What Is an IoT Device?
It’s a physical object that connects to the Internet. It can be a fitness tracker, a thermostat, a lock or appliance – even a light bulb.
Imagine shoes that track your heartbeat… and can flag potential health problems. You don’t have to imagine – these “smart” shoes already exist!
How Will It Affect Me?
The Internet of Things has arrived and it’s going to introduce incredible opportunity over the next five years. And while smart things are exactly that, the IoT industry has a long way to go in terms of overall security. Many of today’s IoT devices are rushed to market with little consideration for basic security and privacy protections: “Insecurity by design.”
This puts you and everyone else at risk: from unwittingly being spied on or having your data compromised to being unable to lock your own home. You could even become part of a botnet that attacks the Internet. Your insecure webcam – along with millions of others – could be used to attack the power grid of an entire country.
From dental sensors that can monitor what a person eats to kitty litters that can track a cat’s every movement, it can be difficult to sort fact from fiction when it comes to the Internet of Things. Can you tell which is real and which is not?
Read More
The document discusses security issues and requirements for privacy and security in Internet of Things (IoT) architectures. It describes various viewpoints on IoT security issues such as lightweight encryption needs for sensor nodes, authentication challenges, and privacy leaks. It also outlines solutions proposed by different researchers, including identity authentication mechanisms, data encryption, intrusion detection systems, and security protocols tailored for resource-constrained IoT devices and networks.
Helpful survey for researchers and students who are intended to investigate in the Internet of things field in term of security and privacy side. This survey has general overview in security issues with the solutions addressed these issues.
Computer networks connect devices through communication systems. Network security aims to protect information and allow authorized access. It involves authentication of users, monitoring network traffic for intrusions, and other strategies. Intrusion detection systems monitor for suspicious activity and notify administrators. There are different types of intrusion detection including network-based and host-based systems. Penetration testing evaluates security by simulating attacks. Cryptography also helps secure networks through techniques like public key encryption, hashing, and key exchange algorithms.
The document provides an overview of cyber security concepts including definitions of cyber security, hackers, and types of cyber attacks such as web-based attacks, system-based attacks, and common attack methods like phishing, brute force attacks, and denial of service attacks. It also discusses cyber security defenses, tools, and strategies such as firewalls, antivirus software, intrusion detection systems, access controls, encryption, employee training, and security audits. Key terms like ports, IP addresses, port scanning, security operations centers (SOCs), zero-trust models, and ethical hacking are also defined.
Detecting and Preventing Attacks Using Network Intrusion Detection SystemsCSCJournals
Intrusion detection is an important technology in business sector as well as an active area of research. It is an important tool for information security. A Network Intrusion Detection System is used to monitor networks for attacks or intrusions and report these intrusions to the administrator in order to take evasive action. Today computers are part of networked; distributed systems that may span multiple buildings sometimes located thousands of miles apart. The network of such a system is a pathway for communication between the computers in the distributed system. The network is also a pathway for intrusion. This system is designed to detect and combat some common attacks on network systems. It follows the signature based IDs methodology for ascertaining attacks. A signature based IDS will monitor packets on the network and compare them against a database of signatures or attributes from known malicious threats. It has been implemented in VC++. In this system the attack log displays the list of attacks to the administrator for evasive action. This system works as an alert device in the event of attacks directed towards an entire network.
The document discusses the key components of an Internet of Things (IoT) architecture. It describes the five layers of an IoT architecture: perception layer, object abstraction layer, service management layer, application layer, and business layer. It also discusses the key elements that enable IoT such as things, gateways, data streaming processors, data lakes, data warehouses, data analysts, machine learning models, and control applications. Security is an important consideration for IoT architectures and the requirements vary across the different layers.
Architectural Layers of Internet of Things: Analysis of Security Threats and ...Scientific Review SR
A pervasive network architecture that interconnect heterogeneous objects, devices, technologies and services called
Internet of Things has prompted a drastic change in demand of smart devices which in turn has increased the rate of
data exchange. These smart devices are built with numerous sensors which collect information from other interacting
devices, process it and send it to remote locations for storage or further processing. Although this mechanism of data
processing and sharing has contributed immensely to the information world, it has recently posed high security risk
on privacy and data confidentiality. This paper therefore analyses different security threats to data at different
architectural layers of Internet of Things, possible countermeasures and other in-depth security measures for Internet
of Things. The paper identifies device authentication on IoT network to be of paramount impo rtance in securing IoT
systems. This paper also suggests some essential technologies of security such as encryption for securing IoT
devices and the data shared over IoT network
The document discusses security issues and requirements for privacy and security in Internet of Things (IoT) architectures. It describes various viewpoints on IoT security issues such as lightweight encryption needs for sensor nodes, authentication challenges, and privacy leaks. It also outlines solutions proposed by different researchers, including identity authentication mechanisms, data encryption, intrusion detection systems, and security protocols tailored for resource-constrained IoT devices and networks.
Helpful survey for researchers and students who are intended to investigate in the Internet of things field in term of security and privacy side. This survey has general overview in security issues with the solutions addressed these issues.
Computer networks connect devices through communication systems. Network security aims to protect information and allow authorized access. It involves authentication of users, monitoring network traffic for intrusions, and other strategies. Intrusion detection systems monitor for suspicious activity and notify administrators. There are different types of intrusion detection including network-based and host-based systems. Penetration testing evaluates security by simulating attacks. Cryptography also helps secure networks through techniques like public key encryption, hashing, and key exchange algorithms.
The document provides an overview of cyber security concepts including definitions of cyber security, hackers, and types of cyber attacks such as web-based attacks, system-based attacks, and common attack methods like phishing, brute force attacks, and denial of service attacks. It also discusses cyber security defenses, tools, and strategies such as firewalls, antivirus software, intrusion detection systems, access controls, encryption, employee training, and security audits. Key terms like ports, IP addresses, port scanning, security operations centers (SOCs), zero-trust models, and ethical hacking are also defined.
Detecting and Preventing Attacks Using Network Intrusion Detection SystemsCSCJournals
Intrusion detection is an important technology in business sector as well as an active area of research. It is an important tool for information security. A Network Intrusion Detection System is used to monitor networks for attacks or intrusions and report these intrusions to the administrator in order to take evasive action. Today computers are part of networked; distributed systems that may span multiple buildings sometimes located thousands of miles apart. The network of such a system is a pathway for communication between the computers in the distributed system. The network is also a pathway for intrusion. This system is designed to detect and combat some common attacks on network systems. It follows the signature based IDs methodology for ascertaining attacks. A signature based IDS will monitor packets on the network and compare them against a database of signatures or attributes from known malicious threats. It has been implemented in VC++. In this system the attack log displays the list of attacks to the administrator for evasive action. This system works as an alert device in the event of attacks directed towards an entire network.
The document discusses the key components of an Internet of Things (IoT) architecture. It describes the five layers of an IoT architecture: perception layer, object abstraction layer, service management layer, application layer, and business layer. It also discusses the key elements that enable IoT such as things, gateways, data streaming processors, data lakes, data warehouses, data analysts, machine learning models, and control applications. Security is an important consideration for IoT architectures and the requirements vary across the different layers.
Architectural Layers of Internet of Things: Analysis of Security Threats and ...Scientific Review SR
A pervasive network architecture that interconnect heterogeneous objects, devices, technologies and services called
Internet of Things has prompted a drastic change in demand of smart devices which in turn has increased the rate of
data exchange. These smart devices are built with numerous sensors which collect information from other interacting
devices, process it and send it to remote locations for storage or further processing. Although this mechanism of data
processing and sharing has contributed immensely to the information world, it has recently posed high security risk
on privacy and data confidentiality. This paper therefore analyses different security threats to data at different
architectural layers of Internet of Things, possible countermeasures and other in-depth security measures for Internet
of Things. The paper identifies device authentication on IoT network to be of paramount impo rtance in securing IoT
systems. This paper also suggests some essential technologies of security such as encryption for securing IoT
devices and the data shared over IoT network
Presentation about IoT in media and communication.pdfezzAyman1
This document provides an overview of IoT (Internet of Things) in media, known as IoMT. It discusses the introduction and key components of IoMT, including devices, sensors, connectivity, data processing, and user interfaces. Applications of IoMT in areas like smart TVs, streaming devices, wearables and connected audio are also covered. The document outlines challenges of IoMT like lack of encryption, insufficient testing/updating, and default passwords. It proposes solutions such as changing passwords, keeping software updated, using strong authentication and securing home networks. Future trends involving edge computing, 5G integration, AI/ML and applications in healthcare and agriculture are presented before concluding.
Network Attacks - (Information Assurance and Security)BS in Information Techn...SyvilMaeTapinit
Network attacks are unauthorized actions that target digital assets within an organizational network. There are two main types: passive attacks that involve monitoring networks to steal data without alterations, and active attacks that modify, encrypt, or damage data. Common network attacks include unauthorized access, distributed denial of service attacks, man-in-the-middle attacks, SQL injection attacks, privilege escalation, and insider threats. Organizations can help protect their networks through measures like network segmentation, regulating internet access, strategic security device placement, network address translation, traffic monitoring, and isolating different network components physically or logically.
This document summarizes various soft computing techniques that can be used for intrusion detection, including fuzzy logic, graph-based approaches, and neural networks. Fuzzy logic can be used to classify parameters and detect anomalies by comparing normal and new fuzzy association rule sets. Graph-based approaches model network traffic as graphs of nodes and edges and use clustering algorithms to detect anomalies. Neural networks can be trained on audit log data to recognize normal behavior and detect deviations that may indicate attacks. These soft computing methods aim to improve on signature-based detection by learning patterns of normal network activity and detecting anomalies.
The document provides an overview of a presentation on the topic of Internet of Things (IoT). It discusses what IoT is, how IoT works, the current status and future prospects of IoT, applications of IoT, and technological challenges of IoT. It outlines the presentation flow and includes sections on teaching schemes, units of the course, definitions of key concepts like IoT and how it works, examples of IoT applications, and the future potential of IoT.
Detecting and Confronting Flash Attacks from IoT BotnetsFarjad Noor
This document discusses detecting and confronting flash attacks from IoT botnets. It begins by providing background on the Internet of Things and how IoT devices are increasingly being compromised to form botnets. It then describes the architecture of the Mirai malware, which uses a scanner to find vulnerable IoT devices and a command-and-control server to direct attacks. The document proposes using a sparse autoencoder neural network to detect IoT botnets by analyzing network traffic patterns. It also details methods to detect cryptojacking activities on infected devices by analyzing network protocols and abnormal resource usage. Finally, it discusses setting up a Mirai botnet on a virtual private server to further study flash attacks and confrontations.
Malware Hunter: Building an Intrusion Detection System (IDS) to Neutralize Bo...Editor IJCATR
Among the various forms of malware attacks such as Denial of service, Sniffer, Buffer overflows are the most dreaded threats to computer networks. These attacks are known as botnet attacks and self-propagating in nature and act as an agent or user interface to control the computers which they attack. In the process of controlling a malware, Bot header(s) use a program to control remote systems through internet with the help of zombie systems. Botnets are collection of compromised computers (Bots) which are remotely controlled by its originator (Bot-Master) under a common Command-and-Control (C&C) structure. A server commands to the bot and botnet and receives the reports from the bot. The bots use Trojan horses and subsequently communicate with a central server using IRC. Botnet employs different techniques like Honeypot, communication protocols (e.g. HTTP and DNS) to intrude in new systems in different stages of their lifecycle. Therefore, identifying the botnets has become very challenging; because the botnets are upgrading their methods periodically for affecting the networks. Here, the focus on addressing the botnet detection problem in an Enterprise Network
This research introduces novel Solution to mitigate the malicious activities of Botnet attacks through the Principle of component analysis of each traffic data, measurement and countermeasure selection mechanism called Malware Hunter. This system is built on attack graph-based analytical models based on classification process and reconfigurable through update solutions to virtual network-based countermeasures.
The document discusses network infrastructure security and demilitarized zones (DMZs). It defines network infrastructure security as protecting networking devices and data from unauthorized access. A DMZ is described as an isolated network separated from both the internal network and the internet by firewalls. This allows public-facing servers to be accessible from the internet in a more secure manner, separate from the internal network. The document provides examples of configuring a DMZ using different IP addressing schemes and one or two firewalls.
IoT Device Security
The document discusses IoT device security. It defines IoT devices as electronic devices connected to the internet, with sensors, controllers, and ability to connect to the internet. Examples include smart home devices. There are growing security risks as the number of IoT devices surpasses the human population and more personal/industrial devices connect. Common vulnerabilities include weak passwords, unsecured network services/interfaces, lack of updates, and privacy/data issues. The document outlines defensive measures and analyzes the 2016 Dyn botnet DDoS attack, where the Mirai malware infected insecure IoT devices to launch large-scale attacks.
The document provides an overview and comparison of several IoT security frameworks: Infoblox, Fortinet, Digicert, Inside Secure, and ARM PSA. Infoblox uses DNS, DHCP, and IPAM to discover and monitor connected devices. Fortinet uses a fabric-based approach to learn about, segment, and protect IoT devices. Digicert advocates for using PKI to ensure data confidentiality, integrity, and availability. Inside Secure divides security into authentication, secure communication, secure execution, and secure storage. ARM PSA provides specifications for secure hardware, firmware, and software in resource-constrained IoT devices.
Network security involves protecting computer networks and systems from unauthorized access, theft of or damage to hardware, software or electronic data. The chapter discusses network security basics, threats like cyberattacks and phishing, vulnerabilities from weaknesses in TCP/IP protocols and buffer overflows. It also covers network security protocols like IPsec, SSL/TLS, and wireless encryption methods like WEP, WPA, and WPA2 that are used to secure wireless networks and encrypt data transmitted over them. Administrative, technical and physical controls help defend networks against various security risks and assure network integrity and safety.
This document discusses Internet of Things (IoT) forensics. It begins with an overview of IoT, including its key characteristics and architecture. It then discusses digital forensics and how IoT forensics deals with cybercrimes across the three layers of an IoT system. It identifies categories of evidence for IoT crime scenes, including smart devices, hardware/software, and external resources. It outlines security challenges for IoT like authentication, updates, and privacy. Finally, it discusses the scope of IoT forensics work, including evidence identification, analysis, and attack attribution.
Presentation of "State of the Art of IoT Honeypots" technical report developed for the Seminar in Advanced Topics in Computer Science course of the Master Degree in Engineering in Computer Science curriculum in Cyber Security at University of Rome "La Sapienza".
Link: https://www.slideshare.net/secret/EfL8YbinRZjDPS
This document discusses information system security. It defines information system security as collecting activities to protect information systems and stored data. It outlines four components of an IT security policy framework: policies, standards, procedures, and guidelines. It also discusses vulnerabilities, threats, attacks, and trends in attacks. Vulnerabilities refer to weaknesses, while threats use tools and scripts to launch attacks like reconnaissance, access, denial of service, and viruses/Trojans. Common attacks trends include malware, phishing, ransomware, denial of service, man-in-the-middle, cryptojacking, SQL injection, and zero-day exploits.
This document discusses security issues with the Dynamic Host Configuration Protocol (DHCP) and proposes four approaches to address them. DHCP is vulnerable to spoofing and denial of service attacks because it lacks authentication. Attackers can send fake DHCP packets that cause clients to obtain incorrect IP addresses or default gateways. The four approaches proposed are: 1) DHCP snooping to filter unauthorized DHCP packets, 2) DHCP authentication using cryptographic keys, 3) Secure DHCP (S-DHCP) which adds digital signatures to packets, and 4) DHCP authentication via RADIUS. Each approach aims to authenticate DHCP messages to prevent spoofing and denial of service attacks. However, they differ in implementation complexity and adoption challenges.
This document reviews cryptography techniques to secure the Ad-hoc On-Demand Distance Vector (AODV) routing protocol in mobile ad-hoc networks. It discusses various types of attacks on AODV like impersonation, denial of service, eavesdropping, black hole attacks, wormhole attacks, and Sybil attacks. It then proposes using the RC6 cryptography algorithm to secure AODV by encrypting data packets and detecting and removing malicious nodes launching black hole attacks. Simulation results show that after applying RC6, the packet delivery ratio and throughput of AODV increase while delay decreases, improving the security and performance of the network under attack.
Prafful Rajendrasingh Patil discusses security issues in internet of things (IoT) device update management in his course. He outlines how IoT devices are connected to central command and control hubs for software updates and management, but this structure introduces vulnerabilities if devices are using outdated software or weak authentication. Common security threats to IoT devices include man-in-the-middle attacks targeting application programming interfaces, theft of user data from unsecured devices, and use of infected devices in large botnets for distributed denial-of-service attacks. Addressing these issues requires improving software and communication security as well as access controls on IoT devices.
The Internet of Things (IoT) is thriving network of smart objects where one physical object can exchange information with another physical object. In today’s Internet of Things (IoT) the interest is the concealment and security of data in a network. The obtrusion into Internet of Things (IoT) exposes the extent with which the internet of things is vulnerable to attacks and how such attack can be detected to prevent extreme damage. It emphasises on threats, vulnerability, attacks and possible methods of detecting intruders to stop the system from further destruction, this paper proposes a way out of the impending security situation of Internet of things using IPV6 Low -power wireless personal Area Network.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Presentation about IoT in media and communication.pdfezzAyman1
This document provides an overview of IoT (Internet of Things) in media, known as IoMT. It discusses the introduction and key components of IoMT, including devices, sensors, connectivity, data processing, and user interfaces. Applications of IoMT in areas like smart TVs, streaming devices, wearables and connected audio are also covered. The document outlines challenges of IoMT like lack of encryption, insufficient testing/updating, and default passwords. It proposes solutions such as changing passwords, keeping software updated, using strong authentication and securing home networks. Future trends involving edge computing, 5G integration, AI/ML and applications in healthcare and agriculture are presented before concluding.
Network Attacks - (Information Assurance and Security)BS in Information Techn...SyvilMaeTapinit
Network attacks are unauthorized actions that target digital assets within an organizational network. There are two main types: passive attacks that involve monitoring networks to steal data without alterations, and active attacks that modify, encrypt, or damage data. Common network attacks include unauthorized access, distributed denial of service attacks, man-in-the-middle attacks, SQL injection attacks, privilege escalation, and insider threats. Organizations can help protect their networks through measures like network segmentation, regulating internet access, strategic security device placement, network address translation, traffic monitoring, and isolating different network components physically or logically.
This document summarizes various soft computing techniques that can be used for intrusion detection, including fuzzy logic, graph-based approaches, and neural networks. Fuzzy logic can be used to classify parameters and detect anomalies by comparing normal and new fuzzy association rule sets. Graph-based approaches model network traffic as graphs of nodes and edges and use clustering algorithms to detect anomalies. Neural networks can be trained on audit log data to recognize normal behavior and detect deviations that may indicate attacks. These soft computing methods aim to improve on signature-based detection by learning patterns of normal network activity and detecting anomalies.
The document provides an overview of a presentation on the topic of Internet of Things (IoT). It discusses what IoT is, how IoT works, the current status and future prospects of IoT, applications of IoT, and technological challenges of IoT. It outlines the presentation flow and includes sections on teaching schemes, units of the course, definitions of key concepts like IoT and how it works, examples of IoT applications, and the future potential of IoT.
Detecting and Confronting Flash Attacks from IoT BotnetsFarjad Noor
This document discusses detecting and confronting flash attacks from IoT botnets. It begins by providing background on the Internet of Things and how IoT devices are increasingly being compromised to form botnets. It then describes the architecture of the Mirai malware, which uses a scanner to find vulnerable IoT devices and a command-and-control server to direct attacks. The document proposes using a sparse autoencoder neural network to detect IoT botnets by analyzing network traffic patterns. It also details methods to detect cryptojacking activities on infected devices by analyzing network protocols and abnormal resource usage. Finally, it discusses setting up a Mirai botnet on a virtual private server to further study flash attacks and confrontations.
Malware Hunter: Building an Intrusion Detection System (IDS) to Neutralize Bo...Editor IJCATR
Among the various forms of malware attacks such as Denial of service, Sniffer, Buffer overflows are the most dreaded threats to computer networks. These attacks are known as botnet attacks and self-propagating in nature and act as an agent or user interface to control the computers which they attack. In the process of controlling a malware, Bot header(s) use a program to control remote systems through internet with the help of zombie systems. Botnets are collection of compromised computers (Bots) which are remotely controlled by its originator (Bot-Master) under a common Command-and-Control (C&C) structure. A server commands to the bot and botnet and receives the reports from the bot. The bots use Trojan horses and subsequently communicate with a central server using IRC. Botnet employs different techniques like Honeypot, communication protocols (e.g. HTTP and DNS) to intrude in new systems in different stages of their lifecycle. Therefore, identifying the botnets has become very challenging; because the botnets are upgrading their methods periodically for affecting the networks. Here, the focus on addressing the botnet detection problem in an Enterprise Network
This research introduces novel Solution to mitigate the malicious activities of Botnet attacks through the Principle of component analysis of each traffic data, measurement and countermeasure selection mechanism called Malware Hunter. This system is built on attack graph-based analytical models based on classification process and reconfigurable through update solutions to virtual network-based countermeasures.
The document discusses network infrastructure security and demilitarized zones (DMZs). It defines network infrastructure security as protecting networking devices and data from unauthorized access. A DMZ is described as an isolated network separated from both the internal network and the internet by firewalls. This allows public-facing servers to be accessible from the internet in a more secure manner, separate from the internal network. The document provides examples of configuring a DMZ using different IP addressing schemes and one or two firewalls.
IoT Device Security
The document discusses IoT device security. It defines IoT devices as electronic devices connected to the internet, with sensors, controllers, and ability to connect to the internet. Examples include smart home devices. There are growing security risks as the number of IoT devices surpasses the human population and more personal/industrial devices connect. Common vulnerabilities include weak passwords, unsecured network services/interfaces, lack of updates, and privacy/data issues. The document outlines defensive measures and analyzes the 2016 Dyn botnet DDoS attack, where the Mirai malware infected insecure IoT devices to launch large-scale attacks.
The document provides an overview and comparison of several IoT security frameworks: Infoblox, Fortinet, Digicert, Inside Secure, and ARM PSA. Infoblox uses DNS, DHCP, and IPAM to discover and monitor connected devices. Fortinet uses a fabric-based approach to learn about, segment, and protect IoT devices. Digicert advocates for using PKI to ensure data confidentiality, integrity, and availability. Inside Secure divides security into authentication, secure communication, secure execution, and secure storage. ARM PSA provides specifications for secure hardware, firmware, and software in resource-constrained IoT devices.
Network security involves protecting computer networks and systems from unauthorized access, theft of or damage to hardware, software or electronic data. The chapter discusses network security basics, threats like cyberattacks and phishing, vulnerabilities from weaknesses in TCP/IP protocols and buffer overflows. It also covers network security protocols like IPsec, SSL/TLS, and wireless encryption methods like WEP, WPA, and WPA2 that are used to secure wireless networks and encrypt data transmitted over them. Administrative, technical and physical controls help defend networks against various security risks and assure network integrity and safety.
This document discusses Internet of Things (IoT) forensics. It begins with an overview of IoT, including its key characteristics and architecture. It then discusses digital forensics and how IoT forensics deals with cybercrimes across the three layers of an IoT system. It identifies categories of evidence for IoT crime scenes, including smart devices, hardware/software, and external resources. It outlines security challenges for IoT like authentication, updates, and privacy. Finally, it discusses the scope of IoT forensics work, including evidence identification, analysis, and attack attribution.
Presentation of "State of the Art of IoT Honeypots" technical report developed for the Seminar in Advanced Topics in Computer Science course of the Master Degree in Engineering in Computer Science curriculum in Cyber Security at University of Rome "La Sapienza".
Link: https://www.slideshare.net/secret/EfL8YbinRZjDPS
This document discusses information system security. It defines information system security as collecting activities to protect information systems and stored data. It outlines four components of an IT security policy framework: policies, standards, procedures, and guidelines. It also discusses vulnerabilities, threats, attacks, and trends in attacks. Vulnerabilities refer to weaknesses, while threats use tools and scripts to launch attacks like reconnaissance, access, denial of service, and viruses/Trojans. Common attacks trends include malware, phishing, ransomware, denial of service, man-in-the-middle, cryptojacking, SQL injection, and zero-day exploits.
This document discusses security issues with the Dynamic Host Configuration Protocol (DHCP) and proposes four approaches to address them. DHCP is vulnerable to spoofing and denial of service attacks because it lacks authentication. Attackers can send fake DHCP packets that cause clients to obtain incorrect IP addresses or default gateways. The four approaches proposed are: 1) DHCP snooping to filter unauthorized DHCP packets, 2) DHCP authentication using cryptographic keys, 3) Secure DHCP (S-DHCP) which adds digital signatures to packets, and 4) DHCP authentication via RADIUS. Each approach aims to authenticate DHCP messages to prevent spoofing and denial of service attacks. However, they differ in implementation complexity and adoption challenges.
This document reviews cryptography techniques to secure the Ad-hoc On-Demand Distance Vector (AODV) routing protocol in mobile ad-hoc networks. It discusses various types of attacks on AODV like impersonation, denial of service, eavesdropping, black hole attacks, wormhole attacks, and Sybil attacks. It then proposes using the RC6 cryptography algorithm to secure AODV by encrypting data packets and detecting and removing malicious nodes launching black hole attacks. Simulation results show that after applying RC6, the packet delivery ratio and throughput of AODV increase while delay decreases, improving the security and performance of the network under attack.
Prafful Rajendrasingh Patil discusses security issues in internet of things (IoT) device update management in his course. He outlines how IoT devices are connected to central command and control hubs for software updates and management, but this structure introduces vulnerabilities if devices are using outdated software or weak authentication. Common security threats to IoT devices include man-in-the-middle attacks targeting application programming interfaces, theft of user data from unsecured devices, and use of infected devices in large botnets for distributed denial-of-service attacks. Addressing these issues requires improving software and communication security as well as access controls on IoT devices.
The Internet of Things (IoT) is thriving network of smart objects where one physical object can exchange information with another physical object. In today’s Internet of Things (IoT) the interest is the concealment and security of data in a network. The obtrusion into Internet of Things (IoT) exposes the extent with which the internet of things is vulnerable to attacks and how such attack can be detected to prevent extreme damage. It emphasises on threats, vulnerability, attacks and possible methods of detecting intruders to stop the system from further destruction, this paper proposes a way out of the impending security situation of Internet of things using IPV6 Low -power wireless personal Area Network.
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Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
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AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
2. Course Outline
• Ovirview of Embedded system
• Overview vof IoT
• Components of IoT
• Introduction to Pi
• Basic operations of Pi
• Connecting Pi in a network
• Controlling a basic LED from Pi
• Introduction to python
• Controlling GPIO using python
• Understanding Basic Network
model(TCP)
• Communication between two
pi using sockets
• Understanding IoT broker
• Installing MQTT and using it
with Pi.
• Communication using MQTT
and CloudMQTT (Internet)
• Controlling sensors using Pi
• Introduction to Android app
development
• Controlling sensors using
Android app
3. Overview of Embedded system
Embedded system is a microcontroller based ,
software driven reliable real time control system
designed for performing a specific task.
What is a System?
All units assembled work together according to
certain set of rules.
What is Embedded?
Something attached to another. Computer
Hardware system with software embedded in it.
6. Basic types of processors..
• General Purpose Processor
• Microprocessor
• Microcontroller
• Embedded processor
• Digital signal processor
• Application specific system processor
10. Your First Few Instructions
mov x, y x ← y
and x, y x ← x and y
or x, yx ← x or y
xor x, y x ← x xor y
add x, y x ← x + y
sub x, y x ← x – y
inc x x ← x + 1
dec x x ← x – 1
syscallInvoke an operating system routine
db A pseudo-instruction that declares bytes that will be in
memory when the program runs
12. What is IoT?
Internet of Things (IoT) is an ecosystem of
connected physical objects that are
accessible through the internet.
The ‘thing’ in IoT could be a person with
a heart monitor or an automobile with
built-in-sensors, i.e. objects that have been
assigned an IP address and have the
ability to collect and transfer data over a
network without manual assistance or
intervention.
14. • Identification
• Naming
• Addressing
• Sensing:
• Collected information is sent to storage media
• actuators, RFID tags, smart sensors, wearable sensing devices, etc.
• Computation
• Used to remove unnecessary information that is not needed.
• Services
• Four types of services
• identity-related service. It is used to get the identity of objects that have sent the
request.
• Information aggregation is another service whose purpose is to collect all the
information from objects.
• The third service is a collaborative service that makes decisions according to the
collected information and sends appropriate responses to the devices.
• The last service is ubiquitous service, which is used to respond the devices immediately
without rigidity about time and place.
16. Common security threats of perception layer are:
Eavesdropping: Eavesdropping is an unauthorized real-time attack where private communications, such as phone calls,
text messages, fax transmissions or video conferences are intercepted by an attacker. It tries to steal information that is
transmitted over a network.
It takes advantage of unsecure transmission to access the information being sent and received.
Node Capture: It is one of the hazardous attacks faced in the perception layer of IoT. An attacker gains full control over a
key node, such as a gateway node. It may leak all information including communication between sender and receiver, a
key used to make secure communication and information stored in memory
Fake Node and Malicious: It is an attack in which an attacker adds a node to the system and inputs fake data. It aims to
stop transmitting real information. A node added by an attacker consumes precious energy of real nodes and potentially
control in order to destroy the network.
Replay Attack: It is also known as a play back attack. It is an attack in which an intruder eavesdrops on the conservation
between sender and receiver and takes authentic information from the sender
17. Network Layer:
Common security threats and problems to network layers are:
Denial of Service (DoS) Attack: A DoS attack is an attack to prevent authentic users from accessing devices or other
network resources. It is typically accomplished by flooding the targeted devices or network resources with redundant
requests in an order to make it impossible or difficult for some or all authentic users to use them
Main-in-The-Middle (MiTM) Attack: MiTM attack is an attack where the attacker secretly intercepts and alters the
communication between sender and receiver who believe they are directly communicating with each other
Storage Attack: The information of users is stored on storage devices or the cloud. Both storage devices and cloud can
be attacked by the attacker and user’s information may be changed to incorrect details. The replication of information
associated with the access of other information by different types of people provides more chances for attacks.
Exploit Attack: An exploit is any immoral or illegal attack in a form of software, chunks of data or a sequence of
commands. It takes advantage of security vulnerabilities in an application, system or hardware. It usually comes with the
aim of gaining control of the system and steals information stored on a network [
18. Application Layer
Common security threats and problem of application layer are:
Cross Site Scripting: It is an injection attack. It enables an attacker to insert a client-side script, such as java script in a
trusted site viewed other users. By doing so, an attacker can completely change the contents of the application according to
his needs and use original information in an illegal way.
Malicious Code Attack: It is a code in any part of software intended to cause undesired effects and damage to the system. It
is a type of threat that may not be blocked or controlled by the use of anti-virus tools. It can either activate itself or be like a
program requiring a user’s attention to perform an action.
The ability of dealing with Mass Data: Due to a large number of devices and a massive amount of data transmission
between users, it has no ability to deal with data processing according to the requirements. As a result, it leads to network
disturbance and data loss.
19.
20. Support Layer:
The support layer has two responsibilities.
• It confirms that information is sent by the authentic users and protected from threats. There are many ways
to verify the users and the information. The most commonly used method is the authentication. It is
implemented by using pre-shared secrets, keys and passwords.
• The second responsibility of the support layer is sending information to the network layer. The medium to
transmit information from the support layer to network layer can be wireless and wire based.
• Common threats and problems of the support layer are
• DoS Attack: The DoS attack in a support layer is related to the network layer. An attacker sends a large
amount of data to make network traffic inundated. Thus, the massive consumption of system resources
exhausts the IoT and makes the user not capable of accessing the system.
• Malicious Insider Attack: It occurs from the inside of an IoT environment to access the personal
information of users. It is performed by an authorized user to access the information of other user. It is a
very different and complex attack that requires different mechanisms to prevent the threat
21. It is the responsibility of IoT to facilitate users by performing their tasks. It is the most important
element of IoT to fulfill its responsibilities. It acts like the brain of IoT. It gets all information and makes
appropriate decisions to send responses to the devices.
30. Difference between M2M and IoT
Area IoT M2M
Communication Protocols Focus of communication in IoT is usually
on the protocols above the network
layer such as HTTP,CoAP,MQTT, etc.
Uses propreitary on non IP based
communication protocols for
communication within M2M networks.
eg. ZIGBEE,6LoWPAN,Bluetooth etc.
Machines in M2M vs things in IoT Things in IoT referes to physical objects
that have unique identifiers and can
sense and communicate with their
external environment or their internal
physical states. The unique identifiers
are the IP(or MAC). Things have software
components for accessing,processing
and storing sensor information.
31. Area IoT M2M
Hardware vs Software emphasis More on software More on Hardware
Data Collection and Analysis data collected on cloud Data collected in point solutions
33. IoT Communication API
REST-Based Communication API (Representational State Transfer)
• Set of architectural principlas by which web services/API can be designed that focus
on system resources and how resources states are addressed and transferred.
• Follows the REQUEST-RESPONSE communication model.
• REST architectural constraints :
• Client-Server:
• Stateless
• Cache-able
• Layered System
• Uniform Interface
• Code on Demand
34. Client-Server:
Constraint of seperation of concerns.
Clients should not be concerned with storage of data which is a concern of server.
Server should not be concerned about the user interface which is a concern of client.
Seperation allows client and server to be independently developed
Stateless:
Each request from client to server must contain all the information necessary to understand the
request and cannot take advantage of any stored context on the server.
Cache-able:
Cache constraint requires that the data within a response to a request be implicitly or explicitly be
labeled as cache-abled or non-cache-abled.
If a response is cache-able,then a client-cache is given the right to reuse that response data for
later,equivalent requests.
Layered System:
constraints the behaviour of components such that each component cannot see beyond the
immediate layer with which they are interacting. For eg. a client cannot say if it is directly
connected to the end server or through an intermediate.
35. Uniform Interface:
Requires that the method of communication between a client and server is uniform.
Resources are identified in the requests.
Each message includes enough information to describe how to process the message.
Code on Demand:
Servers can provide executable code or scripts for clients to execute in their contexts.
42. Centralized Network Controller(CNC): With decoupled control and data planes and centralized
network controller , the network controller can rapidly configure the network.
SDN applications can be deployed through programmable open API.
Programmable Open API: SDN support programmable open API. for interface between SDN
application and control layers. With the open API various network services such as routing, QoS,
access control can be implemented.
Standard Communication Interface(OpenFlow): SDN uses a standard communication interface
between the control and infrastructure layers. OpenFLow which is defined by Open Networking
Foundation(ONF) is the broadly accepted protocol for the southbound interface.
With OpenFlow, the forwarding plane of the networking device can be directly accessed and
manipulated. OpenFlow uses the concept of flow to define network traffic based on pre-defined rules.
Flows can be programmed statically or dynamically by the SDN software.
44. OPEN FLOW TABLE: Open FLow protocol is implemented on both sides of the interface between the controller
and the network device. The controller manages the switch via the open flow switch protocol. The controller can
add, update, delete flow entries in table.
Each flow table contains a set of flow entries. Each flow entries consists of match fields , counters and a set of
instructions to apply to matching packets.
46. NFV is a technology that leverages virtualization to consolidate the heterogenous network devices
onto industry standard high volume servers, switches and storage.
NFV is complimentay to SDN as NFV can provide infrastructure on which it runs. They are
mutually beneficial for each other but not dependent.
VNF: VNF is the software implementation of a network function which is capable of running over
the NVF Infrastructure(NVFI).
NVF Infrastructure(NVFI): NFVI includes compute,network and storage that are virtualized.
NFV Management and Orchestration:Focuses on all virtualization-specific management tasks and
covers the orchestration and life cycle management of physical and /or software resources that
support the infrastructure virtualization and the life cycle management of VNF.
49. IoT Platforms design methodology
• Important to design a generic design methodology independent of
specific product ,service or programming language.
• STEP 1: Purpose and Requirements specification:
• Define the purpose and requirements of the system(such as data collection
requirements,data analysis requirements,system management requirements,
data privacy and security requirements,user interface requirements).
51. Process Specification: Here USE CASE of the system is formally described based and derived from purpose and
requirements specification.
Fig: Process specification for home
automation system
52. STEP 3:DOMAIN MODEL SPECIFICATION:
The domain model describes the main concepts, entities and objects in the domain of IoT system to be designed.
Domain model defines the attributes of the objects and the relationships between objects.
Defines the attributes of the objects and the relationships between objects.
Physical Entity: Identifiable entity in physical environment(eg. a room, a light, a car etc.) IoT system provides
information about physical entity using sensors. In home automation system two physical entities - one is the room
(of which lighting conditons to be monitored and other is the light appliance to be controlled.
Virtual Entity: Representation of physical entity in the digital world. For each physical entity there is a virtual entity
in the domain model.
Device: Provides a medium for interactions between physical entities and virtual entities. They are used to gather
information about physical entities.
Resource: Software components which can be either on device or network resources.
Service: Provides an interface for interacting with physical entities.
53. In HOME AUTOMATION there are three services:
1) Service that sets mode to auto or manual or retreives the current mode.
2) Service that sets the light appliance state to ON/OFF or retreives the current light state.
3) A controller service that runs as a native service on the device.
In AUTO Mode the controller service monitors the light level and swithches the light
ON/OFF and updates the status in the status database. In MANUAL mode,the controller
service retreives the current state from the database and switches the light ON/OFF.
54.
55. STEP 4: Information model specification: Here Information model defines the structure of all information in
the IoT system. Eg. attributes of virtual entities , relations etc.
First the virtual entities are listed defined in the DOMAIN model. Later more details are added to the virtual
entities by adding attributes and relations.
In home automation there are two virtual entities - a virtual entity for light appliance ( with attribute light
and state) and a virtual entity for the room( with attribute light level)
59. Putting the LED 'ON & OFF'
import RPi.GPIO as GPIO
from time import sleep
GPIO.setmode(GPIO.BOARD)
blinkCount=3
count=0
LEDPin=22
#setup the pin the Led is connected to
GPIO.setup(LEDPin,GPIO.OUT)
while count < blinkCount:
GPIO.output(LEDPin,True)
print("LED ON")
sleep(3)
GPIO.output(LEDPin,False)
print("LED off")
sleep(1)
count +=1
63. In the lower-right part of the Arduino board, you’ll see six pins marked “Analog In”; these are special pins
that can tell us not only whether there is a voltage applied to them, but if so, also its value. By using the
analogRead() function, we can read the voltage applied to one of the pins. This function returns a number
between 0 and 1023, which represents voltages between 0 and 5 volts. For example, if there is a voltage of
2.5 V applied to pin number 0, analogRead(0) returns 512.
67. Connecting through a PUSH Button
We connect three wires to the Arduino board. The first goes from one leg of the pushbutton through a pull-up
resistor (here 2.2 KOhms) to the 5 volt supply. The second goes from the corresponding leg of the pushbutton to
ground. The third connects to a digital i/o pin (here pin 7) which reads the button's state.
When the pushbutton is open (unpressed) there is no connection between the two legs of the pushbutton, so
the pin is connected to 5 volts (through the pull-up resistor) and we read a HIGH. When the button is closed
(pressed), it makes a connection between its two legs, connecting the pin to ground, so that we read a LOW. (The
pin is still connected to 5 volts, but the resistor in-between them means that the pin is "closer" to ground.)
71. For example, if the object is 20 cm away from the sensor, and the speed of the sound is 340 m/s or 0.034
cm/µs the sound wave will need to travel about 588 microseconds. But what you will get from the Echo
pin will be double that number because the sound wave needs to travel forward and bounce backward. So
in order to get the distance in cm we need to multiply the received travel time value from the echo pin by
0.034 and divide it by 2.
72. 1. First do the wiring as shown in the picture
2. Open Arduino IDE Software and write down your code, or download the code below and open it
3. Choose your own Arduino board (in this case Arduino Uno), by selecting Tools > Board > Arduino/Geniuno Uno
4. Choose your COM Port (usually it appears only one existing port), Tools > Port > COM.. (If there are more than
one ports, try it one by one)
5. Upload your code by pressing Ctrl + U or Sketch > Upload
6. To display the measurement data you can use Serial Monitor by pressing Ctrl + Shift + M (make sure that the
baudrate speed is 9600)
pulsein():Reads a pulse (either HIGH or LOW) on a pin. For example, if value is HIGH, pulseIn() waits for the pin to
go from LOW to HIGH, starts timing, then waits for the pin to go LOW and stops timing. Returns the length of the
pulse in microseconds or gives up and returns 0 if no complete pulse was received within the timeout.
73. #define echoPin 2 // attach pin D9 Arduino to pin Echo of HC-SR04
#define trigPin 3 //attach pin D8 Arduino to pin Trig of HC-SR04
// defines variables
long duration; // variable for the duration of sound wave travel
int distance; // variable for the distance measurement
void setup() {
pinMode(trigPin, OUTPUT); // Sets the trigPin as an OUTPUT
pinMode(echoPin, INPUT); // Sets the echoPin as an INPUT
Serial.begin(9600); // // Serial Communication is starting with 9600 of baudrate speed
Serial.println("Ultrasonic Sensor HC-SR04 Test"); // print some text in Serial Monitor
Serial.println("with Arduino UNO R3");
}
74. void loop() {
// Clears the trigPin condition
digitalWrite(trigPin, LOW);
delayMicroseconds(2);
// Sets the trigPin HIGH (ACTIVE) for 10 microseconds
digitalWrite(trigPin, HIGH);
delayMicroseconds(10);
digitalWrite(trigPin, LOW);
// Reads the echoPin, returns the sound wave travel time in microseconds
duration = pulseIn(echoPin, HIGH);
// Calculating the distance
distance = duration * 0.034 / 2; // Speed of sound wave divided by 2 (go and back)
// Displays the distance on the Serial Monitor
Serial.print("Distance: ");
Serial.print(distance);
Serial.println(" cm");
}
75. int sensorPin = A0;
int sensorValue;
int limit = 300;
void setup() {
Serial.begin(9600);
pinMode(13, OUTPUT);
}
void loop() {
sensorValue = analogRead(sensorPin);
Serial.println("Analog Value : ");
Serial.println(sensorValue);
if (sensorValue<limit) {
digitalWrite(13, HIGH);
}
else {
digitalWrite(13, LOW);
}
delay(1000);
}
Connecting moisture sensor to arduino
78. This Dallas Temperature library is a hardware-specific library which handles lower-level functions. It needs to
be paired with One Wire Library to communicate with any one-wire device not just DS18B20. Install this
library as well.
79. #include <OneWire.h>
#include <DallasTemperature.h>
// Data wire is plugged into digital pin 2 on the Arduino
#define ONE_WIRE_BUS 2
// Setup a oneWire instance to communicate
with any OneWire device
OneWire oneWire(ONE_WIRE_BUS);
// Pass oneWire reference to DallasTemperature library
DallasTemperature sensors(&oneWire);
void setup(void)
{
sensors.begin(); // Start up the library
Serial.begin(9600);
}
void loop(void)
{
// Send the command to get temperatures
sensors.requestTemperatures();
//print the temperature in Celsius
Serial.print("Temperature: ");
Serial.print(sensors.getTempCByIndex(0));
Serial.print((char)176);//shows degrees character
Serial.print("C | ");
//print the temperature in Fahrenheit
Serial.print((sensors.getTempCByIndex(0) * 9.0) / 5.0 +
32.0);
Serial.print((char)176);//shows degrees character
Serial.println("F");
delay(500);
}
80.
81. Arduino IR sensor
int IRSensor = 2; // connect ir sensor to arduino pin 2
int LED = 13; // conect Led to arduino pin 13
void setup()
{
pinMode (IRSensor, INPUT); // sensor pin INPUT
pinMode (LED, OUTPUT); // Led pin OUTPUT
}
void loop()
{
int statusSensor = digitalRead (IRSensor);
if (statusSensor == 1)
digitalWrite(LED, LOW); // LED LOW
}
else
{
digitalWrite(LED, HIGH); // LED High
}
}
84. import serial
import time
# Define the serial port and baud rate.
# Ensure the 'COM#' corresponds to what was seen in the Windows Device Manager
ser = serial.Serial('/dev/ttyACM2', 9600)
def led_on_off():
user_input = input()
user_input.strip()
if user_input =="on":
print("LED is on...")
time.sleep(0.1)
ser.write(b'H')
led_on_off()
elif user_input =="off":
print("LED is off...")
time.sleep(0.1)
ser.write(b'L')
led_on_off()
elif user_input =="quit" or user_input == "q":
print("Program Exiting")
time.sleep(0.1)
ser.write(b'L')
ser.close()
else:
print("Invalid input. Type on / off / quit.")
led_on_off()
time.sleep(2) # wait for the serial connection to initialize
led_on_off()
Python Ardudino Interaction to control LED
85. int data;
int LED=13;
String x;
int y;
void setup() {
Serial.begin(9600); //initialize serial COM at 9600 baudrate
pinMode(LED, OUTPUT); //declare the LED pin (13) as output
digitalWrite (LED, LOW); //Turn OFF the Led in the beginning
Serial.println("Hello!,How are you Python ?");
}
void loop() {
while (!Serial.available());
x = Serial.readString();
x.trim();
Serial.print(x[0]);
Serial.print("before if x");
Serial.print(x);
//Turn On the Led
if (x[0]=='H')
{
digitalWrite (LED, HIGH); //Turn
On the Led
Serial.print("true");
}
else if (x[0] =='L')
digitalWrite (LED, LOW);
//Turn OFF the Led
}
91. The architecture MQTT BROKER(MAY
ALSO RUN ON A
CLOUD SERVER)
MQTT PUBLISHER(Commands ON or
OFF
MQTT SUBSCRIBER
LED
CIRCUIT
ssh pi@raspberrypi.local
93. MQTT PUBLISHER
import paho.mqtt.client as mqtt
import sys
broker_url="192.168.60.252"
broker_port=1883
def on_connect(client, userdata, flags, rc):
print("Connected With Result Code " (rc))
def on_disconnect(client, userdata, rc):
print("Client Got Disconnected")
client=mqtt.Client()
client.connect(broker_url,broker_port)
#If the connection is successful, you will see it output 0 on
the screen.
client.publish(topic="LED", payload=sys.argv[1], qos=0,
retain=False)
#client.loop_forever()
Running the code:
python mqttpub.py ON
94. Modified blink to blink2
import RPi.GPIO as GPIO
from time import sleep
GPIO.setmode(GPIO.BOARD)
LEDPin=22
#setup the pin the Led is connected to
GPIO.setup(LEDPin,GPIO.OUT)
def blin(param):
if param=="ON":
GPIO.output(LEDPin,True)
sleep(3)
elif param=="OFF":
GPIO.output(LEDPin,False)
print("LED off")
sleep(1)
97. import RPi.GPIO as GPIO
import time
#GPIO SETUP
channel = 16
GPIO.setmode(GPIO.BOARD)
GPIO.setup(channel, GPIO.IN)
def callback(channel):
if GPIO.input(channel):
print "Water Detected!"
GPIO.add_event_detect(channel, GPIO.BOTH, bouncetime=300) # let us know when the pin goes HIGH
or LOW
GPIO.add_event_callback(channel, callback) # assign function to GPIO PIN, Run function on change
106. Interacting App with Pi.
• https://medium.com/@gaikwadchetan93/android-real-time-
communication-using-mqtt-9ea42551475d
• except the service version in the build gradle
108. At any time, clients can subscribe to and unsubscribe from one or more topics by connecting to a broker. So if a new
industrial device is installed (e.g., a new reactor, “reactorX” ), the IT operations will have to configure its IoT node with
the Internet Protocol (IP) address and connection details of the broker. When booting up, the new IoT node will
announce its presence to the broker and subscribe to the requested topics. MQTT subscribers and publishers are
transient and can come and go at any time, and could receive old, queued messages when they come back online.
109. CoAP: Constrained Application Protocol
CoAP is a client-server protocol, which means that the data exchange is initiated by a client node with a
request sent to a server node, which will answer with a response.
CoAP does not require the client to open or keep a connection to a server because it’s based on User
Datagram Protocol (UDP). At any time, a client can send one CoAP packet to a server.
Each request has a few options, with the most important one being the Uniform Resource Identifier (URI),
which indicates the “path” to the requested resource — much like Uniform Resource Locators (URLs) for
websites.
Note that a node could be both server and client at the same time, implementing a point-to-point, full-
duplex data layer.
110. Following the same example used in the MQTT description above, a client node could command
another node to, say, “turn on” or “execute a given task,” by sending a CoAP packet such as
“/station1/substation3/reactor3” with payload “on” . The CoAP server will interpret the URI, extract
the “on” payload, and decide what to do according to its logic. Depending on the request, the server could
reply with an acknowledgment, or just remain silent: Not all requests must be acknowledged.
114. Previous versions of the standard contained vulnerable pseudocode examples as a reference for
developers. For example, the code example to parse the “remaining length” field in packets changed
between versions 3.1 8 and 3.1.1 9 + errata, 10 going from a “no check” to “wrong check” and then
to “correct check”. This turned out to be an interesting pattern to look for, leading us to discover a
memory error (exploitable to obtain a remote code execution primitive) in real MQTT
implementations.
On top of this, the MQTT version 5.0 specification 11 is not entirely compatible with previous
versions, which could delay its future adoption despite the security improvements that it brings.
115. Unicode Handling in Topic Strings
Another interesting venue prone to error is the handling of topic strings. The first issue is that the
standard leaves it up to the developers’ choice to close the connection upon failing validation of
disallowed UTF-8 code points.