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- Compromising Systems:Implementing Hacking Phases
Abstract Views :209 |
PDF Views:108
Authors
Affiliations
1 College of Information and Communications Technology,Holy Angel University, Angeles, PH
2 Future University, Khartoum, SD
1 College of Information and Communications Technology,Holy Angel University, Angeles, PH
2 Future University, Khartoum, SD
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 2 (2019), Pagination: 27-35Abstract
In the cyber world more and more cyber-attacks are being perpetrated. Hackers have now become the warriors of the internet. They attack and do harmful things to compromised system. This paper will show the methodology use by hackers to gained access to system and the different tools used by them and how they are group based on their skills. It will identify exploits that can be used to attack a system and find mitigation to those exploits.
In addition, the paper discusses the actual implementation of the hacking phases with the virtual machines use in the process. The virtual machines specification is also listed. it will also provide means and insights on how to protect one system from being compromised.
Keywords
Compromised Systems, Hacking, Penetration Testing, Exploit, Vulnerability.Full Text
References
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- Smart Motorcycle Helmet:Real-Time Crash Detection with Emergency Notification, Tracker and Anti-Theft System using Internet-of-Things Cloud based Technology
Abstract Views :214 |
PDF Views:136
Authors
Affiliations
1 College of Information and Communications Technology Holy Angel University, Angeles, PH
2 Future University, Khartoum, SD
1 College of Information and Communications Technology Holy Angel University, Angeles, PH
2 Future University, Khartoum, SD
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 3 (2019), Pagination: 81-94Abstract
Buying a car entails a cost, not counting the day to day high price tag of gasoline. People are looking for viable means of transportation that is cost-effective and can move its way through traffic faster. In the Philippines, motorcycle was the answer to most people transportation needs. With the increasing number of a motorcycle rider in the Philippines safety is the utmost concern. Today technology plays a huge role on how this safety can be assured. We now see advances in connected devices. Devices can sense its surrounding through sensor attach to it. With this in mind, this study focuses on the development of a wearable device named Smart Motorcycle Helmet or simply Smart Helmet, whose main objective is to help motorcycle rider in times of emergency. Utilizing sensors such as alcohol level detector, crash/impact sensor, Internet connection thru 3G, accelerometer, Short Message Service (SMS) and cloud computing infrastructure connected to a Raspberry Pi Zero-W and integrating a separate Arduino board for the anti-theft tracking module is used to develop the propose Internet-of Things (IoT) device.
Using quantitative method and descriptive type research, the researchers validated the results from the inputs of the participant who tested the smart helmet during the alpha and beta testing process. Taking into account the ethical consideration of the volunteers, who will test the Smart Helmet. To ensure the reliability of the beta and alpha testing, ISO 25010 quality model was used for the assessment focusing on the device accuracy, efficiency and functionality. Based on the inputs and results gathered, the proposed Smart Helmet IoT device can be used as a tool in helping a motorcycle rider when an accident happens to inform the first-responder of the accident location and informing the family of the motorcycle rider.
Keywords
Smart Helmet, Internet of Things, Sensors, Real-Time Crash Detection, Emergency Notification, Tracker, Anti-Theft System Cloud Based Technology.Full Text
References
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- Nandu, R., & Singh, K. (2014). Smart Helmet for Two-Wheelers. Advances in Automobile Engineering, 03(01), 1–2. https://doi.org/10.4172/2167-7670.1000110
- Sung, K.-M., Noble, J., Kim, S.-C., Jeon, H.-J., Kim, J.-Y., Do, H.-H., … Baek, K.-J. (2016). The Preventive Effect of Head Injury by Helmet Type in Motorcycle Crashes: A Rural Korean Single-Center Observational Study. BioMed Research International, 2016, 1–7. https://doi.org/10.1155/2016/1849134
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- Lahausse, J. A., Fildes, B. N., Page, Y., & Fitzharris, M. P. (2008). The potential for automatic crash notification systems to reduce road fatalities. Annals of Advances in Automotive Medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference, 52, 85–92. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/19026225
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- IOT Security: Penetration Testing of White-Label Cloud-Based IOT Camera Compromising Personal Data Privacy
Abstract Views :244 |
PDF Views:131
Authors
Affiliations
1 School of Computing Holy Angel University, Angeles, PH
1 School of Computing Holy Angel University, Angeles, PH
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 12, No 5 (2020), Pagination: 29-40Abstract
The Internet is driving force on how we communicate with one another, from posting messages and images to Facebook or “tweeting” your activities from your vacation. Today it is being used everywhere, now imagine a device that connects to the internet sends out data based on its sensors, this is the Internet-of-Things, a connection of objects with a plethora of sensors. Smart devices as they are commonly called, are invading our homes. With the proliferation of cheap Cloud-based IoT Camera use as a surveillance system to monitor our homes and loved ones right from the palm of our hand using our smartphones. These cameras are mostly white-label product, a process in which the product comes from a single manufacturer and bought by a different company where they are re-branded and sold with their own product name, a method commonly practice in the retail and manufacturing industry. Each Cloud-based IoT cameras sold are not properly tested for security. The problem arises when a hacker, hacks into the Cloud-based IoT Camera sees everything we do, without us knowing about it. Invading our personal digital privacy. This study focuses on the vulnerabilities found on White-label Cloud-based IoT Camera on the market specifically on a Chinese brand sold by Shenzhen Gwelltimes Technology. How this IoT device can be compromised and how to protect our selves from such cyber-attacks.Keywords
Network Protocols, Wireless Network, Mobile Network, Virus, Worms &Trojon, Internet of Things, Hacker, Smart Camera.Full Text
References
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