scholarly journals Botnet Defense System: Concept, Design, and Basic Strategy

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 516
Author(s):  
Shingo Yamaguchi
Keyword(s):  
Internet Of Things ◽  
Petri Net ◽  
Cyber Security ◽  
Command And Control ◽  
Adaptive Strategy ◽  
Security System ◽  
Concept Design ◽  
Defense System ◽  
Basic Strategy ◽  
And Control

This paper proposes a new kind of cyber-security system, named Botnet Defense System (BDS), which defends an Internet of Things (IoT) system against malicious botnets. The concept of BDS is “Fight fire with fire”. The distinguishing feature is that it uses white-hat botnets to fight malicious botnets. A BDS consists of four components: Monitor, Strategy Planner, Launcher, and Command and Control (C&C) server. The Monitor component watches over a target IoT system. If the component detects a malicious botnet, the Strategy Planner component makes a strategy against the botnet. Based on the planned strategy, the Launcher component sends white-hat worms into the IoT system and constructs a white-hat botnet. The C&C server component commands and controls the white-hat botnet to exterminate the malicious botnet. Strategy studies are essential to produce intended results. We proposed three basic strategies to launch white-hat worms: All-Out, Few-Elite, and Environment-Adaptive. We evaluated BDS and the proposed strategies through the simulation of agent-oriented Petri net model representing the battle between Mirai botnets and the white-hat botnets. This result shows that the Environment-Adaptive strategy is the best and reduced the number of needed white-hat worms to 38.5% almost without changing the extermination rate for Mirai bots.

Machine-Learning-Based White-Hat Worm Launcher in Botnet Defense System

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Machine Learning ◽  
Petri Net ◽  
Cyber Security ◽  
Large Scale ◽  
Security System ◽  
Divide And Conquer ◽  
Defense System ◽  
Divide And Conquer Algorithm

This article proposes a white-hat worm launcher based on machine learning (ML) adaptable to large-scale IoT network for Botnet Defense System (BDS). BDS is a cyber-security system that uses white-hat worms to exterminate malicious botnets. White-hat worms defend an IoT system against malicious bots, the BDS decides the number of white-hat worms, but there is no discussion on the white-hat worms' deployment in IoT network. Therefore, the authors propose a machine-learning-based launcher to launch the white-hat worms effectively along with a divide and conquer algorithm to deploy the launcher to large-scale IoT networks. Then the authors modeled BDS and the launcher with agent-oriented Petri net and confirmed the effect through the simulation of the PN2 model. The result showed that the proposed launcher can reduce the number of infected devices by about 30-40%.

scholarly journals Thriving on chaos: Proactive detection of command and control domains in internet of things‐scale botnets using DRIFT

2018 ◽  
Vol 30 (4) ◽  
pp. e3505 ◽  
Author(s):  
Jeffrey Spaulding ◽  
Jeman Park ◽  
Joongheon Kim ◽  
DaeHun Nyang ◽  
Aziz Mohaisen
Keyword(s):  
Internet Of Things ◽  
Command And Control ◽  
And Control

Visualization for cyber security command and control

2010 ◽  
Author(s):  
John T. Langton ◽  
Brent Newey ◽  
Paul R. Havig
Keyword(s):  
Cyber Security ◽  
Command And Control ◽  
And Control

scholarly journals IoT Masters Programs

2021 ◽  
pp. 53-57
Author(s):  
М.А. Держо ◽  
М.М. Лаврентьев ◽  
А.В. Шафаренко
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Information Technologies ◽  
Systems Design ◽  
Team Development ◽  
The Internet ◽  
Development Effort ◽  
Applied Math ◽  
And Control ◽  
The Internet Of Things

В данной работе обсуждаются фундаментальные вопросы разработки программ магистратуры в области Интернета вещей (Internet of Things — IoT). Мы кратко сравниваем предложения Сколтеха и Стэнфорда и утверждаем, что наиболее гибкое решение достигается посредством вводного блока и четырех параллельных потоков учебных курсов: обработка сигналов и управление, обучение машин и искусственный интеллект (ИИ), программирование и схемотехника платформ с применением микроконтроллеров, и, наконец, сети и кибербезопасность. Вводный блок предполагается оснастить достаточным количеством предметов по выбору, чтобы поступающие выпускники бакалавриата из областей прикладной математики, информационных технологий и электроники/телекоммуникаций могли приобрести необходимые знания для освоения потоковых курсов. Мы утверждаем, что еще одним необходимым отличием программы IoT должен явиться междисциплинарный групповой дипломный проект значительного объема, также основанный на потоковых курсах. This paper discusses the fundamentals of postgraduate curriculum development for the area of the Internet of Things (IoT). We provide a brief contrasting analysis of Skoltech and Stanford Masters programs and argue that the most flexible way forward is via the introduction of a leveling-off, elective introductory stage, and four parallel course streams: signal processing and control; Artificial Intelligence (AI), and machine learning; microcontroller systems design; and networks and cyber security. The leveling-off stage is meant to provide sufficient electives for graduates of applied math, Information Technologies (IT), or electronics/telecom degrees to learn the necessary fundamentals for the stream modules. We argue that another distinguishing feature of an IoT masters program is a large project drawing on the stream modules and requiring a multidisciplinary, team development effort.

Cyber Security in Tactical Network Infrastructure for Command and Control

2019 ◽  
pp. 1050-1079
Author(s):  
J. Sigholm
Keyword(s):  
Control Systems ◽  
Cyber Security ◽  
Best Practice ◽  
Research Question ◽  
Command And Control ◽  
Interdisciplinary Approach ◽  
Information And Communications Technology ◽  
Military Operations ◽  
Recent Developments ◽  
And Control

Emerging information and communications technology has had significant importance for military operations during the last decades. Development within such technology areas as sensors, computers, and wireless communications has allowed for faster and more efficient collection, transmission, storage, processing, analysis, and distribution of data. This has led to new and improved military capabilities within command and control, intelligence, targeting, and logistics. However, the increased complexity and interdependencies of networked systems, the continuously growing amounts of data, changing non-technical requirements, and evolving adversary threats makes upholding cyber security in command and control systems a challenging task. Although some best-practice approaches have been developed, finding good solutions for protecting critical infrastructure and important information assets is still an open research question requiring an interdisciplinary approach. This chapter describes recent developments within emerging network technology for command and control, and suggests focus areas where further research is needed in order to attain sufficient operational effect from the employed systems. While a gradual and evolutionary progress of military cyber security has been seen, a long-term commitment is required within such areas as procurement, standardization, training, doctrinal, and legal development, in order to achieve military utility of command and control systems.

scholarly journals Enabling Secure Guest Access for Command-and-Control of Internet of Things Devices

IoT ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 236-248
Author(s):  
Andrew John Poulter ◽  
Simon J. Cox
Keyword(s):  
Internet Of Things ◽  
Ad Hoc ◽  
Command And Control ◽  
Share Data ◽  
Iot Devices ◽  
And Control

Internet of Things (IoT) devices are becoming ubiquitous, and may be arranged to form formal or ad hoc Command and Control (C2) networks. Such networks typically do not have a mechanism to facilitate the sharing of either data or control inputs. This paper examines this problem in the context of IoT devices operating within C2 systems which do not have a trusted relationship with each other. We propose a solution which we call syndication, to provide a controlled mechanism to share data between C2 systems of devices without a fully trusted relationship. This paper builds upon previous work which established a lightweight protocol for secure C2 operations within the IoT. Using the proposed approach enables not only sharing of data but also permits the external controller to submit moderated requests for actions to be performed. The paper concludes by examining how this approach could also be adopted to provide secure guest access to connected systems in a domestic or commercial context.

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