8× 1.0k 1.1× 459 0.9× 356 0.7× 339 1.4× 34 1.3k
Hamed Okhravi United States 19 733 0.7× 736 0.8× 348 0.7× 820 1.6× 66 0.3× 53 1.3k
Junghwan Rhee United States 19 914 0.8× 595 0.6× 655 1.3× 591 1.2× 127 0.5× 61 1.3k
Antonio Bianchi United States 17 443 0.4× 908 0.9× 578 1.1× 512 1.0× 387 1.6× 45 1.2k
Martín Ochoa Singapore 15 630 0.6× 538 0.6× 408 0.8× 490 1.0× 57 0.2× 51 1.0k
Mario Polino Italy 9 243 0.2× 581 0.6× 332 0.6× 401 0.8× 305 1.3× 23 877
Daisuke Inoue Japan 15 732 0.7× 542 0.6× 247 0.5× 534 1.0× 50 0.2× 96 923
Arun Lakhotia United States 21 642 0.6× 869 0.9× 984 1.9× 511 1.0× 659 2.8× 73 1.5k
Witawas Srisa‐an United States 16 744 0.7× 467 0.5× 422 0.8× 262 0.5× 297 1.3× 83 1.1k
Sakir Sezer United Kingdom 12 389 0.3× 323 0.3× 240 0.5× 177 0.3× 98 0.4× 41 741

Countries citing papers authored by Parvez Faruki

Since Specialization
Citations

This map shows the geographic impact of Parvez Faruki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Parvez Faruki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parvez Faruki more than expected).

Fields of papers citing papers by Parvez Faruki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Parvez Faruki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Parvez Faruki. The network helps show where Parvez Faruki may publish in the future.

Co-authorship network of co-authors of Parvez Faruki

This figure shows the co-authorship network connecting the top 25 collaborators of Parvez Faruki. A scholar is included among the top collaborators of Parvez Faruki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Parvez Faruki. Parvez Faruki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pamula, Rajendra, et al.. (2025). DLCDroid an android apps analysis framework to analyse the dynamically loaded code. Scientific Reports. 15(1). 3292–3292.
2.
Faruki, Parvez, et al.. (2024). Deep Learning Approach to Mitigate DDoS Attacks in SDN. Journal of Computer Science. 20(9). 1030–1039. 1 indexed citations
3.
Faruki, Parvez, et al.. (2023). Detection of Sensitive Malicious Android Functionalities using Inter-component Control-flow Analysis. IEEE Access. 1–1. 1 indexed citations
4.
Faruki, Parvez, et al.. (2023). A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks. Information. 14(7). 374–374. 18 indexed citations
5.
Pamula, Rajendra, et al.. (2023). Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network. The Journal of Supercomputing. 79(14). 16233–16274. 17 indexed citations
6.
Faruki, Parvez, et al.. (2022). Advancements in Smart Computing and Information Security. Communications in computer and information science. 1 indexed citations
7.
Faruki, Parvez, et al.. (2022). Advancements in Smart Computing and Information Security. Communications in computer and information science. 2 indexed citations
8.
Faruki, Parvez, et al.. (2022). Formal model for inter-component communication and its security in android. Computing. 104(8). 1839–1865. 8 indexed citations
9.
Thakur, Deepak, et al.. (2022). Android malware classification using feature fusion and AdaBoost learning. AIP conference proceedings. 2458. 100013–100013. 1 indexed citations
10.
Mazumdar, Arka Prokash, et al.. (2022). Congestion control in Internet of Things: Classification, challenges, and future directions. Sustainable Computing Informatics and Systems. 35. 100678–100678. 27 indexed citations
11.
Laxmi, Vijay, et al.. (2022). Dense spatially-weighted attentive residual-haze network for image dehazing. Applied Intelligence. 52(12). 13855–13869. 4 indexed citations
12.
Dutta, Avijit, et al.. (2020). Secure Proof of Ownership Using Merkle Tree for Deduplicated Storage. Automatic Control and Computer Sciences. 54(4). 358–370. 9 indexed citations
13.
Jain, Mohit, et al.. (2019). VM Availability in Presence of Malicious Attacks in Open-Source Cloud. 26–30. 1 indexed citations
14.
Faruki, Parvez, et al.. (2016). Android component vulnerabities: Proof of concepts and mitigation. 17–22. 5 indexed citations
15.
Faruki, Parvez, Akka Zemmari, Manoj Singh Gaur, Vijay Laxmi, & Mauro Conti. (2016). MimeoDroid: Large Scale Dynamic App Analysis on Cloned Devices via Machine Learning Classifiers. Research Padua Archive (University of Padua). 60–65. 6 indexed citations
16.
Faruki, Parvez, et al.. (2014). Evaluation of Android Anti-malware Techniques against Dalvik Bytecode Obfuscation. Research Padua Archive (University of Padua). 414–421. 25 indexed citations
17.
Faruki, Parvez, et al.. (2014). AndroSimilar: Robust signature for detecting variants of Android malware. Journal of Information Security and Applications. 22. 66–80. 61 indexed citations
18.
Faruki, Parvez, et al.. (2013). AndroSimilar. 152–159. 93 indexed citations
19.
Faruki, Parvez, Vijay Laxmi, Manoj Singh Gaur, & P. Vinod. (2012). Mining control flow graph as API call-grams to detect portable executable malware. 130–137. 29 indexed citations
20.
Faruki, Parvez, Vijay Laxmi, Manoj Singh Gaur, & P. Vinod. (2012). Behavioural detection with API call-grams to identify malicious PE files. 85–91. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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