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Advances in computing, Communication Control and Networking (ICAC3N), International Conference on

作者： S Dija J Ajana V Indu M Sabarinath C-DAC (Centre for Development of Advanced Computing) Thiruvananthapuram India

ISBN: (纸本)9781665438124

Nowadays, most of the reported cybercrimes use the Internet. It is seen that Web Browsers leave forensically sound footprints of Internet browsing activities on the computer’s storage media. The traces once retrieved stand as crucial hints that help the investigator to reconstruct various events that the suspect has done. However, the usage of private or portable web browsers prevents the creation of those files on the Suspect’s Computer. This makes the job of investigators more challenging. But, the remnants of browsing activities done using any web browser is recorded in the Physical Memory of the Computer. Hence, analyzing the Physical Memory Dump of the suspect's machine, collected as part of Live Forensics, may provide lots of forensically sound evidence related to the Internet-related activities in a cybercrime investigation. This information provides highly crucial information which can render hints in the investigation process. One of the most important features of any Cyber Forensics Analysis Tool is keyword searching. But identifying and finalizing the keywords to be searched during the analysis process in a particular Cyber Crime is always challenging for the investigators. The task of retrieving searched keywords is crucial as it directly provides the criminal background of the Suspect if any. This information enables cyber forensics investigators to conduct a focused approach while analyzing the evidence. This paper mainly presents a novel methodology for the reconstruction of searched keywords from the Physical Memory Dump collected from the Suspect’s Windows 10 Computers. A methodology for retrieving keywords from the browser files generated by Web Browsers in the storage media has also been described. The keywords retrieved in this way helps the Investigators to identify the associated highly crucial information during the deep-dive analysis of the storage media in Offline Forensic Analysis.

关键词： Forensics Keyword search Media Browsers Internet Computer crime Task analysis

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Red Palm Weevil Detection System for Early Warning and Mitigation of Crop Loss

Red Palm Weevil Detection System for Early Warning and Mitig...

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Connected Systems & Intelligence (CSI), International Conference on

作者： Parvathy S.R. Deepak Jayan P. Nimmy Pathrose Rajesh K.R. Lekshmy Janardhanan R James Varghese Vishnu S. Nimmy Mathew Sujith B. Kallara Centre for Development of Advanced Computing A Scientific Society of the Ministry of Communication and Information Technology Govt. of India Thiruvananthapuram Kerala India

ISBN: (数字)9781665458153

ISBN: (纸本)9781665458160

Red Palm Weevil infestation affecting palm trees is a major problem faced by coconut farmers, causing severe economic losses to palm cultivators worldwide. This infestation is fatal to the trees and can easily spread to nearby palms affecting a large number of trees, if left undetected. Detection of infestation at an early stage is critical for timely action to save palm trees. The paper presents a system for early detection of Red Palm Weevil infestation, by providing a smart, non-invasive and portable solution to the problem. The system based on an accelerometer sensor, analyses the signals from the palm and checks out for the unique features present in the signals generated by the pest. Audio, visual and SMS warnings are generated by the system on detecting infestation. The system also wirelessly communicates the infestation status to a remote database, which stores and maintains the historical data of palm trees monitored using this device, for facilitating pest control and management.

关键词： Economics Productivity Visualization Databases Vegetation Dogs Tools

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Garbage Zero (Garb0): An IoT Framework for Effective Garbage Management in Smart Cities

Garbage Zero (Garb0): An IoT Framework for Effective Garbage...

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Artificial Intelligence and Smart Systems (ICAIS), International Conference on

作者： Sagar Chavan Umesh Patil Santosh Sam Koshy S.V. Srikanth Centre for Development of Advanced Computing (C-DAC) Hyderabad India

ISBN: (数字)9781728195377

ISBN: (纸本)9781728195384

Today, there is a significant trend of blending optimized waste management strategies with low power, low-cost Internet of Things (IoT) solutions. This paper discusses and investigates Garbage Zero (Garb0), an indigenous product developed for outdoor garbage bins. Garb0 aims at developing a power efficient IoT based real-time solid waste monitoring solution that helps cities to optimize their waste collection and maintain clean and green environment. The Garb0 sensor module can be installed within public garbage bins to provide real time fill level data. The related information regarding the current fill level of the garbage bin will be transmitted to a cloud using the Low Power Wide Area Networks (LPWAN) based Long Range (LoRa) technology [1][2], which will be further processed and forwarded to garbage collector's mobile application and to the municipal dashboard for updating the status. Optimized schedule and route for collecting the garbage from the garbage bins will be generated on the garbage collector's app and accordingly directs the driver to follow the most efficient route. The main focus of this paper is on the hardware and software architecture implemented to achieve low cost, low power consumption and long battery life.

关键词： Wide area networks Waste management Waste materials Software architecture Smart cities Real-time systems Internet of Things

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DNS Intrusion Detection (DID) — A SNORT-based solution to detect DNS Amplification and DNS Tunneling attacks

Franklin Open

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Franklin Open 2023年 2卷

作者： Adiwal, Sanjay Rajendran, Balaji D., Pushparaj Shetty Sudarsan, Sithu D. Centre for Development of Advanced Computing (C-DAC) Karnataka Bangalore India Department of Mathematical and Computational Sciences National Institute of Technology Karnataka Surathkal India

Domain Name System (DNS) plays a critical role in the Internet ecosystem, translating numerical IP addresses to memorable domain names and vice versa. The malicious user targets DNS by taking advantage of vulnerabilities in DNS. The most complex attacks in the DNS attacks vector include Distributed Denial of Service (DDoS) based DNS amplification attacks and sophisticated DNS tunneling attacks. An Intrusion Detection System (IDS) is a solution available to monitor the traffic for intrusion in the network but not exclusively for DNS intrusions. In this research paper, we present – DNS Intrusion Detection (DID), a system integrated into SNORT – a prominent open-source IDS, to detect major DNS-related attacks. We developed novel IDS signatures for various tools used in the tunneling, amplification, and DoS attacks and added them to the existing ruleset file of IDS to detect DNS-based intrusions. Our approach successfully identifies empirical DNS attacks carried out by various known tools available over the Internet. Evaluation of DID showed a high detection rate and a very low false-positive rate. © 2023 The Author(s)

关键词： Amplification DNS intrusion DNS vulnerabilities DoS IDS Tunneling

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P-FMA: A Novel Parameterized Posit Fused Multiply-Accumulate Arithmetic Processor

P-FMA: A Novel Parameterized Posit Fused Multiply-Accumulate...

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International Conference on VLSI Design

作者： Sandra Jean Aneesh Raveendran A. David Selvakumar Gagandeep Kaur Shankar G Dharani Shashikala Gunderao Pattanshetty Vivian Desalphine Centre for Development of Advanced Computing (C-DAC) Bangalore India

ISBN: (纸本)9781665440875;9781665431279

IEEE 754-2008 based Floating Point Unit (FPU) is computationally complex and consumes higher resources depending on precision and dynamic range viz. half/ single/double/quad precision. In order to optimize and balance the resources with Accuracy Vs Precision Vs Dynamic range, researchers had recommended and adopted trans-precision arithmetic or approximate arithmetic. Posit data type is an alternate to IEEE 754 floats providing an increased precision and dynamic range for the same data size. Fused functional units are the perfect fit for optimizing resources for arithmetic computations. This work presents algorithm and microarchitecture design of a novel parameterized and 5 stages pipelined Posit fused multiply and accumulate (P-FMA) unit which performs addition, subtraction, multiplication and multiply and accumulate operations. Our unit has been verified with random test vectors and IEEE float to Posit converted test-vectors generated from FPGen and Berkeley Test Float with Soft Posit's output as reference. Code coverage analysis of P-FMA showed that IEEE floats to posit converted vectors yielded higher coverage and better verification. The unit has been synthesized on FPGA and the results have been compared with other contemporary Posit FMAs. Our work has lesser critical path and comparable area. Our FMA unit was integrated with Posit divide and square root unit for verification with a kernel and validated with evaluation of Pi (n) adopting Chudnovsky algorithm to investigate the accuracy of our Posit FMA. The Pi estimates from Posit (64, es=lto 6) have been compared with an IEEE 754 FPU (double precision) based Pi estimate. Our P-FMA integrated with other Posit units could enable computing Pi to 16 digit accuracy in reference to Y-Cruncher, as compared to 15 digits accuracy of IEEE Double-Precision float.

关键词： Microarchitecture Embedded systems Heuristic algorithms Dynamic range Very large scale integration Approximation algorithms Kernel

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Dynamic Stacked Ensemble with Entropy based Undersampling for the Detection of Fraudulent Transactions

Dynamic Stacked Ensemble with Entropy based Undersampling fo...

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International Conference for Convergence of Technology (I2CT)

作者： Ramesh Naidu Laveti Abhay Anand Mane Supriya N Pal Centre for Development of Advanced Computing (C-DAC) Bangalore India

Fraud detection in finance such as finding fraudulent credit card or debit card transactions is still an open research problem and the solutions are evolving. In a financial transactions database, the number of fraudulent transactions will be very less which creates the class imbalance. Imbalanced data always causes serious challenges to a fraud detection model. Existing solutions such as undersampling and oversampling alleviate class imbalance problem but still they have lot of limitations. For example, oversampling demands significant computational time and undersampling suffer from loss of samples containing critical information related to majority class, in turn leads to poor generalization of the fraud detection model. We developed an entropy-based undersampling with dynamic stacked ensemble model for fraud detection, which we named as EUStack. To achieve undersampling, it evaluates the information content from each sample using Shannon entropy and selects the most informative subset of samples from the majority class. A two-level stacked ensemble is combined with this new undersampling method to improve the generalization performance of the fraud detection model. The credit card transactions dataset by “Worldline and the Machine Learning Group of ULB, hosted at Kaggle” was used to verify the robustness of EUStack. The dataset is highly imbalanced with 492 fraudulent transactions (0.172%) out of 284,807 transactions. EUStack was evaluated using F1 score and Matthews Correlation Coefficient (MCC). Experimental results demonstrate that it achieved high F1 (0.88) and MCC (0.88) scores when compared to the conventional undersampling based fraud detection methods.

关键词： Correlation coefficient Computational modeling Finance Machine learning Credit cards Entropy Data models

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Security Analysis of MITM Attack on SCADA Network 2nd

Security Analysis of MITM Attack on SCADA Network

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2nd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020

作者： Deb, Debasish Chakraborty, Sagorika Raj Lagineni, Mahendra Singh, Kirani Centre for Development of Advanced Computing Silchar India Cachar College Silchar India

ISBN: (纸本)9789811563171

Cybersecurity is one of the major concerns in the Supervisory Control and Data Acquisition Technique (SCADA) systems. The main goal of this paper is to check how secure the power SCADA System is? In SCADA systems, attackers either disable the system or attempt to damage the SCADA network by pushing out improper data or commands for disrupting communications. SCADA systems are most vulnerable to malicious attackers due to their interconnectivity in smart grids and usage of standard plain text protocols. In SCADA systems due to legacy communication infrastructure and protocols, they have cybersecurity vulnerabilities because systems were initially designed with less cyber threat consideration. This paper analyses the possibility of conducting Man-in-the-middle (MITM) attacks on SCADA communication, which uses an International Electrotechnical Commission (IEC 60870-5-104) SCADA communication protocol standard. The Packet Inspection method on SCADA systems is used for detection of MITM attacks conducted based on ARP Poisoning method. SCADA communication networks are used to control various infrastructures and play vital roles for utility companies and the process industries including the power sector, gas, oil, water, etc. This paper is used to analyze security threats in Remote Terminal Unit (RTU)-control center communication using packet sniffing on IEC-60870-5-104 standard compliance SCADA communications and by conducting MITM attacks on it. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Cybersecurity

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Secure Mobile ID Architecture on Android Devices based on Trust Zone

Secure Mobile ID Architecture on Android Devices based on Tr...

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International Conference on computing Methodologies and Communication (ICCMC)

作者： Kapil Kant Kamal Sunil Gupta Padmaja Joshi Monit Kapoor Centre for Development of Advanced Computing (C-DAC) Mumbai India University of Petroleum and Energy Studies (UPES) Dehradun India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

Owing to their mobility, persistent connectivity, and variety of applications, cell phones are now more often used as a primary computing platform than desktop computers and laptops. Users have widely adopted mobile platforms to perform sensitive tasks ranging from personal online payments to remote access to organizational services. Mobile devices can store a lot of data, including sensitive data like login credentials, photos, videos, personal information, etc. Through attacks on Mobile devices, attackers stole users sensitive and personal data which has become a critical issue nowadays. This article investigates the security of Android storage models and investigated Trusted Execution Environment (TEE) as a potential countermeasure for such attacks, and discuss a new approach to mobile identity (Mobile ID) based on TrustZone. Further, this study undertakes a design consideration analysis from the standpoint of system vulnerabilities.

关键词： Performance evaluation Portable computers Software Distance measurement Encryption Security Task analysis

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Comparative Analysis of Various Elliptic Curve Cryptography Algorithms for Handheld Devices

Comparative Analysis of Various Elliptic Curve Cryptography ...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

Today, all functions like purchases, banking, payments, social media, games, etc. are carried out using mobile phones. While performing these functionalities data transmission and authentication through the mobile device are important parts. The paper defines elliptic curve cryptography as a PKC scheme that can satisfy those demands. The application of elliptic curve cryptography (ECC) in such a limited setting is examined in our research along with the security and effectiveness of ECC. This paper assesses the effectiveness of ECC by conducting a comparative analysis of various implementation methods. The primary objective is to determine the optimal approach for ensuring user identity verification, authentication, and digital signing on mobile devices. The effective approach is then evaluated for mobile applications. To determine whether ECC encryption and decryption can handle all restrictions and provide good security, it is implemented and tested on the user module.

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Design, Simulation and Implementation of a Hybrid Micro Grid System

Design, Simulation and Implementation of a Hybrid Micro Grid...

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International Conference for Convergence of Technology (I2CT)

作者： K.R. Lekshmi V.K. Ashraf Ali Ashish M Anoop P Power Electronics Group Centre for Development of Advanced Computing Kerala India

In this paper an integrated microgrid system is proposed, where a unidirectional DC-DC converter for solar power management, a bidirectional DC-DC converter for battery power management, and a single phase inverter, which is controlled using a single digital processor to deliver a fixed power to the load. Solar power management is realized using Phase shifted full bridge converter battery power management is done using a bidirectional full bridge boost converter. The proposed system is capable to work in different modes managing the power flow based on some factors like availability of grid, availability of solar power, battery SOC etc. The control algorithm of each converter when working in different modes is explained in detail through this paper. The total system is simulated using PSIM simulation tool and performance is evaluated in a 2kW rated hybrid proto model. The simulation results and the results from the proto model confirms the effectiveness of the proposed control architecture.

关键词： Tracking loops Simulation Bridge circuits Signal processing algorithms DC-DC power converters Switches Tools

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