Guide to Intrusion Detection and Prevention Systems (IDPS)

Use of the Common Vulnerabilities and Exposures (CVE) vulnerability naming scheme

Mell, P., & Grance, T. (2002) · doi:10.6028/nist.sp.800-51 · Cited by 50

Design and Implementation

Ingenhoven, C. (2010) · De Gruyter eBooks · doi:10.11129/detail.9783955531713.18 · Cited by 4

Towards Automatic Critical Infrastructure Protection through Machine Learning

Cazorla, L., Alcaraz, C., & López, J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-319-03964-0_18 · Cited by 12

Pattern matching algorithms for intrusion detection and prevention system: A comparative analysis

Gupta, V., Singh, M., & Bhalla, V. K. (2014) · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · doi:10.1109/icacci.2014.6968595 · Cited by 12

Four Char DNA Encoding for Anomaly Intrusion Detection System

Rashid, O. F., Othman, Z. A., & Zainudin, S. (2019) · International Conference on Computer Technology Applications (ICCTA) · doi:10.1145/3323933.3324069 · Cited by 12

Intrusion Detection on ICS and SCADA Networks

Marian Gaiceanu, A., Stănculescu, M., Andrei, P. C., Solcanu, V., Gaiceanu, T., & Andrei, H. L. (2019) · Studies in systems, decision and control · doi:10.1007/978-3-030-31328-9_10 · Cited by 12

An Adaptive Threshold Method for Anomaly-based Intrusion Detection Systems

Chae, Y., Katenka, N., & DiPippo, L. C. (2019) · IEEE International Symposium on Network Computing and Applications (NCA) · doi:10.1109/nca.2019.8935045 · Cited by 12

Agent-Based Artificial Immune Systems (ABAIS) for Intrusion Detections: Inspiration from Danger Theory

Ou, C., Ou, C.-R., & Wang, Y. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-35208-9_4 · Cited by 12

Advocating for Hybrid Intrusion Detection Prevention System and Framework Improvement

Rizvi, S. S., Labrador, G., Guyan, M., & Savan, J. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.347 · Cited by 12

Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining

Gutiérrez, R., Bauer, K. W., Boehmke, B. C., Saie, C. M., & Bihl, T. (2018) · Journal of Algorithms & Computational Technology · doi:10.1177/1748301818791503 · Cited by 12

A Comparative Evolution of Unsupervised Techniques for Effective Network Intrusion Detection in Hadoop

Dahiya, P., & Srivastava, D. K. (2018) · Communications in computer and information science · doi:10.1007/978-981-13-1813-9_28 · Cited by 12

Measuring Cybersecurity and Cyber Resiliency

Snyder, D., Mayer, L. A., Weichenberg, G., Tarraf, D. C., Fox, B., Hura, M., Genc, S., & Welburn, J. (2020) · RAND Corporation eBooks · doi:10.7249/rr2703 · Cited by 12

Network Intrusion Detection System as a Service in OpenStack Cloud

Xu, C., Zhang, R., Xie, M., & Yang, L. (2020) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/icnc47757.2020.9049480 · Cited by 12

An automated framework for evaluating open-source web scanner vulnerability severity

Amankwah, R., Chen, J., Kudjo, P. K., Agyemang, B. K., & Amponsah, A. A. (2020) · Service Oriented Computing and Applications · doi:10.1007/s11761-020-00296-9 · Cited by 12

Network Intrusion Detection: Taxonomy and Machine Learning Applications

Nazir, A., & Khan, R. A. (2020) · Studies in computational intelligence · doi:10.1007/978-3-030-57024-8_1 · Cited by 11

Applying multi-correlation for improving forecasting in cyber security

Pontes, E., Guelfi, A. E., Kofuji, S. T., Silva, A., & Guelfi, A. E. (2011) · International Conference on Digital Information Management · doi:10.1109/icdim.2011.6093323 · Cited by 12

Advances and Challenges in Standalone Host-Based Intrusion Detection Systems

Bukač, V., Tuček, P., & Deutsch, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-32287-7_9 · Cited by 12

Heuristic Intrusion Detection and Prevention System

Mukhopadhyay, I., Gupta, K. S., Sen, D., & Gupta, P. (2015) · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · doi:10.1109/iemcon.2015.7344479 · Cited by 12

Machine Learning for Cyber Physical Systems

Beyerer, J., Niggemann, O., & Kühnert, C. (2016) · Springer eBooks · doi:10.1007/978-3-662-53806-7 · Cited by 12

µDetector: Automated Intrusion Detection for Microservices

Flora, J., Teixeira, M., & Antunes, N. (2023) · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · doi:10.1109/saner56733.2023.00084 · Cited by 11

A Quantum-Safe Software-Defined Deterministic Internet of Things (IoT) with Hardware-Enforced Cyber-Security for Critical Infrastructures

Szymanski, T. H. (2024) · Information · doi:10.3390/info15040173 · Cited by 15

MultiCIDS: Anomaly-based collective intrusion detection by deep learning on IoT/CPS multivariate time series

Catillo, M., Pecchia, A., & Villano, U. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101519 · Cited by 14

Security Enhancement in AAV Swarms: A Case Study Using Federated Learning and SHAP Analysis

Sudhakara, S. H., & Haghnegahdar, L. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3550792 · Cited by 11

Improving Performance of Mobile Agent Based Intrusion Detection System

Shah, B., & Trivedi, B. H. (2015) · doi:10.1109/acct.2015.118 · Cited by 11

Security technologies, usage and guidelines in SCADA system networks

Kiuchi, M., & Serizawa, Y. (2009) · 2009 ICCAS-SICE · Cited by 11

A novel online state-based anomaly detection system for process control networks

Farsi, H., Fanian, A., & Taghiyarrenani, Z. (2019) · International Journal of Critical Infrastructure Protection · doi:10.1016/j.ijcip.2019.100323 · Cited by 11

Statistical Analysis Based Intrusion Detection System for Ultra-High-Speed Software Defined Network

Naqash, T., Shah, S. H., & Najam-ul-Islam, M. (2021) · International Journal of Parallel Programming · doi:10.1007/s10766-021-00715-0 · Cited by 11

Deep learning intrusion detection system for mobile ad hoc networks against flooding attacks

Sbai, O., & Elboukhari, M. (2022) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v11.i3.pp878-885 · Cited by 11

Adaptive Character Frequency-Based Exclusive Signature Matching Scheme in Distributed Intrusion Detection Environment

Meng, Y., & Li, W. (2012) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom.2012.65 · Cited by 11

A roadmap towards improving managed security services from a privacy perspective

Ulltveit-Moe, N. (2014) · Ethics and Information Technology · doi:10.1007/s10676-014-9348-3 · Cited by 11

Weaknesses and strengths analysis over network-based intrusion detection and prevention systems

Guillen, E. P., Padilla, D., & Colorado, Y. (2009) · IEEE Latin-American Conference on Communications · doi:10.1109/latincom.2009.5305047 · Cited by 11

From open-source software to Wikipedia: ‘Backgrounding’ trust by collective monitoring and reputation tracking

de Laat, P. B. (2014) · Ethics and Information Technology · doi:10.1007/s10676-014-9342-9 · Cited by 11

Poisson-Based Anomaly Detection for Identifying Malicious User Behaviour

Sapegin, A., Amirkhanyan, A., Gawron, M., Cheng, F., & Meinel, C. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25744-0_12 · Cited by 11

An Intrusion Detection System for Network Security Situational Awareness Using Conditional Random Fields

Azhagiri, M., & Appusamy, R. (2018) · International journal of intelligent engineering and systems · doi:10.22266/ijies2018.0630.21 · Cited by 11

Estimates on the effectiveness of web application firewalls against targeted attacks

Holm, H., & Ekstedt, M. (2013) · Information Management & Computer Security · doi:10.1108/imcs-11-2012-0064 · Cited by 11

Measuring intelligent false alarm reduction using an ROC curve-based approach in network intrusion detection

Meng, Y. (2012) · IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) · doi:10.1109/cimsa.2012.6269608 · Cited by 11

IFS — Intrusion forecasting system based on collaborative architecture

Pontes, E., & Guelfi, A. E. (2009) · International Conference on Digital Information Management · doi:10.1109/icdim.2009.5356772 · Cited by 11

Intrusion Detection System (IDS) &Intrusion Prevention System (IPS): Case Study

Ashoor, A. S., & Gore, S. D. (2011) · Cited by 11

Passive NAT detection using HTTP access logs

Komárek, T., Grill, M., & Pevný, T. (2016) · IEEE International Workshop on Information Forensics and Security · doi:10.1109/wifs.2016.7823896 · Cited by 11

A framework and theory for cyber security assessments

Sommestad, T. (2012) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 11

A Survey of Using Process Data and Features of Industrial Control Systems in Intrusion Detection

Storm, J.-M., Hagen, J. M., & Toftegaard, O. A. A. (2021) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata52589.2021.9671325 · Cited by 10

Sports Data Visualization and Betting

Bhatt, V., Aggarwal, U., & Kumar, C. N. S. V. (2022) · International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) · doi:10.1109/smartgencon56628.2022.10083831 · Cited by 10

Next-Generation DDoS Attacks on IoT Deployments: Targeting the Advanced Features of MQTT v5.0 Protocol

Lakshminarayana, S., & Thilagam, P. S. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3549784 · Cited by 10

A Comparative Analysis of Signature-Based and Anomaly-Based Intrusion Detection Systems

Ravindran, V. K., Ojha, S. S., & Kamboj, A. (2025) · International Journal of Latest Technology in Engineering Management & Applied Science · doi:10.51583/ijltemas.2025.140500026 · Cited by 10

A combined system for 3D printing cybersecurity

Straub, J. (2017) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2264583 · Cited by 10

Detecting Unseen Anomalies in Network Systems by Leveraging Neural Networks

Hashemi, M., Keller, E. R., & Tizpaz-Niari, S. (2022) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3220775 · Cited by 10

DNS Traffic Analysis for Network-based Malware Detection

Hong, L. V. (2012) · Cited by 10

A comprehensive framework for detecting and preventing VoIP fraud and misuse

Hoffstadt, D., Rathgeb, E. P., Liebig, M., Meister, R., Rebahi, Y., & Thanh, T. Q. (2014) · 2012 International Conference on Computing, Networking and Communications (ICNC) · doi:10.1109/iccnc.2014.6785441 · Cited by 10

Anomaly detection and foresight response strategy for wireless sensor networks

GhasemiGol, M., Bafghi, A. G., Yaghmaee, M. H., & Yazdi, H. S. (2014) · Wireless Networks · doi:10.1007/s11276-014-0858-z · Cited by 10

Review of various firewall deployment models

Nurika, O., Aminz, A. H. B. M., Rahman, A. S. A., & Zakaria, M. N. (2012) · doi:10.1109/iccisci.2012.6297140 · Cited by 10

Intrusion Learning: An Overview of an Emergent Discipline

Bailetti, T., Gad, M., & Shah, A. (2016) · Technology Innovation Management Review · doi:10.22215/timreview/964 · Cited by 10

Coordinated Displays to Assist Cyber Defenders

Vieane, A. Z., Funke, G. J., Mancuso, V., Greenlee, E. T., Dye, G., Borghetti, B. J., Miller, B. T., Menke, L. E., & Brown, R. D. (2016) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213601078 · Cited by 10

Cyber-Physical Systems for Wide-Area Situational Awareness

Alcaraz, C., Cazorla, L., & López, J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803801-7.00020-1 · Cited by 10

Fast-Flux Botnet Detection Based on Traffic Response and Search Engines Credit Worthiness

Cafuta, D., Sruk, V., & Dodig, I. (2018) · Tehnicki vjesnik - Technical Gazette · doi:10.17559/tv-20161012115204 · Cited by 10

Adaptive Immune-Based System For Network Security

Farah, R. A. A., & Mohamed, Y. A. (2018) · International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) · doi:10.1109/iccceee.2018.8515827 · Cited by 10

n‐Grams exclusion and inclusion filter for intrusion detection in Internet of Energy big data systems

Aldwairi, M., & Alansari, D. (2019) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3711 · Cited by 10

AN ENSEMBLE OF FEATURE SUBSET SELECTION WITH DEEP BELIEF NETWORK BASED SECURE INTRUSION DETECTION IN BIG DATA ENVIRONMENT

Kumar, G., Dr., S. M., & Dr., A. N. (2021) · Indian Journal of Computer Science and Engineering · doi:10.21817/indjcse/2021/v12i2/211202101 · Cited by 10

SECURE-GEGELATI Always-On Intrusion Detection through GEGELATI Lightweight Tangled Program Graphs

Sourbier, N., Desnos, K., Guyet, T., Majorczyk, F., Gesny, O., & Pelcat, M. (2022) · Journal of Signal Processing Systems · doi:10.1007/s11265-021-01728-1 · Cited by 10

Enhancing False Alarm Reduction Using Pool-Based Active Learning in Network Intrusion Detection

Meng, Y., & Kwok, L. F. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38033-4_1 · Cited by 10

Network intrusion prevention by configuring ACLs on the routers, based on snort IDS alerts

Naveed, M., Nihar, S. U., & Babar, M. I. (2010) · International Conference on Emerging Technologies · doi:10.1109/icet.2010.5638482 · Cited by 10

Combining conjunctive rule extraction with diffusion maps for network intrusion detection

Juvonen, A., & Sipola, T. (2013) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2013.6754981 · Cited by 10

Resilient Control and Intrusion Detection for SCADA Systems

Zhu, B. (2011) · Cited by 10

A Multi-Fusion Pattern Matching Algorithm for Signature-Based Network Intrusion Detection SystemPreprint

Naik, S. M., & Geethanjali, N. (2016) · Preprints.org · doi:10.20944/preprints201608.0197.v1 · Cited by 10

Process-aware SCADA traffic monitoring : a local approach

Chromik, J. J. (2019) · doi:10.3990/1.9789036548014 · Cited by 10

A survey on security applications with SmartNICs: Taxonomy, implementations, challenges, and future trends

Elizalde, S., AlSabeh, A., Mazloum, A., Choueiri, S., Kfoury, E. F., Gomez, J., & Crichigno, J. (2025) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2025.104257 · Cited by 9

A GAN-Based Approach for enhancing security in satellite based IoT networks using MPI enabled HPC

Ahmad, S. Z., Qamar, F., Alshehri, H., Jeribi, F., Tahir, A., Siddiqui, S. T., & Ramakrishnan, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0331019 · Cited by 9

Analysis of security issues and their solutions in wireless LAN

Singh, P., Mishra, M., & Barwal, P. N. (2014) · International Conference on Information Communication and Embedded Systems · doi:10.1109/icices.2014.7033871 · Cited by 9

A Novel Method for Network Intrusion Detection

Wang, H.-M., Wei, Q., & Xie, Y. (2022) · Scientific Programming · doi:10.1155/2022/1357182 · Cited by 9

Inefficiency of IDS Static Anomaly Detectors in Real-World Networks

Guillen, E. P., Sánchez, J., & Páez, R. (2015) · Future Internet · doi:10.3390/fi7020094 · Cited by 9

Botnets Threat Analysis and Detection

Atluri, A. C., & Tran, V. (2017) · Springer eBooks · doi:10.1007/978-3-319-48947-6_2 · Cited by 9

Towards Securing Challenge-Based Collaborative Intrusion Detection Networks via Message Verification

Li, W., Meng, W., Wang, Y., Han, J., & Jin, L. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-99807-7_19 · Cited by 9

Cybersecurity for Protection and Control Systems: An Overview of Proven Design Solutions

Manson, S., & Anderson, D. (2019) · IEEE Industry Applications Magazine · doi:10.1109/mias.2018.2875175 · Cited by 9

Hybrid Architecture for Distributed Intrusion Detection System

Khonde, S. R., & Ulagamuthalvi, V. (2019) · Ingénierie des systèmes d information · doi:10.18280/isi.240102 · Cited by 9

Optimizing Alert Data Management Processes at a Cyber Security Operations Center

Ganesan, R., Shah, A., Jajodia, S., & Çam, H. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-30719-6_9 · Cited by 9

Klm-PPSA: Klm-based profiling and preventing security attacks for cloud environments: Invited Paper

Eddermoug, N., Mansour, A., Sadik, M., Sabir, E., & Azmi, M. (2019) · International Conference on Wireless Networks and Mobile Communications (WINCOM) · doi:10.1109/wincom47513.2019.8942509 · Cited by 9

A Flow-Based Technique to Detect Network Intrusions Using Support Vector Regression (SVR) over Some Distinguished Graph Features

Ghaderipour, Y., & Dinari, H. (2020) · International Journal of Mathematical Sciences and Computing · doi:10.5815/ijmsc.2020.04.01 · Cited by 9

DNA Encoding and STR Extraction for Anomaly Intrusion Detection Systems

Rashid, O. F., Othman, Z. A., Zainudin, S., & Samsudin, N. A. (2021) · IEEE Access · doi:10.1109/access.2021.3055431 · Cited by 9

Reinforcement Learning for Intrusion Detection

Saad, A. M. S. E., & Yildiz, B. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-27099-4_18 · Cited by 9

Development of hybrid intrusion detection system based on Suricata with pfSense method for high reduction of DDoS attacks on IPv6 networks

Praptodiyono, S., Firmansyah, T., Anwar, M. H. B., Wicaksana, C. A., Pramudyo, A. S., & Al-Allawee, A. (2023) · Eastern-European Journal of Enterprise Technologies · doi:10.15587/1729-4061.2023.285275 · Cited by 9

ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection

Liu, L., Wang, P., Ruan, J., Lin, J., & Hu, J. (2024) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-73699-5_9 · Cited by 9

Wireless Intrusion Prevention Systems

Timofte, J. (2008) · RePEc: Research Papers in Economics · Cited by 9

Sensor Networks Security Based on Sensitive Robots Agents: A Conceptual Model

Pintea, C.-M., & Pop, P. C. (2012) · Advances in intelligent systems and computing · doi:10.1007/978-3-642-33018-6_5 · Cited by 9

Automated Method for Reducing False Positives

Nehinbe, J. O. (2010) · International Conference on Intelligent Systems, Modelling and Simulation · doi:10.1109/isms.2010.21 · Cited by 9

Immune inspired framework for ad hoc network security

Mohamed, Y. A., & Abdullah, A. B. (2009) · International Conference on Control and Automation · doi:10.1109/icca.2009.5410147 · Cited by 9

Power-Aware Design Techniques of Secure Multimode Embedded Systems

Jiang, K., Eles, P., & Peng, Z. (2016) · ACM Transactions on Embedded Computing Systems · doi:10.1145/2801152 · Cited by 9

A New Fast and High Performance Intrusion Detection System

Ahmim, A., & Ghoualmi‐Zine, N. (2013) · International Journal of Security and Its Applications · doi:10.14257/ijsia.2013.7.5.06 · Cited by 9

Analysis and Evaluation of Network-Based Intrusion Detection and Prevention System in an Enterprise Network Using Snort Freeware

Lawal, O. B., Ibitola, A., & Longe, O. B. (2013) · Cited by 9

Cyber-Crime Investigations: Complex Collaborative Decision Making

Bednár, P., Katos, V., & Hennell, C. (2008) · International Workshop on Digital Forensics and Incident Analysis (WDFIA) · doi:10.1109/wdfia.2008.7 · Cited by 9

An Evolution Strategy Approach toward Rule-set Generation for Network Intrusion Detection Systems (IDS)Preprint

Mbikayi, H. K. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1212.0170 · Cited by 9

Feature Engineering in Machine Learning-Based Intrusion Detection Systems for OT Networks

Howe, A., & Papa, M. (2023) · IEEE International Conference on Smart Computing · doi:10.1109/smartcomp58114.2023.00086 · Cited by 8

X-GANet: An Explainable Graph-Based Framework for Robust Network Intrusion Detection

Basak, M., Kim, D.-W., Han, M.-M., & Shin, G.-Y. (2025) · Applied Sciences · doi:10.3390/app15095002 · Cited by 12

PrivacyOracle: Configuring Sensor Privacy Firewalls with Large Language Models in Smart Built Environments

Wang, B., Garcia, L. A., & Srivastava, M. B. (2024) · IEEE Security and Privacy Workshops (SPW) · doi:10.1109/spw63631.2024.00028 · Cited by 8

Economic Analysis of Tradeoffs Between Security and Disaster Recovery

Gupta, M., Chaturvedi, A., & Mehta, S. R. (2011) · Communications of the Association for Information Systems · doi:10.17705/1cais.02801 · Cited by 8

A Survey of Intrusion Detection System Using Case Study Kuwait Governments Entities

Al-Enezi, K. A., Alshaikhli, I. F. T., Alkandari, A. A., & Al-Tayyar, L. Z. (2014) · International Conference on Advanced Computer Science Applications and Technologies · doi:10.1109/acsat.2014.14 · Cited by 8

Autonomous agent-based inspection for inter-VM traffic in a Cloud environment

Benzidane, K., Khoudali, S., & Sekkaki, A. (2012) · International Conference for Internet Technology and Secured Transactions · Cited by 8

Analysis of a Payload-based Network Intrusion Detection System Using Pattern Recognition Processors

Iqbal, I. M., & Calix, R. A. (2016) · International Conference on Collaboration Technologies and Systems (CTS) · doi:10.1109/cts.2016.0077 · Cited by 8

Mapping Security Requirements of Mobile Health Systems into Software Development Lifecycle

Al-Taee, M. A., Al‐Nuaimy, W., Muhsin, Z. J., Al-Ataby, A., & Al-Taee, A. (2016) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese.2016.16 · Cited by 8

Practical cybersecurity for protection and control system communications networks

Manson, S., & Anderson, D. (2017) · Record of conference papers/Record of conference papers - Petroleum and Chemical Industry Conference · doi:10.1109/pcicon.2017.8188738 · Cited by 8

Evaluating Challenge-Based Trust Mechanism in Medical Smartphone Networks: An Empirical Study

Meng, W., Fei, F., Li, W., & Au, M. H. (2017) · Globecom · doi:10.1109/glocom.2017.8254002 · Cited by 8

Scalable and Dynamic Network Intrusion Detection and Prevention System

Mahrach, S., Mjihil, O., & Haqiq, A. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-76354-5_29 · Cited by 8

Building an Information Technology Security Awareness and Training Program

Wilson, M., & Hash, J. (2003) · doi:10.6028/nist.sp.800-50 · Cited by 318

Contingency planning guide for information technology systems :

Swanson, M., Wohl, A., Pope, L., Grance, T., Hash, J., & Thomas, R. (2002) · doi:10.6028/nist.sp.800-34 · Cited by 30

Guide to test, training, and exercise programs for IT plans and capabilities

Grance, T., Nolan, T., Burke, K., Dudley, R., White, G., & Good, T. (2006) · doi:10.6028/nist.sp.800-84 · Cited by 41

Risk management guide for information technology systems :

Stoneburner, G., Goguen, A. Y., & Feringa, A. (2002) · doi:10.6028/nist.sp.800-30 · Cited by 1,357

DRAFT

Dworkin, M., Dworkin, M., Blank, R. M., Secretary, A., Gallagher, P. D., & -f, D. N. S. P. (2011)