#AI
#Cybersecurity #Stock GBT (OTCPK:
$GTCH) is Researching the Development of a #MachineLearning
Driven, RF Cybersecurity System and Protocol; #artificialintelligence
Aiming
to provide adaptable, synthesized, new era #security for Radio Frequency networks
through the use of #AI technology
SAN
DIEGO, CA, October 13, 2022 (Investorideas.com
Newswire) GBT Technologies Inc. (OTC PINK: GTCH) ("GBT” or the “Company”) is researching
the development of a machine learning driven radio frequency (RF) cybersecurity
system and protocol. Typical wireless security depends on a software and
hardware identification for each wireless device. This fact creates a major cybersecurity
vulnerability which can lead to a wireless device’s attack or cloning. GBT is researching the development of a
machine learning based system and protocol that will learn to recognize
transmitters and receivers based on their unique RF fingerprint. GBT is analyzing
a combination of hardware and software to be focused on learning transmitters/receivers
RF features, identifying and categorizing their nature as safe or potential malicious
attackers. The research is focused on developing a system to identify a
potential intruder and then initiating an immediate RF fingerprint change to increase
the network’s security measures and also providing an incident response. In response to the out of network suspicious
device, the communication system is expected to modify in real time, all other
devices fingerprint to transmit in different waveforms, frequencies and other
characteristics. The system under development is expected to automatically
change all the wireless safe devices natural pattern to block and isolate the
intruder. The ultimate goal of the system is to allow an entire network’s
security level to be enhanced in real-time to avoid data theft, damage and
malicious attacks. This planned system will be learning to synthesize RF waveforms
on-the-fly as a response to cyber threat. The system and protocol are planned
to include AI technology to create an intelligent wireless communication method,
maximizing the security of wireless networks by enabling RF spectrum analysis
and recognition of RF devices fingerprint and signature. The wireless network under
development will constantly monitor and study with the goal of identifying any
abnormalities. In case of a possible cyber threat the system is expected to dynamically
reconfigure its operating modes to isolate the intrusion and continue its
normal, secured operation. GBT aims to equip the system with cognitive,
adaptive capabilities in order to perform an automatic reconfiguration, enabling
an intelligent, fast response and efficient cybersecurity technology for wireless
networks. The system is planned to be autonomous and self-learning to increase
RF networks cyber threats awareness, detection, identification and elimination.
Read this
news, featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2022/10131Machine-Learning-RF-Cybersecurity.asp
“It
is GBT’s goal to provide a new level of cybersecurity for wireless networks. Based
on our experience in the RF domain we decided to develop an intelligent
security system and protocol with the goal of being able to pick out and
distinguish between RF signals, identifying the network members fingerprint and
identifying the signals that do not belong. As our world’s RF spectrum is becoming
highly occupied by numerous radio signals it becomes a great challenge to
detect and identify intruders and attackers. Particularly with the rapid,
constant expansion of the internet of things (IoT) technology, there
now exists a vast amount of RF data in a wide variety of fields. We identified
the need for a higher level of cybersecurity in the RF domain to properly
secure data, avoid damages and preventing malicious attacks. We are working on
an intelligent RF cybersecurity system and protocol that collects important,
relevant information about the network’s devices, learning the network’s
patterns and provides an immediate response in case of suspicious fingerprints
identification. The system will have RF awareness to the wireless network
patterns, signatures, and characteristics. It will have cognitive capabilities
to learn the features of each transmitter and receiver with the goal of
providing immediate identification of out-of-networks intruding devices. It
will have reasoning algorithms to reach rapid conclusions and to execute RF
characteristics change within the network’s members fingerprints and features. We
are attempting to develop a system that will learn to understand the difference
between safe and harmful signals detected in large bandwidths with the goal of building
an efficient, intelligent network security awareness. We strongly believe that
particularly in our times a robust RF cybersecurity technology must come of age
to protect our normal daily lives, privacy and ultimately national security,” stated
Danny Rittman, the Company’s CTO.
There
is no guarantee that the Company will be successful in researching, developing
or implementing this system. In order to
successfully implement this concept, the Company will need to raise adequate
capital to support its research and, if successfully researched and fully developed,
the Company would need to enter into a strategic relationship with a third
party that has experience in manufacturing, selling and distributing this
product. There is no guarantee that the
Company will be successful in any or all of these critical steps.
About Us
GBT
Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which
considers itself a native of Internet of Things (IoT), Artificial Intelligence
(AI) and Enabled Mobile Technology Platforms used to increase IC performance.
GBT has assembled a team with extensive technology expertise and is building an
intellectual property portfolio consisting of many patents. GBT’s mission, to
license the technology and IP to synergetic partners in the areas of hardware
and software. Once commercialized, it is GBT’s goal to have a suite of products
including smart microchips, AI, encryption, Blockchain, IC design, mobile
security applications, database management protocols, with tracking and supporting
cloud software (without the need for GPS). GBT envisions this system as a
creation of a global mesh network using advanced nodes and super performing new
generation IC technology. The core of the system will be its advanced microchip
technology; technology that can be installed in any mobile or fixed device worldwide.
GBT’s vision is to produce this system as a low cost, secure,
private-mesh-network between all enabled devices. Thus, providing shared
processing, advanced mobile database management and sharing while using these
enhanced mobile features as an alternative to traditional carrier services.
Forward-Looking Statements
Certain
statements contained in this press release may constitute "forward-looking
statements". Forward-looking statements provide current expectations
of future events based on certain assumptions and include any statement that
does not directly relate to any historical or current fact. Actual results may
differ materially from those indicated by such forward-looking statements because
of various important factors as disclosed in our filings with the Securities
and Exchange Commission located at their website ( http://www.sec.gov).
In addition to these factors, actual future performance, outcomes, and results
may differ materially because of more general factors including (without
limitation) general industry and market conditions and growth rates, economic
conditions, governmental and public policy changes, the Company’s ability to
raise capital on acceptable terms, if at all, the Company’s successful development
of its products and the integration into its existing products and the
commercial acceptance of the Company’s products. The forward-looking
statements included in this press release represent the Company's views as of
the date of this press release and these views could change. However,
while the Company may elect to update these forward-looking statements at some
point in the future, the Company specifically disclaims any obligation to do
so. These forward-looking statements should not be relied upon as
representing the Company's views as of any date subsequent to the date of the
press release.
Contact:
Dr.
Danny Rittman, CTO
press@gopherprotocol.com
GBT Technologies Inc.
(OTCQB:GTCH) is a featured tech stock on
More info on GTCH at
Investorideas.com Visit: https://www.investorideas.com/CO/GOPH/
Get
News Alerts on GBT Technologies Inc GTCH
Disclaimer/Disclosure: Investorideas.com
is a digital publisher of third party sourced news, articles and equity
research as well as creates original content, including video, interviews and
articles. Original content created by investorideas is protected by copyright
laws other than syndication rights. Our site does not make recommendations for
purchases or sale of stocks, services or products. Nothing on our sites should
be construed as an offer or solicitation to buy or sell products or securities.
All investing involves risk and possible losses. This site is currently
compensated for news publication and distribution, social media and marketing,
content creation and more. Disclosure is posted for each compensated news
release, content published /created if required but otherwise the news was not
compensated for and was published for the sole interest of our readers and
followers. Disclosure: GTCH is a PR, social media and publishing client and
compensates Investorideas.com https://www.investorideas.com/About/News/Clientspecifics.asp
Contact management and IR of each company directly regarding specific questions.
More disclaimer info: https://www.investorideas.com/About/Disclaimer.asp Learn
more about publishing your news release and our other news services on the
Investorideas.com newswire https://www.investorideas.com/News-Upload/
and tickertagstocknews.com Global
investors must adhere to regulations of each country. Please read
Investorideas.com privacy policy: https://www.investorideas.com/About/Private_Policy.asp
Get more tech stocks investor ideas- news, articles, podcasts and stock directories
No comments:
Post a Comment