Swarm Intelligence inspired Intrusion Detection Systems — A systematic literature review
出版年份 2022 全文链接
标题
Swarm Intelligence inspired Intrusion Detection Systems — A systematic literature review
作者
关键词
Swarm intelligence, Intrusion Detection, Network security, Data security
出版物
Computer Networks
Volume 205, Issue -, Pages 108708
出版商
Elsevier BV
发表日期
2022-01-04
DOI
10.1016/j.comnet.2021.108708
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
- (2020) Daniel Gibert et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT
- (2020) Junaid Arshad et al. Electronics
- Towards trustworthy Internet of Things: A survey on Trust Management applications and schemes
- (2020) Avani Sharma et al. COMPUTER COMMUNICATIONS
- An effect of chaos grasshopper optimization algorithm for protection of network infrastructure
- (2020) Shubhra Dwivedi et al. Computer Networks
- Intrusion detection system based on a modified binary grey wolf optimisation
- (2019) Qusay M. Alzubi et al. NEURAL COMPUTING & APPLICATIONS
- Designing collaborative blockchained signature-based intrusion detection in IoT environments
- (2019) Wenjuan Li et al. Future Generation Computer Systems-The International Journal of eScience
- A survey of network-based intrusion detection data sets
- (2019) Markus Ring et al. COMPUTERS & SECURITY
- Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog
- (2019) Nour Moustafa et al. IEEE Transactions on Information Forensics and Security
- Training a Neural Network for Cyberattack Classification Applications Using Hybridization of an Artificial Bee Colony and Monarch Butterfly Optimization
- (2019) Waheed A. H. M. Ghanem et al. NEURAL PROCESSING LETTERS
- Role of swarm and evolutionary algorithms for intrusion detection system: A survey
- (2019) Ankit Thakkar et al. Swarm and Evolutionary Computation
- Load Distributed and Benign-Bot Mitigation Methods for IoT DNS Flood Attacks
- (2019) Tasnuva Mahjabin et al. IEEE Internet of Things Journal
- An intelligent intrusion detection system for secure wireless communication using IPSO and negative selection classifier
- (2018) G. Bhuvaneswari et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms
- (2018) Adam Slowik et al. IEEE Transactions on Industrial Informatics
- A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization
- (2018) Mohammed Hasan Ali et al. IEEE Access
- An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs
- (2018) Ali Safaa Sadiq et al. IEEE Access
- A multi-objective evolutionary artificial bee colony algorithm for optimizing network topology design
- (2018) Amani Saad et al. Swarm and Evolutionary Computation
- A survey of swarm intelligence for portfolio optimization: Algorithms and applications
- (2018) Okkes Ertenlice et al. Swarm and Evolutionary Computation
- A survey of intrusion detection in Internet of Things
- (2017) Bruno Bogaz Zarpelão et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Computing with the collective intelligence of honey bees – A survey
- (2017) Anguluri Rajasekhar et al. Swarm and Evolutionary Computation
- A survey of swarm intelligence for dynamic optimization: Algorithms and applications
- (2017) Michalis Mavrovouniotis et al. Swarm and Evolutionary Computation
- Fuzzy particle swarm optimization algorithms for the open shortest path first weight setting problem
- (2016) Mohammad Aijaz Mohiuddin et al. APPLIED INTELLIGENCE
- Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset
- (2016) Constantinos Kolias et al. IEEE Communications Surveys and Tutorials
- TermID: a distributed swarm intelligence-based approach for wireless intrusion detection
- (2016) Constantinos Kolias et al. International Journal of Information Security
- Hadoop Based Parallel Binary Bat Algorithm for Network Intrusion Detection
- (2016) P. Natesan et al. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
- Fuzzy min–max neural network and particle swarm optimization based intrusion detection system
- (2016) Chandrashekhar Azad et al. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
- Evaluating Computer Intrusion Detection Systems
- (2015) Aleksandar Milenkoski et al. ACM COMPUTING SURVEYS
- Monarch butterfly optimization
- (2015) Gai-Ge Wang et al. NEURAL COMPUTING & APPLICATIONS
- A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint
- (2015) Shyam Sundar et al. SOFT COMPUTING
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- A novel SVM by combining kernel principal component analysis and improved chaotic particle swarm optimization for intrusion detection
- (2014) Fangjun Kuang et al. SOFT COMPUTING
- Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications
- (2012) Mehdi Neshat et al. ARTIFICIAL INTELLIGENCE REVIEW
- A comprehensive survey: artificial bee colony (ABC) algorithm and applications
- (2012) Dervis Karaboga et al. ARTIFICIAL INTELLIGENCE REVIEW
- Swarm optimisation algorithms applied to large balanced communication networks
- (2012) Eugénia Moreira Bernardino et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Intrusion detection system: A comprehensive review
- (2012) Hung-Jen Liao et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A fuzzy particle swarm optimization algorithm for computer communication network topology design
- (2010) Salman A. Khan et al. APPLIED INTELLIGENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now