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3. ETGuard: Detecting D2D Attacks using Wireless Evil Twins

Author

Jain, Vineeta, Laxmi, Vijay, Gaur, Manoj Singh, and Mosbah, Mohamed

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Cryptography and Security
Abstract

In this paper, we demonstrate a realistic variant of wireless Evil Twins (ETs) for launching device to device (D2D) attacks over the network, particularly for Android. We show an attack where an ET infects an Android device before the relay of network traffic through it, and disappears from the network immediately after inflicting the device. The attack leverages the captive portal facility of wireless networks to launch D2D attack. We configure an ET to launch a malicious component of an already installed app in the device on submission of the portal page. In this paper, we present an online, incremental, automated, fingerprinting based pre-association detection mechanism named as ETGuard which works as a client-server mechanism in real-time. The fingerprints are constructed from the beacon frames transmitted by the wireless APs periodically to inform client devices of their presence and capabilities in a network. Once detected, ETGuard continuously transmits deauthentication frames to prevent clients from connecting to an ET. ETGuard outperforms the existing state-of-the-art techniques from various perspectives. Our technique does not require any expensive hardware, does not modify any protocols, does not rely on any network specific parameters such as Round Trip Time (RTT), number of hops, etc., can be deployed in a real network, is incremental, and operates passively to detect ETs in real-time. To evaluate the efficiency, we deploy ETGuard in 802.11a/b/g wireless networks. The experiments are conducted using 12 different attack scenarios where each scenario differs in the source used for introducing an ET. ETGuard effectively detects ETs introduced either through a hardware, software, or mobile hotspot with high accuracy, only one false positive scenario, and no false negatives., Comment: 44 pages. Computers and Security, 2019

Published
2019
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5. Android Inter-App Communication Threats and Detection Techniques

Author

Bhandari, Shweta, Jaballah, Wafa Ben, Jain, Vineeta, Laxmi, Vijay, Zemmari, Akka, Gaur, Manoj Singh, Mosbah, Mohamed, and Conti, Mauro

Subjects
Computer Science - Cryptography and Security
Abstract

With the digital breakthrough, smart phones have become very essential component. Mobile devices are very attractive attack surface for cyber thieves as they hold personal details (accounts, locations, contacts, photos) and have potential capabilities for eavesdropping (with cameras/microphone, wireless connections). Android, being the most popular, is the target of malicious hackers who are trying to use Android app as a tool to break into and control device. Android malware authors use many anti-analysis techniques to hide from analysis tools. Academic researchers and commercial anti-malware companies are putting great effort to detect such malicious apps. They are making use of the combinations of static, dynamic and behavior based analysis techniques. Despite of all the security mechanisms provided by Android, apps can carry out malicious actions through collusion. In collusion malicious functionality is divided across multiple apps. Each participating app accomplish its part and communicate information to another app through Inter Component Communication (ICC). ICC do not require any special permissions. Also, there is no compulsion to inform user about the communication. Each participating app needs to request a minimal set of privileges, which may make it appear benign to current state-of-the-art techniques that analyze one app at a time. There are many surveys on app analysis techniques in Android; however they focus on single-app analysis. This survey augments this through focusing only on collusion among multiple-apps. In this paper, we present Android vulnerabilities that may be exploited for a possible collusion attack. We cover the existing threat analysis, scenarios, and a detailed comparison of tools for intra and inter-app analysis. To the best of our knowledge this is the first survey on app collusion and state-of-the-art detection tools in Android., Comment: 83 pages, 4 figures, This is a survey paper

Published
2016
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6. Comparative Study of Object Recognition Algorithms for Effective Electronic Travel Aids

Author

Joshi, Rashika, Tripathi, Meenakshi, Kumar, Amit, Gaur, Manoj Singh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tripathi, Meenakshi, editor, and Upadhyaya, Sushant, editor

Published
2021
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7. APPLADroid: Automaton Based Inter-app Privacy Leak Analysis for Android

Author

Jain, Vineeta, Laxmi, Vijay, Gaur, Manoj Singh, Mosbah, Mohamed, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nandi, Sukumar, editor, Jinwala, Devesh, editor, Singh, Virendra, editor, Laxmi, Vijay, editor, Gaur, Manoj Singh, editor, and Faruki, Parvez, editor

Published
2019
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8. DroidDivesDeep: Android Malware Classification via Low Level Monitorable Features with Deep Neural Networks

Author

Faruki, Parvez, Buddhadev, Bharat, Shah, Bhavya, Zemmari, Akka, Laxmi, Vijay, Gaur, Manoj Singh, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nandi, Sukumar, editor, Jinwala, Devesh, editor, Singh, Virendra, editor, Laxmi, Vijay, editor, Gaur, Manoj Singh, editor, and Faruki, Parvez, editor

Published
2019
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10. MAPPER: Mapping Application Description to Permissions

Author

Solanki, Rajendra Kumar, Laxmi, Vijay, Gaur, Manoj Singh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kallel, Slim, editor, Cuppens, Frédéric, editor, Cuppens-Boulahia, Nora, editor, and Hadj Kacem, Ahmed, editor

Published
2020
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12. DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions

Author

Somani, Gaurav, Gaur, Manoj Singh, Sanghi, Dheeraj, Conti, Mauro, and Buyya, Rajkumar

Subjects
Computer Science - Cryptography and Security, C.2.0
Abstract

Security issues related to the cloud computing are relevant to various stakeholders for an informed cloud adoption decision. Apart from data breaches, the cyber security research community is revisiting the attack space for cloud-specific solutions as these issues affect budget, resource management, and service quality. Distributed Denial of Service (DDoS) attack is one such serious attack in the cloud space. In this paper, we present developments related to DDoS attack mitigation solutions in the cloud. In particular, we present a comprehensive survey with a detailed insight into the characterization, prevention, detection, and mitigation mechanisms of these attacks. Additionally, we present a comprehensive solution taxonomy to classify DDoS attack solutions. We also provide a comprehensive discussion on important metrics to evaluate various solutions. This survey concludes that there is a strong requirement of solutions, which are designed keeping utility computing models in mind. Accurate auto-scaling decisions, multi-layer mitigation, and defense using profound resources in the cloud, are some of the key requirements of the desired solutions. In the end, we provide a definite guideline on effective solution building and detailed solution requirements to help the cyber security research community in designing defense mechanisms. To the best of our knowledge, this work is a novel attempt to identify the need of DDoS mitigation solutions involving multi-level information flow and effective resource management during the attack., Comment: Published in Computer Communications, Volume 107, 2017, Eslevier

Published
2015
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13. 3D LBDR: Logic-Based Distributed Routing for 3D NoC

Author

Sharma, Ashish, Tailor, Manish, Bhargava, Lava, Gaur, Manoj Singh, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Rajaram, S., editor, Balamurugan, N.B., editor, Gracia Nirmala Rani, D., editor, and Singh, Virendra, editor

Published
2019
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23. Performance-Enhanced -LBDR for 2D Mesh Network-on-Chip

Author

Jain, Anugrah, Laxmi, Vijay, Tripathi, Meenakshi, Gaur, Manoj Singh, Bishnoi, Rimpy, Barbosa, Simone Diniz Junqueira, Series editor, Chen, Phoebe, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Yuan, Junsong, Series editor, Zhou, Lizhu, Series editor, Kaushik, Brajesh Kumar, editor, Dasgupta, Sudeb, editor, and Singh, Virendra, editor

Published
2017
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24. Secure Random Encryption for Deduplicated Storage

Author

Dave, Jay, Saharan, Shweta, Faruki, Parvez, Laxmi, Vijay, Gaur, Manoj Singh, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shyamasundar, Rudrapatna K., editor, Singh, Virendra, editor, and Vaidya, Jaideep, editor

Published
2017
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31. Integration of Built In Self Test during behavioural synthesis

Author

Gaur, Manoj Singh

Subjects
621.395
Abstract

Built In Self Test (BIST) offers an economical and effective solution to the problem of testing VLSI circuits for manufacturing defects. The testability insertion phase for BIST is normally after the logic synthesis and verification in VLSI design cycle. Most methods start from structural descriptions; they include testability features by re-arranging RTL descriptions in order to make the designs more testable. Such methods are sometimes called as high-level test synthesis. Considering testability at such a late stage in design flow often leads to problems such as exceeding chip area, inability to achieve the required throughput and degraded performance. Even though it can be argued that good results have been obtained with such approaches, we must keep in mind that, with the emergence of commercial behavioural synthesis tools, it is difficult for the designer to understand an automatically generated structural RTL description. With ever-increasing levels of complexity and an ever-shrinking time to market window, test synthesis must not be dissociated from design synthesis. High-level CAD tools allow designers to address testability concurrently with design at the highest level of abstraction, promoting the possibility of generating designs optimised both in terms of functionality and self-test. We show that by considering testability at the same time as other design parameters, a better overall solution can be obtained. This work shows that it is possible to generate optimised self-testable RTL from a behavioural description. This is achieved by developing novel and accurate incrementally iterative BIST resource estimation methods and integrating them within a unified synthesis flow. BIST resource estimation is done from the target architecture control path of the design behaviour during design space exploration. In the proposed integration for testability we exploit the available data flow graph information of the design for an automated generation of self test structures for the data path and controller pair.

Published
2004

34. Fault Aware Dynamic Adaptive Routing Using LBDR

Author

Bishnoi, Rimpy, Laxmi, Vijay, Gaur, Manoj Singh, Baskota, Mohit, Gaur, Manoj Singh, editor, Zwolinski, Mark, editor, Laxmi, Vijay, editor, Boolchandani, Dharmendra, editor, Sing, Virendra, editor, and Sing, Adit D., editor

Published
2013
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36. DARAC: DDoS Mitigation Using DDoS Aware Resource Allocation in Cloud

Author

Somani, Gaurav, Johri, Abhinav, Taneja, Mohit, Pyne, Utkarsh, Gaur, Manoj Singh, Sanghi, Dheeraj, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jajoda, Sushil, editor, and Mazumdar, Chandan, editor

Published
2015
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39. Privacy Leakage Attacks in Browsers by Colluding Extensions

Author

Saini, Anil, Gaur, Manoj Singh, Laxmi, Vijay, Singhal, Tushar, Conti, Mauro, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Prakash, Atul, editor, and Shyamasundar, Rudrapatna, editor

Published
2014
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41. Multivariate verification for sybil attack detection in VANET

Author

Grover Jyoti, Gaur Manoj Singh, and Laxmi Vijay

Subjects
vanet, security, sybil attack, identity forging, simulation, Electronic computers. Computer science, QA75.5-76.95
Abstract

Wireless vehicular communication is used to enhance traffic safety and to minimize congestion, thereby leading to increased driving efficiency. A malicious node can transmit an inaccurate message to trigger inevitable situations by pretending to be multiple (other) vehicles. Therefore, it is critical to identify malicious nodes as well as fake messages generated by such nodes, and discard such messages quickly. In a Sybil attack, an attacker participates in the network with multiple forged identities in order to disrupt the fundamental operations of VANET. Sybil attacks are particularly easy to launch in VANETs due to the open and broadcast nature of communication medium. In this paper, we present the implementation of simulated Sybil attack scenario in VANET and its consequences on the performance of the network. We also propose a lightweight, scalable and distributed detection approach based on the difference in movement patterns of Sybil nodes and legitimate nodes. In our approach, each Road Side Unit (RSU) computes, stores and verifies various parameter values including RSS, distance, angle of passing-by vehicles through passive overhearing process to detect Sybil attackers. The combination of different parameters makes our detection approach highly accurate. We validate our results on realistic traces obtained from a multi-agent microscopic traffic simulator (MMTS). Simulation results show the effectiveness of the proposed approach to locate Sybil nodes with a different number of network parameters.

Published
2015
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45. Misbehavior Detection Based on Ensemble Learning in VANET

Author

Grover, Jyoti, Laxmi, Vijay, Gaur, Manoj Singh, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Thilagam, P. Santhi, editor, Pais, Alwyn Roshan, editor, Chandrasekaran, K., editor, and Balakrishnan, N., editor

Published
2012
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46. PEAL—Packed Executable AnaLysis

Author

Laxmi, Vijay, Gaur, Manoj Singh, Faruki, Parvez, Naval, Smita, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Thilagam, P. Santhi, editor, Pais, Alwyn Roshan, editor, Chandrasekaran, K., editor, and Balakrishnan, N., editor

Published
2012
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49. A Novel Attack Model Simulation in OLSR

Author

Kumar, Manish, Kaur, Rajbir, Laxmi, Vijay, Gaur, Manoj Singh, Abraham, Ajith, editor, Lloret Mauri, Jaime, editor, Buford, John F., editor, Suzuki, Junichi, editor, and Thampi, Sabu M., editor

Published
2011
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