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Dr. Abhishek Verma
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Dr. Abhishek Verma

  • Preprints of research articles and conference papers [TechRxiv]

  • Ph.D Thesis [Design and Development of Intrusion Detection Systems for Internet of Things]

  • M.Tech Dissertation [An Obstacle-resistant Relay Node Placement in Constrained Environment]

  • Contiki OS [Link]

  • Contiki-NG [Link]

  • MiKTex 2.9 + packages for Windows [Link]

  • Power and Energy consumption calculation using Powertrace [Link]

  • GATE (CS) Question Papers and Answer Keys  [2015-2021]

  • BEAMER appearance cheat sheet [Link]

  • Book for learning Contiki and Cooja simulator [Link]

  • Setting up SDN network using OpenVSwitch (2.17.2) on Raspberry Pi [Link]

DATASETS

Datasets for Research Scholars

MALWARE DATASETS AND ANALYSIS

  1. Microsoft Malware Classification Challenge (BIG 2015) (https://www.kaggle.com/c/malware-classification/data)

  2. Ember: An Open Source Malware Classifier And Dataset (https://www.endgame.com/)

  3. VX Heavens ( http://vx.netlux.org/)

  4. Malware Dump ( http://www.malwaredump.com/)

  5. VirusShare (https://virusshare.com/)

  6. CLEAN MX realtime database ( http://support.clean-mx.de/clean-mx/login.php)

  7. Multiple AV scanning (http://www.virustotal.com)

  8. Cuckoo Sandbox (http://www.cuckoobox.org)

  9. Anubis Malware Analysis (http://anubis.iseclab.org)

  10. BitBlaze Malware Analysisi (https://aerie.cs.berkeley.edu/index.php)

  11. ThreatExpert Malware Analysis (http://www.threatexpert.com)

  12. SRI Honeynet/BotHunter Analysis Info (http://www.cyber-ta.org/releases/malware-analysis/public/)

  13. Ether: Malware Analysis via Hardware Virtualization Extensions (http://ether.gtisc.gatech.edu/source.html)

  14. Honeynet Project Malware Collection and Analysis tools (http://www.honeynet.org/project)

  15. MWcollect (http://www.mwcollect.org)

  16. OffensiveComputing Malware Dataset (http://www.offensivecomputing.net)

  17. Malfease Project Malware Dataset (http://malfease.oarci.net)

  18. Malware Hash Registry (http://www.team-cymru.org/Services/MHR/)

  19. SRI Malware Threat Center (http://mtc.sri.com)

  20. Clean-MX Malware URLs (http://support.clean-mx.de/clean-mx/viruses.php)

  21. Binary Whitelisting by Shadowserver/NIST (http://bin-test.shadowserver.org)

IOT MALWARE DATASETS

  1. Android Malware Dataset (http://amd.arguslab.org/)

NETWORK TRAFFIC DATASETS

  1. LBNL/ICSI Enterprise Network Traffic Dataset (Header File) (http://www.icir.org/enterprise-tracing/Overview.html)

  2. Endpoint Worm Scan Dataset (Full Payload) (http://nexginrc.org/Datasets/DatasetDetail.aspx?pageID=24)

  3. The CAIDA "DDoS Attack 2007" Dataset (http://www.caida.org/data/passive/ddos-20070804_dataset.xml)

  4. The NSL-KDD Data Set ( http://nsl.cs.unb.ca/NSL-KDD/)

  5. DARPA Intrusion Detection Datasets (Full Payload) ( http://www.ll.mit.edu/mission/communications/ist/corpora/ideval/data/index.html)

  6. Network Warfare Labeled Datasets ( http://www.itoc.usma.edu/research/dataset/index.html)

  7. Publicly Available PCAPs (http://sourceforge.net/apps/mediawiki/networkminer/index.php?title=Publicly_available_PCAP_files)

  8. LBNL/ICSI Enterprise Network Traffic Dataset (http://www.icir.org/enterprise-tracing/Overview.html)

  9. 2009-M57-Patents Enterprise Network Traffic Dataset (http://digitalcorpora.org/corpora/scenarios/m57-patents-scenario)

  10. WisNet Traffic Datasets (http://www.wisnet.seecs.nust.edu.pk/projects/ENS/DataSets.html)

  11. Internet Traffic Archive (http://www.sigcomm.org/ITA/)

  12. RIPE Routing Information Service BGP Dataset (http://www.ripe.net/projects/ris/rawdata.html)

  13. Route View Project (http://www.routeviews.or), (http://archive.routeviews.org)

NETWORKING AND NETWORK SECURITY

  1. IP to ASN Mapping (http://www.team-cymru.org/Services/ip-to-asn.html)

  2. ISC Security Information Exchange (https://sie.isc.org)

  3. DNS tools (https://www.dns-oarc.net/oarc/tools)

  4. Passive DNS Replication (http://www.bfk.de/bfk_dnslogger_en.html)

  5. DNS-WhiteList Project (http://www.dnswl.org/tech)

  6. Bots/Botnet Traking Statistics,.. (http://www.shadowserver.org)

  7. Zeus Botnet Tracker (https://zeustracker.abuse.ch)

  8. Waledac Botnet Tracker (http://www.sudosecure.net/waledac/)

  9. Fast Flux Traking (http://dnsbl.abuse.ch/fastfluxtracker.php)

  10. SpamTrackers Wiki (http://www.spamtrackers.eu/wiki/index.php/Main_Page)

  11. URIBL Domain Black List (http://www.uribl.com)

  12. Malware-related Domain Black List (http://www.malwaredomains.com)

  13. Malware Distribution URLs Blacklist (http://malwarepatrol.com/lists.shtml)

  14. IP Black Lists (http://www.spamhaus.org/zen/)

  15. SORBS DNSBL (http://www.us.sorbs.net)

  16. Spamhaus Don't Route Or Peer List (http://www.spamhaus.org/drop/index.lasso)

  17. Large-Scale Network Statistics (http://www.dshield.org)

  18. Free TCP/IP Guide (http://www.tcpipguide.com/free/index.htm)

  19. Free IP Geolocation (http://www.hostip.info/dl/index.html)

  20. ARIN Whois Database (https://www.arin.net/resources/whoisrws/whois_api.html)

  21. dpkt, packet manipulation for Python (http://code.google.com/p/dpkt/)

  22. Scapy, packet manipulation library for Python (http://www.secdev.org/projects/scapy/)

  23. NIST Net, emulates performance dynamics in IP networks (http://snad.ncsl.nist.gov/nistnet/)

  24. Top 100 Network Security Tools (http://sectools.org/)

  25. Browser Security Handbook (http://code.google.com/p/browsersec/wiki/Main)

TRAFFIC CLASSIFICATION

  1. Computer Laboratory of the University of Cambridge, Nprobe/GRIDprobe Data (including P2P traffic) (http://www.cl.cam.ac.uk/research/srg/netos/nprobe/data/index.html)

  2. WAND Network Research Group of the University of Waikato, WITS: Auckland IV Data Traces (header traces including P2P traffic) (http://wand.cs.waikato.ac.nz/wits/auck/4/)

  3. Stanford University, Stanford Large Network Dataset Collection ( http://snap.stanford.edu/data/)

PENETRATION TESTING / EXPLOITS / FORENSICS

  1. BackTrack Linux, Penetration Testing distro (http://www.backtrack-linux.org)

  2. SANS Investigate Forensic Toolkit (http://computer-forensics.sans.org/community/downloads)

  3. REMnux: A Linux Distribution for Reverse-Engineering Malware (http://zeltser.com/remnux/)

  4. Metasploit (http://www.metasploit.com)

  5. Packet Storm (http://packetstormsecurity.org)

  6. Exploit Database (http://www.exploit-db.com)

  7. Phrack Magazine (http://www.phrack.org)

MACHINE LEARNING

  1. UCI Dataset Repository (http://archive.ics.uci.edu/ml/)

  2. UCI KDD Archive (http://kdd.ics.uci.edu/)

  3. Scalable Machine Learning library based on Hadoop (http://mahout.apache.org)

  4. StatLib Data and Software (http://lib.stat.cmu.edu)

  5. Text Retrieval Datasets (http://trec.nist.gov/data.html)

  6. Weka: Data Mining Software in Java (http://www.cs.waikato.ac.nz/ml/weka/)

  7. YALE/Rapid Miner (http://sourceforge.net/projects/yale/)

  8. Pattern Recognition Tools (http://prtools.org)

  9. One-Class Classification (Data Descritpion) Tools (http://www-ict.ewi.tudelft.nl/~davidt/dd_tools.html)

  10. Kernel Machines (http://www.kernel-machines.org)

  11. LibSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/)

  12. jLibSVM - More efficient Java implementation of LibSVM (http://dev.davidsoergel.com/trac/jlibsvm/)

  13. SVM light (http://svmlight.joachims.org)

  14. Google's Suite of Fast Incremental Algorithms for Machine Learning (SOFIA-ML) (http://code.google.com/p/sofia-ml/)

  15. The R Project for Satatistical Computing (http://www.r-project.org)

  16. KernLab: Kernel-based ML in R (http://cran.r-project.org/web/packages/kernlab/index.html)

  17. rJava: R to Java interface (http://www.rforge.net/rJava/)

  18. RWeka: R to Weka interface (http://cran.r-project.org/web/packages/RWeka/index.html)

  19. FST3: Feature Selection Toolbox (http://fst.utia.cz)

  20. FASTLib: Fundamental Algorithmic and Statistical Tools Library (http://www.cc.gatech.edu/~niche/cse6740/fastlib/FASTlib_Tutorial.html)

  21. MLPACK: Scalable Machine Learning Library (http://mloss.org/software/view/152/)

  22. MLOSS: Machine Learning Open Souce Software (http://mloss.org/software)

  23. MALLET : MAchine Learning for LanguagE Toolkit (http://mallet.cs.umass.edu)

  24. OpenCV : Open Source Computer Vision library (http://opencv.willowgarage.com/wiki/)

  25. Gneric List of ML software (http://directory.google.com/Top/Computers/Artificial_Intelligence/Machine_Learning/Software/)

  26. Distributed Data Mining Bibliography (http://www.csee.umbc.edu/~hillol/DDMBIB/ddmbib_html/DDMBIB.htm)

  27. Gephi graph visualization and analysis (http://gephi.org)

  28. SMILE, C++ Library for graphical Decision-Theoretic methods (http://genie.sis.pitt.edu)


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