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Topic · Signal Processing

Advanced Malware Detection Techniques

Advanced Malware Detection Techniques is a research topic within Signal Processing. Science Explorer counts 51k research works in it since 1952. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the characterization, detection, and analysis of Android malware. It covers topics such as machine learning-based detection, security analysis, behavioral and permission analysis, deep learning approaches, dynamic analysis, IoT security, and ransomware threats.

  • Android Malware
  • Detection
  • Machine Learning
  • Security Analysis
  • Behavioral Analysis
  • Permission Analysis
  • Deep Learning
  • Dynamic Analysis
  • IoT Security
  • Ransomware
Research works
51k
fractional, since 1952
In the world top 10%
5k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+47%
the tick is no change
Largest producer
India
31% of the 10 largest, 2022-now
Advanced Malware Detection Techniques

Which countries lead Advanced Malware Detection Techniques research?

By volume, India and China publish the most (3.9k and 3.4k works in 2022-now).

By volume, 2022-now

  1. 1 India 3.9k works
  2. 2 China 3.4k works
  3. 3 United States 2.6k works
  4. 4 United Kingdom 560 works
  5. 5 Germany 451 works
  6. 6 Saudi Arabia 450 works
  7. 7 Indonesia 395 works
  8. 8 Canada 386 works
  9. 9 Italy 371 works
  10. 10 South Korea 350 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

India: 30.7%China: 26.2%United States: 19.9%United Kingdom: 4.4%6 others listed: 18.8%31%largest
India3,934 · 30.7%China3,364 · 26.2%United States2,557 · 19.9%United Kingdom560 · 4.4%6 others listed2,404 · 18.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Advanced Malware Detection Techniques research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Advanced Malware Detection Techniques research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 205 works
  2. 2 SRM Institute of Science and TechnologyIndia 138 works
  3. 3 Vellore Institute of Technology UniversityIndia 119 works
  4. 4 Amrita Vishwa VidyapeethamIndia 103 works
  5. 5 Beijing University of Posts and TelecommunicationsChina 90 works
  6. 6 Saveetha UniversityIndia 84 works
  7. 7 National University of Defense TechnologyChina 78 works
  8. 8 Chitkara UniversityIndia 71 works
  9. 9 Koneru Lakshmaiah Education FoundationIndia 65 works
  10. 10 Centre National de la Recherche ScientifiqueFrance 62 works

Who are the leading researchers in Advanced Malware Detection Techniques?

The most-cited researchers publishing on Advanced Malware Detection Techniques include Xiangyu Zhang, Xiaogang Wang and Kai You Wang.

  1. 1 Xiangyu Zhang 327k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Kai You Wang China 224k citations
  4. 4 Frede Blaabjerg Denmark 203k citations
  5. 5 Martin J. White France 183k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Advanced Malware Detection Techniques?

The most cited paper in Advanced Malware Detection Techniques is "A detailed analysis of the KDD CUP 99 data set" (Mahbod Tavallaee, Ebrahim Bagheri, Wei Lu et al., 2009), with 5,024 citations. Next come "The Sybil Attack" (4,436) and "UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)" (3,934).

Most cited papers
#PaperReleasedCitations
1 A detailed analysis of the KDD CUP 99 data set Mahbod Tavallaee, Ebrahim Bagheri, Wei Lu et al. Conference paperOpen access Jul 2009 5,024
2 The Sybil Attack John R. Douceur · Lecture notes in computer science Conference paper 2002 4,436
3 UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) Nour Moustafa, Jill Slay Conference paper Nov 2015 3,934
4 Practical Black-Box Attacks against Machine Learning Nicolas Papernot, Patrick Drew McDaniel, Ian Goodfellow et al. Conference paper 31 Mar 2017 3,549
5 An Intrusion-Detection Model Dorothy E. Denning · IEEE Transactions on Software Engineering Feb 1987 3,414
All 100 most cited papers, with filters and sorting

Where is Advanced Malware Detection Techniques research done?

The largest centres of Advanced Malware Detection Techniques research in 2022-now are Beijing (China), Chennai (India), Nanjing (China) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Williamsburg.

Largest cities, 2022-now

  1. 1 BeijingChina 842 works
  2. 2 ChennaiIndia 463 works
  3. 3 NanjingChina 219 works
  4. 4 BengaluruIndia 217 works
  5. 5 CoimbatoreIndia 204 works
  6. 6 PuneIndia 187 works
  7. 7 ShanghaiChina 186 works
  8. 8 SeoulSouth Korea 182 works
  9. 9 New DelhiIndia 172 works
  10. 10 GuangzhouChina 154 works

Where it is the local speciality

  1. WilliamsburgUS · 22.2 works27×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Malware Detection Techniques than the world average.

See Advanced Malware Detection Techniques on the map

Where is the best place to study Advanced Malware Detection Techniques?

Among universities, judged by research, King Faisal University, King Saud University and King Abdulaziz University score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 28.47%fractional works in this field (log) →share of work in the world top 10% →King Faisal UniversityKing Saud UniversityKing Khalid UniversityKing Abdulaziz Unive…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1King Faisal UniversitySaudi Arabia 73.434.4%5.6×22 +381.2%
2King Saud UniversitySaudi Arabia 70.532.5%2.4×38 +85.2%
3King Abdulaziz UniversitySaudi Arabia 66.427.0%4.2×36 +63.1%
4King Khalid UniversitySaudi Arabia 64.928.3%3.6×21 +334.9%
5Al-Balqa Applied UniversityJordan 64.137.1%7.8×13 +284.4%
6Princess Nourah bint Abdulrahman UniversitySaudi Arabia 63.426.2%4.8×19 +1260.8%
7University of New BrunswickCanada 61.938.3%7.2×13 +0.5%
8University of TabukSaudi Arabia 59.727.8%6.7×15 +265.2%
9Vellore Institute of Technology UniversityIndia 59.19.7%7.6×119 +78.7%
10Deakin UniversityAustralia 58.423.4%4.0×28 +29.5%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Advanced Malware Detection Techniques, country by country

Is Advanced Malware Detection Techniques research growing?

Output in 2022-2025 was 47% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Advanced Malware Detection Techniques.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Advanced Malware Detection Techniques as a percentage of every work published that year, 0.087% in 2024.

still counting0.050%0.10%Advanced Malware Detection Techniques0.081% in 202519801990200020102020

Fractional works of Advanced Malware Detection Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Advanced Malware Detection Techniques9.7% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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