This document discusses Internet of Things (IoT) privacy and security. It describes IoT as physical objects embedded with sensors and software to connect and share data over the Internet. It identifies key risks like security, software, network, and privacy issues. It provides examples of each risk and recommends mitigation strategies like using secure development practices, authentication of updates, different credentials for devices, and anonymizing identity and location data. The document emphasizes that security and privacy should be first-class requirements from the start of any IoT system design.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
Internet of Things means every household or handy device which is used to make our world easy and better and connected with IP which transmit some data.
This slide covers IOT description, OWASP Top 10 2014 & its recommendations.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
The IoT Era Begins
Components of IoT-Enabled Things
IoT Reference model
IoT Security
IoT Security & Privacy Req. defined by ITU-T
An IoT Security Framework
IoT Security Challenges
Internet of Things - Liability
IoT security tools
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
Internet of Things means every household or handy device which is used to make our world easy and better and connected with IP which transmit some data.
This slide covers IOT description, OWASP Top 10 2014 & its recommendations.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
The IoT Era Begins
Components of IoT-Enabled Things
IoT Reference model
IoT Security
IoT Security & Privacy Req. defined by ITU-T
An IoT Security Framework
IoT Security Challenges
Internet of Things - Liability
IoT security tools
Machine to machine (M2M) is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
Primarily M2M and IoT are similar in upper layer such as hardware, networking or devices. But they differ in system architecture, types of applications and underlying Technologies.
This will be helpful for GTU IOT subject course understanding too!
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How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
Security in the Internet Of Things.
Every IoT project must be designed with security in mind. Identity Relationship Management is a must for a successful IoT implementation.
The session with highlight Intel’s vision for IoT Security and the fundamental building blocks and capabilities Intel and the ecosystem are providing to organizations to build security in from design through deployment and maintenance.
This IOT architecture describes about how things get connected via internet.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
IOT Security. Internet of Things impact is everywhere from your bedroom to office. Everyone should be aware about iot security to run it without any hassle and security risk.
Why you should take IOT security training course ?
Learn about risks of unsecured enterprise and home IoT devices connecting to the Internet and able to share the information they generate.
Iot security training covers these topics :
Device and platform vulnerabilities,
Authentication and authorization,
Web interface and software,
Transport encryption,
Management issues,
Privacy and security enhancements and other iot issues
Iot and security risks :
Most serious IoT security risks involve software. Software attacks can exploit entire systems, steal information, alter data, deny service and compromise or damage devices.
In a phishing attack, for example, Attackers also use malware, such as viruses, worms and Trojans, to damage or delete data, steal information, monitor users and disrupt key system functions.
Learn about:
IoT Principles
Principles of IoT Security
IoT Attack Areas
IoT Vulnerabilities
IoT Firmware Analysis
IoT Software Weaknesses
IoT Security Verification, Validation
Assessing IoT devices attack surfaces
Evaluation of IoT device firmware analysis, attack surface, vulnerabilities and exploiting the vulnerabilities
Request more information.
Visit tonex.com for iot security training course and workshop detail.
https://www.tonex.com/training-courses/iot-security-training-iot-security-awareness/
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Practical Security Assessments of IoT Devices and Systems Ollie Whitehouse
This talk briefly discusses strategies and methodologies than can be employed when assessing IoT devices. We look at how to develop credible threat scenarios for different IoT device and systems, perform static and dynamic attack surface mapping, perform static firmware analysis, perform static hardware analysis, undertake a dynamic device security analysis, sources of supporting information, supporting capability requirements and establishment, Execution of dynamic device analysis and approaches around network protocol analysis.
Machine to machine (M2M) is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
Primarily M2M and IoT are similar in upper layer such as hardware, networking or devices. But they differ in system architecture, types of applications and underlying Technologies.
This will be helpful for GTU IOT subject course understanding too!
If you like the video please subscribe to our channel and turn notifications on for future videos.
Follow us on:
Website: http://www.edtechnology.in/
Instagram: https://www.instagram.com/ed.tech/
Facebook: https://www.facebook.com/Edtech18/
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
Security in the Internet Of Things.
Every IoT project must be designed with security in mind. Identity Relationship Management is a must for a successful IoT implementation.
The session with highlight Intel’s vision for IoT Security and the fundamental building blocks and capabilities Intel and the ecosystem are providing to organizations to build security in from design through deployment and maintenance.
This IOT architecture describes about how things get connected via internet.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
IOT Security. Internet of Things impact is everywhere from your bedroom to office. Everyone should be aware about iot security to run it without any hassle and security risk.
Why you should take IOT security training course ?
Learn about risks of unsecured enterprise and home IoT devices connecting to the Internet and able to share the information they generate.
Iot security training covers these topics :
Device and platform vulnerabilities,
Authentication and authorization,
Web interface and software,
Transport encryption,
Management issues,
Privacy and security enhancements and other iot issues
Iot and security risks :
Most serious IoT security risks involve software. Software attacks can exploit entire systems, steal information, alter data, deny service and compromise or damage devices.
In a phishing attack, for example, Attackers also use malware, such as viruses, worms and Trojans, to damage or delete data, steal information, monitor users and disrupt key system functions.
Learn about:
IoT Principles
Principles of IoT Security
IoT Attack Areas
IoT Vulnerabilities
IoT Firmware Analysis
IoT Software Weaknesses
IoT Security Verification, Validation
Assessing IoT devices attack surfaces
Evaluation of IoT device firmware analysis, attack surface, vulnerabilities and exploiting the vulnerabilities
Request more information.
Visit tonex.com for iot security training course and workshop detail.
https://www.tonex.com/training-courses/iot-security-training-iot-security-awareness/
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
Practical Security Assessments of IoT Devices and Systems Ollie Whitehouse
This talk briefly discusses strategies and methodologies than can be employed when assessing IoT devices. We look at how to develop credible threat scenarios for different IoT device and systems, perform static and dynamic attack surface mapping, perform static firmware analysis, perform static hardware analysis, undertake a dynamic device security analysis, sources of supporting information, supporting capability requirements and establishment, Execution of dynamic device analysis and approaches around network protocol analysis.
The Internet of Things is the idea that everything around us from cars to ovens can be connected. If everything around us is linked and collecting information, these networks must be able to provide security and privacy to the end-user particularly in low-power lossy networks.
Types of Networks Week7 Part4-IS RevisionSu2013 .docxwillcoxjanay
Types of Networks
Week7 Part4-IS
RevisionSu2013
Types of Networks
There are different types of networks. Each type has different characteristics and
therefore different security needs. Some of the fundamental differentiating attributes of
the various types of networks are:
the physical distance the network spans
the topology of the network nodes
the types of media used for communication between nodes in the network
the different devices supported on the network
the different applications supported on the network
the different groups of users permitted on the network
the different protocols supported on each network
Depending on the type of network there may be different information security
requirements requiring that various protocols, security services, security mechanisms are
used in a fashion to support that type of network.
While each network environment has some characteristics and security needs unique to
that environment, there are many security techniques that should be universally applied to
all environments. For example; sound policies and procedures, risk assessment of the
assets, user awareness training, encryption technology, authentication technology, sound
credential (password) selection and protection, malware protection, firewalls are a few
security techniques that need to be applied in all of the networks albeit in configurations
that best suits a particular environment.
Local Area Network (LAN)
A LAN network covers a small geographic area that takes advantage of high speed data
transfers usually implemented through Ethernet or fiber. A LAN could be a home, office,
group of building with local proximity (university, business). LANs typically share
resources such as file servers and printers.
Wide Area Network (WAN)
A WAN covers a large geographic area that may require connection through satellite,
high speed dedicated lines and other means. The internet is a WAN. WANs can connect
LANs together into a larger organizational structure that can be used to share resources
such as file, email, dns servers to name a few. Resources can be shared using slower
connections on geographically separated areas across the WAN.
Wireless Networks and Mobile Networks
The movement to laptop systems at home and workplaces accelerated the mobility of
computing.
As employees traveled between offices, client sites, home and various other remote
locations they could remain connected to company servers as long as the remote site had
connectivity to the companies’ intranet. Initially this connectivity was provided by
having Ethernet cabling available for remote users to physically plug their laptops into.
Eventually, companies started installing wireless hotspots that could be automatically
detected by systems that had wireless cards.
The proliferation of wireless connectivity and internet use spread from the workplace to
genera ...
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What is the scope of IoT security
Uses of IoT and where do we see it in our daily life
Possible attack surface and likelihood of IoT-related attacks
IoT specific security assessment (understanding approach, IoT protocols, how it is a combination of different type assessments)
The myths of IoT security and the way it has progressed in past few years and how far fetched it can be.
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2. IOT (Internet of things )
The Internet of things describes the network of
physical objects—a.k.a. "things"—that are
embedded with sensors, software, and other
technologies for the purpose of connecting
and exchanging data with other devices and
systems over the Internet.
5. Security risks
Device supply chain
Devices may be resold pre-programmed with malware.
Firmware upgrade
OTA may be abused.
Applications and services
Exposed services and end-user applications may be compromised.
Working network
User networks are hostile by definition.
Cloud service impersonation
6. Software risk mitigation
Use secure development practices for the platform and
language.
Trim and re-evaluate third-party software and libraries. (Use
sound and proven cryptographic implementations.)
Secure the boot process.
Authenticate OTA update sources and targets. (Have distinct
device signatures for software updates).
Pair external devices, such as phones, securely (e.g. secure
NFC/Bluetooth).
7. Network risk mitigation
Different default credentials for all devices.
Security on the protocol level.
Peer authentication and authorization.
Secret sharing
Cryptographic one-way hashing
Zero knowledge proof
Nodes act only as clients towards the network.
8. Privacy risks
Identity disclosure
Device may transmit personally identifiable data.
Device transmissions may be recognizable.
Location disclosure
Device may transmit its explicit location.
Device may be itself traceable through its
communications.
9. Privacy risk mitigation
Identity disclosure
Pseudonym.
Connection anonymization.
Location disclosure
Pseudonym.
Data confidentiality
• No direct access to personally identifiable data from
devices.
• Secure data center / cloud resources.
10. Security and privacy first
Security and privacy are first-class
requirements.(Design from the start with them in
mind).
Define trust boundaries(Device/gateway,
gateway/cloud)
Imagine unlawful ways of interacting with the
system(Threat modeling)
