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Student college alert system to parents by their entry at the college premise...
Student college alert system to parents by their entry at the college premise...
International Journal of Software Engineering & Applications (IJSEEA)
International Journal of Software Engineering & Applications (IJSEEA)
International Journal of Software Engineering & Applications (IJSEEA)
International Journal of Software Engineering & Applications (IJSEEA)
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resource-constrained and have a heterogeneous protocol stack, most traditional intrusion detection
approaches don’t work well within these schematic boundaries. This has led security researchers to
innovate at the intersection of Machine Learning and IDS to solve the shortcomings of non-learning based
IDS systems in the IoT ecosystem.
Cobit 2
The document discusses managing information security risks and risk management. It covers identifying valuable information assets, threats to those assets like identity theft and hacking, and vulnerabilities in existing safeguards. It also discusses how to assess security spending based on asset value and risk likelihood. The document recommends understanding risks, accepting or mitigating risks, and outlines how MPC Security Solutions can help with services like security assessments, policy reviews, and monitoring/auditing tools.
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The document discusses managing information security risks and risk management. It covers identifying valuable information assets, threats to those assets like identity theft and hacking, and vulnerabilities in existing safeguards. It also discusses how to assess security spending based on asset value and risk likelihood. The document recommends understanding risks, accepting or mitigating risks, and outlines how MPC Security Solutions can help with services like security assessments, policy reviews, and monitoring/auditing tools.
Why do women love chasing down bad guys?
Necmiye Genc, SITA, at International Women's Day Global Event Series. The information security field is expected to see a deficit of 1.5 professionals by 2020. In the face of the desperate need for information security professionals, the report released by (ISC)2, the education and certification body of information security professionals, depicts that women have represented only 10% of the total security workforce. This talk aims to build awareness of the opportunities that exist in security for women of all backgrounds and to introduce advanced technologies such as analytics, threat intelligence and digital forensics to help burgeoning security professionals.
A review: Artificial intelligence and expert systems for cyber security
Artificial intelligence (AI) and expert systems are essential and vital tools to counter potentially dangerous threats
in cyber security. The protection of data requires skilled cyber security technicians for various types of roles. The
essential role of an expert system is to monitor the threats and assist the technician to strengthen security. The
system uses various datasets like a machine and deep learning as well as reinforced learning in order to make
intelligent decisions. The Internet of Things (IoT) is one of the major concerns for cyber security because it is
potentially the second most likely vulnerable link in the cyber security environment because an attacker can easily
gain access to the system by breaching any IoT device that is connected to the system. Still human is the strongest
and potentially the weakest link in the cyber security environment. This review intends to present AI and expert
systems for cyber security
ERAU webinar november 2016 cyber security
This document summarizes a presentation on cybersecurity challenges and solutions. The presentation covered: (1) the current cybersecurity landscape and challenges such as volume of emails/data, variety of malware, and vulnerabilities in software; (2) solutions such as frequent software updates, unique passwords, caution online, and routine backups; and (3) areas needing further work like attribution of attacks, developing creative cybersecurity personnel, and securing emerging technologies like electronic flight bags. The presentation concluded by encouraging questions and announcing upcoming related webinars.
Hakin9 interview w Prof Sood
Dr. Arun Sood is a professor of computer science who has developed an approach called Self Cleansing Intrusion Tolerance (SCIT) to improve server security. SCIT works by converting static servers into dynamic servers that refresh regularly, reducing exposure time to malware while maintaining service. His research aims to limit losses from successful attacks by restoring servers to a pristine state frequently. SCIT has been implemented to refresh servers every minute, limiting the time for malware to cause damage.
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Scope of deep learning
- 1. Scope of Deep Learning in Cyber Security Dr.S.Padma, Faculty MITS, A.P.
- 2. Presentation Flow – Cyber Security Evolution – AI Driven Cyber Security – Why to concentrate on cyber security? – Machine Learning in Cyber – Deep Learning for Cyber – Risks in execution 3/14/2021 MITS, A.P. 2
- 3. Cyber Security Evolution 3/14/2021 MITS, A.P. 3
- 4. Cyber Security Elements 3/14/2021 MITS, A.P. 4
- 5. The benefits of deep learning in cyber security – Predictions of unknown threats. – Zero time prediction and detection. – Zero time classification. – Works across any device, operating system or file. – Doesn’t rely on connection (edge deployment). 3/14/2021 MITS, A.P. 5
- 6. Growing prevalence of deep learning in real-world solutions – Computer vision: 98% deep learning, 2% traditional machine learning. – Speech recognition: 80% deep learning, 20% traditional machine learning. – Text understand: 65% deep learning, 35% traditional machine learning. – Cyber security: 2% deep learning, 98% traditional machine learning. 3/14/2021 MITS, A.P. 6
- 17. Machine Learning in Cyber Security – Finding Malicious Website – Network Intrusion Detection – Spam Filtering – Trusting Application 3/14/2021 MITS, A.P. 17
- 18. Deep Learning for Cyber 3/14/2021 MITS, A.P. 18
- 20. Deep Learning in Cyber Security – Big Data and Fraud Detection – Cloud Security – Biometric Security – Network Threats 3/14/2021 MITS, A.P. 20