Journal Information
Ad Hoc Networks
http://www.journals.elsevier.com/ad-hoc-networks/Impact Factor: |
4.111 |
Publisher: |
Elsevier |
ISSN: |
1570-8705 |
Viewed: |
20283 |
Tracked: |
34 |
Call For Papers
The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols
Last updated by Dou Sun in 2022-01-29
Special Issues
Special Issue on Performance Evaluation of Wireless Ad-Hoc and Ubiquitous NetworksSubmission Date: 2024-05-15Wireless ad-hoc networks have witnessed a fast growth period. Wireless ad-hoc networks are now implemented, deployed and tested, and this trend is likely to increase. This issue on performance evaluation of smart frameworks for Wireless Ad-Hoc Networks aims to open a critical debate on the evaluation of wireless ad-hoc networks. Guest editors: Mónica Aguilar Igartua, PhDUniversitat Politècnica de Catalunya (UC), Barcelona, SPAIN(Vehicular Networks, Smart Cities, Urban Mobility, Machine Learning) Luis J. De la Cruz Llopis, PhDUniversitat Politècnica de Catalunya (UC), Barcelona, SPAIN(Internet of Things, Vehicular Networks, Smart Cities, Wireless Networks) Thomas Begin, PhDUniversité Claude Bernard Lyon 1, Lyon, FRANCE(Computer Networks, Queueing Theory, Stochastic Modeling, Machine Learning)
Last updated by Dou Sun in 2023-09-20
Special Issue on AI-ZTIoT: AI-enabled Zero Trust for Security of IoT NetworksSubmission Date: 2024-05-15The Internet of Things (IoT) is a rapidly growing field that involves the interconnection of physical devices, vehicles, buildings, and other objects embedded with electronics, software, sensors, and connectivity. While IoT offers numerous benefits, such as increased efficiency and convenience, it also poses significant security risks. As IoT devices become more prevalent and connected, they become an attractive target for cyber attackers attempting to exploit vulnerabilities and compromise IoT networks. ------------ AI-based algorithms, including machine learning, deep learning, data mining, optimization, text mining, and network science, have been recently used in devising cybersecurity solutions. Existing AI-enabled cyber security, involving intrusion detection and prevention systems, security information and event management, firewalls, digital forensics, authentication, and privacy preservation, face challenges in discovering complex cyber attacks in IoT networks. ------------ One emerging approach to mitigate vulnerabilities and cyber attacks is zero trust security. Zero trust is a security model that assumes that all devices and users, both inside and outside the network, are untrusted and must be continuously verified before being granted access to resources. With the increasing adoption of AI-based cyber security solutions in IoT networks, the combination of AI and zero trust has the potential to create powerful cyber security solutions. ------------ This special issue seeks high-quality papers related to novel methods, algorithms, and methodologies related to developing AI-enabled zero trust for the security of IoT Networks. Topics of interest for this special issue include, but are not limited to: ------------ Guest editors: ------------ Nour Moustafa, PhDUniversity of New South Wales, Sydney, Australia ------------ Zahir Tari, PhDRMIT University, Melbourne, Australia ------------ Benjamin Turnbull, PhDUniversity of New South Wales, Sydney, Australia ------------ Hadis Karimipour, PhDUniversity of Calgary, Calgary, CANADA ------------ Zhiyuan Tan, PhDEdinburgh Napier University, Edinburgh, UK
Last updated by Dou Sun in 2023-11-18
Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
International Journal on AdHoc Networking Systems | AIRCC | 2249-2682 | ||
c | Security and Communication Networks | 1.288 | Hindawi | 1939-0122 |
b | ACM Transactions on Sensor Networks | ACM | 1550-4859 | |
IEEE Network | 8.808 | IEEE | 0890-8044 | |
b | Computer Networks | 4.474 | Elsevier | 1389-1286 |
b | Neural Networks | 8.050 | Elsevier | 0893-6080 |
International Journal of Distributed Sensor Networks | 1.787 | Hindawi | 1550-1329 | |
Network Security | Elsevier | 1353-4858 | ||
International Journal of Wireless & Mobile Networks | AIRCC | 0975-4679 | ||
Journal of Sensor and Actuator Networks | MDPI | 2224-2708 |
Full Name | Impact Factor | Publisher |
---|---|---|
International Journal on AdHoc Networking Systems | AIRCC | |
Security and Communication Networks | 1.288 | Hindawi |
ACM Transactions on Sensor Networks | ACM | |
IEEE Network | 8.808 | IEEE |
Computer Networks | 4.474 | Elsevier |
Neural Networks | 8.050 | Elsevier |
International Journal of Distributed Sensor Networks | 1.787 | Hindawi |
Network Security | Elsevier | |
International Journal of Wireless & Mobile Networks | AIRCC | |
Journal of Sensor and Actuator Networks | MDPI |
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