9 research outputs found
Seamless Security on Mobile Devices Textual Password Quantification Model Based Usability Evaluation of Secure Rotary Entry Pad Authentication
Get PDFMobile devices are vulnerable to shoulder surfing and smudge attacks, which should occur when a user enters a PIN for authentication purposes. This attack can be avoided by implementing a rotary entry pad mechanism. Despite this, several studies have found that using a rotary entry pad reduces user usability. This study uses a Design Research Methodology approach. It will implement a rotary entry pad authentication in the Android operating system as an authentication method to protect the device against Shoulder Surfing Attacks and Smudge Attacks. Furthermore, it combined JSON Web Token (JWT) to secure the authentication process from the client to the server. At the end of implementation, it compared with other studies in terms of usability and evaluated it using the TQ-Model, which showed that the usability aspect has improved. Regarding security, we conducted a shoulder surfing attack simulation to assess the efficacy of guessing PINs. The results showed that only a limited number of attempts were successful, with two out of five samples failing to guess any numbers and only one sample successfully guessing six 10-digit PIN combinations out of 10 to the power of 10. The security test results show that shoulder surfing attacks are more difficult to perform after implementing the rotary entry pad. The evaluation showed that the JSpinpad performed better, with seven parameters showing improvement, one parameter showing a decline, and ten parameters remaining unchanged
Kybernetická bezpečnost senzorů v inteligentních vozidlech: Přehled hrozeb a řešení
No full textThe use of sensors in smart vehicles brings benefits and vulnerabilities. Different kinds of sensors in smart vehicles are vulnerable to cyber-attack. Until now, the
investigation of challenges and solutions for in-vehicle cybersecurity hasn’t discussed various sensor objects and their correlation. In this study, we studied the cyber security
problems of sensors in smart vehicles and how to overcome them. The research was designed as Systematic Literature Review (SLR) using the Kitchenham methodology with modification in the filtering phase using the artificial intelligence application, Elicit, to identify the problems, conclusions, and methodology description. Seventeen
publications from 2016 until 2023 were gained from five databases. As a result, we find that the most discussed object related to cybersecurity sensors on smart vehicles are
Electronic Control Units. Spoofing and jamming is still the most addressed threat, and machine learning is the most utilized solution to be implemented in detection systems.
Advanced detection systems are incorporating updated attack models. We also suggest using updated attack models and machine learning algorithms to ensure the safety and security of smart vehicle technology. All identified sensor technology correlated using mind maps under the Intelligent Transport System theory.Používání senzorů v inteligentních vozidlech přináší výhody i slabá místa. Různé druhy senzorů v inteligentních vozidlech jsou zranitelné vůči kybernetickým útokům. Doposud se
zkoumání výzev a řešení kybernetické bezpečnosti ve vozidlech nezabývalo různými objekty senzorů a jejich vzájemnou korelací. V této studii jsme studovali kybernetickou bezpečnost
problémy senzorů v inteligentních vozidlech a způsoby jejich překonání. Výzkum byl koncipován jako Systematický přehled literatury (SLR) s využitím Kitchenhamovy metodiky s modifikací ve fázi filtrování s využitím aplikace umělé inteligence Elicit pro identifikaci problémů, závěrů a popisu metodiky. Sedmnáct
publikací z let 2016 až 2023 bylo získáno z pěti databází. Výsledkem je zjištění, že nejdiskutovanějším objektem souvisejícím s kybernetickou bezpečností senzorů na inteligentních vozidlech jsou
Elektronické řídicí jednotky. Nejvíce řešenou hrozbou je stále spoofing a rušení a nejvyužívanějším řešením, které je třeba implementovat do detekčních systémů, je strojové učení.
Pokročilé detekční systémy zahrnují aktualizované modely útoků. K zajištění bezpečnosti a zabezpečení technologie inteligentních vozidel navrhujeme rovněž používat aktualizované modely útoků a algoritmy strojového učení. Všechny identifikované senzorové technologie korelují pomocí myšlenkových map v rámci teorie inteligentního dopravního systému
Developing a Prototype for Enhancing Data Security in LoRaBased Theft Detection Systems Using ASCON-128 Encryption
Get PDFAsset protection is crucial for organizations to prevent theft. This study presents a LoRa-based theft detection prototype enhanced with ASCON-128 encryption for secure data transmission. The system consists of a transmitter attached to assets and a receiver in a monitoring room, featuring a web-based digital map for real-time tracking. ASCON-128, a NIST-standard lightweight encryption algorithm, ensures data confidentiality and integrity against ManIn-The-Middle (MITM) attacks. The system was evaluated based on transmission speed, power consumption, and security performance. Results indicate that ASCON-128 integration reduces data transmission speed by 42.7% in Line-of-Sight (LOS) and 45.35% in Non-Line-of-Sight (NLOS) conditions. Power consumption increased by 2.7% in standby mode and 12.85% under simulated attack scenarios. Despite these trade-offs, encryption provides significant security benefits with acceptable resource overhead, making it a viable solution for LoRa-based asset tracking and theft detection
Two Sides to Every Story: Perspectives from Four Patients and a Healthcare Professional on Multiple Sclerosis Disease Progression
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Measurement of Digital Literacy Index of High School Students or Equivalent in Bogor Regency
Get PDFThe digitalization era is developing rapidly in Indonesia. The pandemic that occurred accelerated digital transformation in various fields. Various digital platforms were developed to support the continuity of education during the pandemic so that they could develop digital skills and improve the status of digital literacy in Indonesia. In addition to the positive impacts, there are also negative impacts from the development of digital transformation. The National Cyber and Crypto Polytechnic which focuses on information security is committed to encouraging increased digital skills and literacy in the surrounding community. Therefore, this time the National Cyber and Crypto Polytechnic located in Bogor Regency began to focus on developing digital skills and literacy among high school students or equivalent in Bogor Regency. The students\u27 digital literacy status was first measured and then the right program or activity was determined to develop their digital skills and literacy. The digital literacy status was measured based on four pillars, Pillar 1 Digital Skill, Pillar 2 Digital Ethics, Pillar 3 Digital Safety, and Pillar 4 Digital Culture. Data collection was carried out by giving questionnaires to 276 high school students or equivalent who used the internet in Bogor Regency. Students give a score to each statement and then the score will be calculated as an average per pillar. The digital literacy index is obtained from the average score of all pillars. The digital literacy index result is 3.14 which is higher than the West Java digital literacy index of 2.78. In addition, pillar 2 Digital Ethic has the lowest score among the four pillars so that the next program is expected to aim to increase this score
In Silico Study of Cladosporol and Its Acyl Derivatives as Anti-Breast Cancer Against Alpha-Estrogen Receptor
Get PDFBreast cancer is a chronic health problem that causes 690,000 deaths worldwide. The development of secondary metabolite compounds from natural preparations through an in silico approach is needed as a predictive tool to prevent breast cancer, one of them is cladosporol from Cladosporium spp. This study aims to utilize an in silico approach to predict the potential of cladosporol against alpha-estrogen receptors. The alpha-estrogen receptor with code 6CBZ was selected based on group function as pharmacophore in ligand-receptor interaction. The methods used in this study are by using an in silico approach with Molegro Virtual Docker (MVD) Ver 5.5 for the docking process and CABS-flex 2.0 for identifying the stability of the complexes. ADMET properties analysis was also performed to know the pharmacokinetics attributes of cladosporol. Based on research conducted, stated that cladosporol octanoate has the lowest rerank score with a -84.3593 value and the RMSD value is 1.195 Å so it’s valid for molecular docking. Exploration of cladosporol for anti-breast cancer from Cladosporium spp fungi can be a novelty for the development of future pharmaceutical research. Thus, the development of anti-cancer drugs for early prevention can be carried out to reduce the number of breast cancer cases worldwide
Mathematics in Cryptography and Its Applications in Cybersecurity
No full textThe growing prevalence of cyber threats and attacks poses significant risks to the security of personal data and the integrity of sensitive information worldwide. Cryptography plays a vital role in establishing strong cybersecurity defenses, and the development of robust cryptographic algorithms is essential for protecting data against cyber-attacks. This workshop aimed to enhance participants’ understanding of the mathematical foundations of cryptographic algorithms and equip them with practical skills to identify and mitigate cyber threats. It also introduced innovative educational tools, including an Augmented Reality (AR) application for teaching classical cryptography and a Game-Based URL Phishing Education application. A total of 110 participants attended and completed the pre-test. The post-test measured knowledge gained during the workshop, and an accompanying survey gathered feedback on its effectiveness and identified areas for improvement. Overall, the workshop successfully achieved its objectives by educating participants on cryptography in the Internet of Things (IoT), increasing awareness of social engineering, introducing cryptographic tools from ancient to modern times, and exploring the principles of quantum cryptography
Molecular interaction analysis of ferulic acid (4-hydroxy-3-methoxycinnamic acid) as main bioactive compound from palm oil waste against MCF-7 receptors: An in silico study
Get PDFFerulic acid (4-hydroxy-3-methoxycinnamic acid) is a phytochemical compound that is commonly found in conjugated forms within mono-, di-, polysaccharides and other organic compounds in cell walls of grain, fruits, and vegetables. This compound is highly abundant in the palm oil waste. The aim of the study was to predict the anticancer activity of ferulic acid against the breast cancer cell lines (MCF-7) receptors through a computational analysis. MCF-7 receptors with PDB IDs of 1R5K, 2IOG, 4IV2, 4IW6, 5DUE, 5T92, and 5U2B were selected based on the SMILE similarity of the native ligand. Thereafter, the protein was prepared on Chimera 1.16 and docked with ferulic acid on Autodock Vina 1.2.5. The ligand-protein complex interaction was validated by computing the root mean square fluctuation (RMSF) and radius of gyration (Rg) through molecular dynamic simulation. In addition, an absorption, distribution, metabolism, excretion, and toxicity (ADMET) prediction was performed on ferulic acid using the pkCSM platform. The molecular docking revealed that the ferulic acid could interact with all receptors as indicated by the affinity energy <-5 kcal/mol. The compound had the most optimum interaction with receptor 2IOG (affinity energy=-6.96 kcal/mol), involving hydrophobic interaction (n=12) and polar hydrogen interaction (n=4). The molecular dynamic simulation revealed that the complex had an RMSF of 1.713 Å with a fluctuation of Rg value around 1.000 Å. The ADMET properties of ferulic acid suggested that the compound is an ideal drug candidate. In conclusion, this study suggested that ferulic acid, which can be isolated from palm oil waste, has the potential to interact with MCF-7 receptors
