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Ahmed Alahmadi

dblp:136/0112 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2015
0000-0001-6613-6822ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 first-authorComputer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Network security · 68% Cryptographic primitives and cryptanalysis · 32%
Computer networks
2 papers
Wireless networking · 66% Internet of things and sensor networks · 26% Physical-layer communications · 8%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network security › intrusion detection and prevention › intrusion detection
attack detection
0.422015
Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks · IEEE Trans. Inf. Forensics Secur. 2015
Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard · IEEE Trans. Inf. Forensics Secur. 2014
Network security › wireless network security › cognitive radio network security
primary user emulation attack
0.422015
Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks · IEEE Trans. Inf. Forensics Secur. 2015
Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard · IEEE Trans. Inf. Forensics Secur. 2014
Wireless networking
cognitive radio
0.322015
Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks · IEEE Trans. Inf. Forensics Secur. 2015
Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard · IEEE Trans. Inf. Forensics Secur. 2014
Internet of things and sensor networks
energy harvesting
0.212015
Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks · IEEE Trans. Inf. Forensics Secur. 2015
Wireless networking › simultaneous wireless information and power transfer
power splitting
0.212015
Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks · IEEE Trans. Inf. Forensics Secur. 2015
Cryptographic primitives and cryptanalysis › block cipher
AES
0.212014
Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard · IEEE Trans. Inf. Forensics Secur. 2014
Cryptographic primitives and cryptanalysis
symmetric cryptography
0.212014
Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard · IEEE Trans. Inf. Forensics Secur. 2014
Physical-layer communications › modulation › multicarrier modulation
OFDM
0.112015
Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks · IEEE Trans. Inf. Forensics Secur. 2015
Wireless networking › cognitive radio
spectrum sharing
0.112014
Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard · IEEE Trans. Inf. Forensics Secur. 2014

Methods — techniques the papers use, named apart from their topics

convex optimization · 0.4advanced encryption standard · 0.4autocorrelation analysis · 0.4
YearPublicationVenuePosition
2015 Subband PUEA Detection and Mitigation in OFDM-Based Cognitive Radio Networks
abstract
This paper considers malicious user detection and energy harvesting in orthogonal frequency division multiplexing-based cognitive radio networks under primary user emulation attack (PUEA). The digital TV (DTV) model adopted is the second generation terrestrial digital television standard (DVB-T2). In this paper, first, we propose an efficient advanced encryption standard (AES)-based DTV scheme, where the existing reference sequence used to generate the P2 pilot symbols in the DVB-T2 frames is encrypted using the AES algorithm to facilitate accurate primary user and malicious user detection. With the proposed scheme, we can detect PUEA accurately over all subcarriers or subbands where the P2 symbols present. Second, we come up with an effective communication scheme for the secondary users (SUs) under PUEA by exploiting the energy harvesting techniques. Optimal power splitting is considered for sum-rate maximization. As the optimal solution relies on multidimensional exhaustive search, we propose an effective suboptimal solution with much lower computational complexity. It is observed that the sum-rate of the SU network can be improved significantly with the energy harvesting technique. Third, we evaluate the worst case PUEA interference in terms of minimizing the sum-rate for the SUs. We show that for practical systems, as channel state information among the SUs is not available to the malicious user, the worst jamming for the SUs is when the malicious user performs equal power allocation over all the white space subcarriers. Simulation results are provided to illustrate the proposed approaches.
Ahmed Alahmadi, Zhaoxi Fang, Tianlong Song, Tongtong Li
IEEE Trans. Inf. Forensics Secur.1
2014 Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard
abstract
This paper considers primary user emulation attacks in cognitive radio networks operating in the white spaces of the digital TV (DTV) band. We propose a reliable AES-assisted DTV scheme, in which an AES-encrypted reference signal is generated at the TV transmitter and used as the sync bits of the DTV data frames. By allowing a shared secret between the transmitter and the receiver, the reference signal can be regenerated at the receiver and used to achieve accurate identification of the authorized primary users. In addition, when combined with the analysis on the autocorrelation of the received signal, the presence of the malicious user can be detected accurately whether or not the primary user is present. We analyze the effectiveness of the proposed approach through both theoretical analysis and simulation examples. It is shown that with the AES-assisted DTV scheme, the primary user, as well as malicious user, can be detected with high accuracy under primary user emulation attacks. It should be emphasized that the proposed scheme requires no changes in hardware or system structure except for a plug-in AES chip. Potentially, it can be applied directly to today's DTV system under primary user emulation attacks for more efficient spectrum sharing.
Ahmed Alahmadi, Mai Abdelhakim, Jian Ren 0001, Tongtong Li
IEEE Trans. Inf. Forensics Secur.1
2013 Mitigating primary user emulation attacks in cognitive radio networks using advanced encryption standard
abstract
This paper considers primary user emulation attacks (PUEA) in cognitive radio networks operating in the white spaces of the digital TV (DTV) band. We propose a reliable AES-encrypted DTV scheme, in which an AES-encrypted reference signal is generated at the TV transmitter and used as the sync bytes of each DTV data frame. By allowing a shared secret between the transmitter and the receiver, the reference signal can be regenerated at the receiver and be used to achieve accurate identification of authorized primary users. We analyze the effectiveness of the proposed approach through both theoretical derivation and simulation examples. It is shown that with the AES-encrypted DTV scheme, the primary user can be detected with high accuracy and low false alarm rate under primary user emulation attacks. It should be emphasized that the proposed scheme requires no changes in hardware or system structure except of a plug-in AES chip. Potentially, it can be applied to today's DTV system directly to mitigate primary user emulation attacks, and achieve efficient spectrum sharing.
Ahmed Alahmadi, Mai Abdelhakim, Jian Ren 0001, Tongtong Li
GLOBECOM1